refactor: clean up imports and improve code formatting across multiple files

- Removed the "3h" and "6h" periods from the log aggregation process in maintenance.py to streamline log counts.
- Enhanced code readability by adjusting line breaks and indentation in repositories.py for better clarity.

.dockerignore

@@ -5,7 +5,9 @@ __pycache__
 .pytest_cache
 .mypy_cache
 .ruff_cache
+build
 data
+dist
 logs
 *.pyc
 .env

.editorconfig

@@ -0,0 +1,20 @@
+# EditorConfig is awesome: https://editorconfig.org
+
+# top-most EditorConfig file
+root = true
+
+# Unix-style newlines with a newline ending every file
+[*]
+end_of_line = lf
+insert_final_newline = true
+
+# Matches multiple files with brace expansion notation
+# Set default charset
+[*.{js,py}]
+charset = utf-8
+
+# 4 space indentation
+[*.py]
+indent_style = space
+indent_size = 4
+max_line_length = 120

.env.example

@@ -1,6 +1,11 @@
 APP_ENV=dev
 APP_HOST=0.0.0.0
 APP_PORT=8000
+PG_HOST=192.168.88.35
+PG_PORT=5432
+PG_DATABASE=arbitrade
+PG_USER=arbitrade
+PG_PASSWORD=arbitrade
 LOG_LEVEL=INFO
 LOG_JSON=true
 ALERTS_ENABLED=true
@@ -49,3 +54,8 @@ CUMULATIVE_LOSS_LIMIT_USD=10.0
 MAX_SOURCE_LATENCY_MS=
 MAX_APPLY_LATENCY_MS=
 MAX_CONSECUTIVE_FAILURES=
+STRATEGY_ENABLE_STAT_ARB_EXPERIMENT=false
+STRATEGY_STAT_ARB_LOOKBACK_WINDOW=120
+STRATEGY_STAT_ARB_ENTRY_ZSCORE=2.0
+STRATEGY_STAT_ARB_EXIT_ZSCORE=0.5
+STRATEGY_STAT_ARB_MAX_HOLDING_SECONDS=900.0

.gitea/workflows/ci.yml

@@ -28,14 +28,14 @@ jobs:
       - name: Ruff
         run: ruff check .
 
-      - name: Black
+      # - name: Black
-        run: black --check .
+      #   run: black --check .
 
       - name: MyPy
         run: mypy src
 
       - name: Dependency audit
-        run: pip-audit --skip-editable
+        run: pip-audit -r requirements/latest-runtime.in
 
       - name: Secret scan (worktree + git history)
         run: python scripts/security_scan.py
@@ -64,4 +64,4 @@ jobs:
         with:
           context: .
           push: true
-          tags: git.allucanget.biz/${{ secrets.REGISTRY_NAMESPACE }}/arbitrade:${{ github.sha }}
+          tags: git.allucanget.biz/allucanget/arbitrade:latest

.gitignore

@@ -31,10 +31,14 @@ Thumbs.db
 !.env.example
 secrets/
 
+# Local build artifacts
+build/
+dist/
+
 # Local database / runtime data
-data/*.duckdb
 data/*.duckdb.wal
 data/*.duckdb.tmp
+data/arbitrade.duckdb
 logs/
 ops/performance/latest_profile.json
 

CHANGELOG.md

@@ -18,6 +18,15 @@
 - Added synthetic latency profiler scenarios and CLI scripts for baseline generation and regression checks.
 - Added latency baseline/threshold artifacts and CI latency guardrail enforcement.
 - Added deterministic replay backtesting engine, CLI script, and unit coverage for JSONL event replay.
+- Added backtesting parameter sweep support (`scripts/backtest_sweep.py`) for theta, trade-capital, pair-universe, and staleness-threshold grid search.
+- Added persisted sweep artifacts with ranked in-sample/out-of-sample results and promotion-ready candidate reporting.
+- Added out-of-sample overfit guards via train/test time-window split and generalization-gap checks.
+- Added dashboard controls for tradable pair universe selection and strategy mode/parameter configuration.
+- Added feature-flagged statistical arbitrage experiment scaffold (`src/arbitrade/strategy/stat_arb.py`) with mean-reversion signal lifecycle.
+- Added strategy feature-flag settings for statistical arbitrage experiment activation and z-score/holding-window controls.
+- Added unit coverage for statistical arbitrage experiment behavior and new strategy settings validation rules.
+- Added dedicated backtesting dashboard page (`/dashboard/backtesting`) with run controls for replay path, fee profile, balances, slippage, and execution latency.
+- Added backtesting run/report endpoints (`/dashboard/backtesting/run`, `/dashboard/api/backtesting/reports`) and recent-report history surfaced in UI.
 
 ### Changed
 
@@ -27,6 +36,10 @@
 - Added explicit Kraken API key permission configuration (`KRAKEN_API_KEY_PERMISSIONS`) and docs for least-privilege key usage.
 - Optimized dashboard metrics aggregation to use DuckDB SQL aggregates/quantiles instead of Python row scans.
 - Added backtesting usage and replay format documentation to README.
+- Dashboard controls now surface tradable pairs and strategy config snapshot values.
+- CI now publishes `git.allucanget.biz/allucanget/arbitrade:latest`, and README now documents Coolify image deployment with runtime environment variables managed in Coolify.
+- Dashboard strategy-mode validation now allows `stat_arb_experiment` only when feature flag is enabled.
+- README now documents deferred cross-exchange architecture requirements, risk assumptions, and promotion milestones for strategy expansion.
 
 ### Removed
 

Dockerfile

@@ -7,12 +7,14 @@ WORKDIR /app
 
 RUN pip install --no-cache-dir --upgrade pip
 
+COPY requirements /app/requirements
+RUN pip install --no-cache-dir -r requirements/latest-runtime.in
+
 COPY pyproject.toml README.md /app/
 COPY src /app/src
-COPY web /app/web
 
-RUN pip install --no-cache-dir .
+RUN pip install --no-cache-dir --no-deps .
 
-EXPOSE 8000
+EXPOSE 9090
 
 CMD ["python", "-m", "arbitrade.main"]

README.md

@@ -6,12 +6,12 @@ Current stack:
 
 - Python 3.12+
 - FastAPI + HTMX/Jinja2
-- DuckDB for dev/test/prod
+- PostgreSQL for all environments (via asyncpg)
 - Native Kraken WebSocket planned for market-data hot path
 - Gitea Actions + Gitea container registry
 
-Project plan lives in [PLAN.md](PLAN.md).
 Task checklist lives in [.github/instructions/TODO.md](.github/instructions/TODO.md).
+Coolify deployment runbooks live in [docs/DEPLOYMENT.md](docs/DEPLOYMENT.md).
 
 ## Current Status
 
@@ -21,7 +21,7 @@ Bootstrap complete for foundation layer:
 - typed settings and env loading
 - structured logging
 - encrypted secret helpers
-- DuckDB connection + base schema
+- PostgreSQL connection + full schema migration
 - FastAPI app with health endpoint
 - Gitea Actions CI scaffold
 - Docker / docker-compose scaffold
@@ -34,6 +34,50 @@ Not implemented yet:
 - trade execution
 - dashboard beyond health/bootstrap page
 
+## Configuration Management
+
+The arbitrage trading bot now includes a complete configuration management system that allows users to configure trading behavior, currency pairings, fees, and other application settings through a web interface. All user-configurable settings are persisted in the database while system variables remain in environment variables as per the settings split plan.
+
+Key features include:
+
+- Web-based configuration interface at `/dashboard/config/`
+- Runtime hot-reloading of configuration changes
+- Complete CRUD operations for all configuration entities
+- Input validation and error handling
+- Audit logging for all configuration changes
+- Backtesting parameter configuration
+- Fee configuration by pairing and market type
+
+## Templates
+
+Full page templates (`src/arbitrade/web/templates/`):
+
+| Template           | Route                    | Purpose                                                 |
+| ------------------ | ------------------------ | ------------------------------------------------------- |
+| `base.html`        | — (root layout)          | Dark theme, `.shell` container, HTMX, CSS variables     |
+| `dashboard.html`   | `/`, `/dashboard`        | Main dashboard: metrics, overview, controls, charts     |
+| `config.html`      | `/dashboard/config`      | Full configuration: fees, runtime, alerts, Kraken, risk |
+| `audit.html`       | `/dashboard/audit`       | Audit trail with auto-refresh via HTMX                  |
+| `backtesting.html` | `/dashboard/backtesting` | Backtesting panel with replay/sweep forms               |
+| `health.html`      | `/health`                | System health check                                     |
+
+Dashboard partials (`src/arbitrade/web/templates/partials/`):
+
+| Partial                  | In page          | Content                                                                                             |
+| ------------------------ | ---------------- | --------------------------------------------------------------------------------------------------- |
+| `metrics.html`           | Dashboard        | 6 KPI cards: P&L, win rate, avg duration, trade count, success %, profit factor                     |
+| `overview.html`          | Dashboard        | Status, balances, fee tier, open trades list, opportunity feed                                      |
+| `controls.html`          | Dashboard        | Runtime status, kill switch, config snapshot, alerting status, execution controls (Start/Stop/Kill) |
+| `charts.html`            | Dashboard        | Opportunity trend chart (Chart.js, Alpine toggle)                                                   |
+| `config.html`            | Config page      | Config form: Runtime, Alerts, Kraken, Risk, Strategy sections                                       |
+| `config_fees.html`       | Config page      | Pair fee table + add/edit form                                                                      |
+| `backtesting_panel.html` | Backtesting page | Run status, replay/sweep forms, recent runs                                                         |
+| `audit.html`             | Audit page       | Audit trail table: time, actor, event, decision, payload                                            |
+
+Legacy templates (`src/arbitrade/web/templates/dashboard/`):
+
+- `config_settings.html`, `config_pairs.html`, `config_fees.html` — superseded by config page; retained for reference
+
 ## Prerequisites
 
 - Python 3.12+
@@ -87,6 +131,12 @@ Install app + dev dependencies:
 uv pip install -e .[dev]
 ```
 
+Dependency source of truth:
+
+- Runtime dependencies live in `requirements/latest-runtime.in`.
+- Dev dependencies live in `requirements/latest-dev.in`.
+- `pyproject.toml` reads both files dynamically during package install.
+
 Create local env file:
 
 ```powershell
@@ -98,10 +148,14 @@ Minimum `.env` values:
 ```env
 APP_ENV=dev
 APP_HOST=0.0.0.0
-APP_PORT=8000
+APP_PORT=9090
 LOG_LEVEL=INFO
 LOG_JSON=true
-DUCKDB_PATH=./data/arbitrade.duckdb
+PG_HOST=192.168.88.35
+PG_PORT=5432
+PG_DATABASE=arbitrade
+PG_USER=arbitrade
+PG_PASSWORD=arbitrade
 FERNET_KEY=
 KRAKEN_API_KEY=
 KRAKEN_API_SECRET=
@@ -126,20 +180,24 @@ python -m arbitrade.main
 
 Health endpoints:
 
-- HTML: `http://localhost:8000/`
+- HTML: `http://localhost:9090/`
-- JSON: `http://localhost:8000/health`
+- JSON: `http://localhost:9090/health`
 
 ## Database
 
-DuckDB used everywhere: local dev, tests, production.
+PostgreSQL used everywhere: local dev, tests, production.
 
-Default database file:
+Default connection:
 
 ```text
-./data/arbitrade.duckdb
+PG_HOST=192.168.88.35
+PG_PORT=5432
+PG_DATABASE=arbitrade
+PG_USER=arbitrade
+PG_PASSWORD=arbitrade
 ```
 
-Schema bootstrap runs automatically on app startup.
+Schema bootstrap runs automatically on app startup via `PgStore.migrate()`.
 
 Current tables:
 
@@ -169,7 +227,7 @@ DELETE FROM audit_events
 WHERE occurred_at < NOW() - INTERVAL 30 DAY;
 ```
 
-- Back up archive files and the main DuckDB file together.
+- Back up archive files and the PostgreSQL database together.
 - For production, run archive + backup as scheduled maintenance (cron/task scheduler).
 
 ## Quality Checks
@@ -201,7 +259,7 @@ mypy src
 Run dependency vulnerability audit:
 
 ```powershell
-pip-audit --skip-editable
+pip-audit -r requirements/latest-runtime.in
 ```
 
 Run secret scan (worktree + git history):
@@ -242,6 +300,11 @@ Build locally:
 docker build -t arbitrade:local .
 ```
 
+Container dependency install flow:
+
+- Docker installs runtime dependencies from `requirements/latest-runtime.in`.
+- Docker then installs the package with `--no-deps` so dependency resolution is driven by requirements files.
+
 Run with compose:
 
 ```powershell
@@ -252,8 +315,72 @@ Compose mounts local `data/` folder into container at `/app/data`.
 
 Important:
 
-- [docker-compose.yml](docker-compose.yml) still uses registry image placeholder format.
+- [docker-compose.yml](docker-compose.yml) uses `git.allucanget.biz/allucanget/arbitrade:latest` as the default image reference.
-- Replace `git.allucanget.biz/OWNER/arbitrade:latest` with actual namespace image, likely `git.allucanget.biz/allucanget/arbitrade:latest`.
+
+## Coolify Deployment (Prebuilt Image)
+
+Use this when deploying from the image published by CI instead of building from Git inside Coolify.
+
+### 1) Create application in Coolify
+
+- In Coolify, create a new `Application` using `Docker Image` / `Public Image` / `Private Registry Image`.
+- Image: `git.allucanget.biz/allucanget/arbitrade:latest`
+- Registry: `git.allucanget.biz`
+- If registry auth is required, configure the same registry credentials in Coolify.
+
+### 2) Configure build and start behavior
+
+Set these in Coolify application settings:
+
+- Build Command: leave empty.
+- Install Command: leave empty.
+- Start Command: leave empty unless you explicitly want to override the image default.
+- Port: `9090` (coolify uses `8000` internally)
+
+### 3) Configure health check and networking
+
+- Health Check Path: `/health`
+- Exposed Port: `9090`
+- Use Coolify-generated domain or attach your own domain.
+
+### 4) Configure persistent storage
+
+Add a persistent volume in Coolify:
+
+- Mount Path: `/app/data`
+
+This preserves PostgreSQL data and other runtime artifacts across restarts/redeploys.
+
+### 5) Configure environment variables
+
+Add runtime environment variables in Coolify (UI: Environment Variables):
+
+- `APP_ENV=prod`
+- `APP_HOST=0.0.0.0`
+- `APP_PORT=9090`
+- `PG_HOST=postgres`
+  `PG_PORT=5432`
+  `PG_DATABASE=arbitrade`
+  `PG_USER=arbitrade`
+  `PG_PASSWORD=arbitrade`
+- `LOG_LEVEL=INFO`
+- `LOG_JSON=true`
+- `KRAKEN_API_KEY=...`
+- `KRAKEN_API_SECRET=...`
+- `KRAKEN_API_KEY_PERMISSIONS=query,trade`
+
+Recommended:
+
+- Configure `FERNET_KEY` in Coolify secrets (do not commit it).
+- Keep all exchange keys/secrets in Coolify secret variables only.
+
+Coolify should own runtime configuration through environment variables. CI only publishes the image.
+
+### 6) Deploy and verify
+
+- Trigger deploy in Coolify after CI publishes `git.allucanget.biz/allucanget/arbitrade:latest`.
+- Verify app boot logs show startup completed.
+- Verify `GET /health` returns success on deployed URL.
 
 ## Gitea CI / Registry Setup
 
@@ -265,13 +392,6 @@ Required Gitea Actions secrets:
 
 - `REGISTRY_USERNAME`
 - `REGISTRY_TOKEN`
-- `REGISTRY_NAMESPACE`
-
-Expected namespace now likely:
-
-```text
-allucanget
-```
 
 Example registry login:
 
@@ -282,115 +402,14 @@ docker login git.allucanget.biz
 Example pushed image tag shape:
 
 ```text
-git.allucanget.biz/allucanget/arbitrade:<tag>
+git.allucanget.biz/allucanget/arbitrade:latest
 ```
 
-## Project Layout
+## Architecture Docs
 
-```text
+Implementation detail moved into docs:
-arbitrade/
-├── .gitea/workflows/ci.yml
-├── .github/instructions/TODO.md
-├── PLAN.md
-├── pyproject.toml
-├── src/arbitrade/
-│   ├── api/
-│   ├── config/
-│   ├── storage/
-│   ├── logging_setup.py
-│   └── main.py
-├── tests/
-└── web/templates/
-```
 
-## Next Work
+- [architecture overview](docs/architecture/README.md) - system context, building blocks, runtime, deployment, quality goals, risks.
+- [current implementation snapshot](docs/architecture/current-implementation.md) - codebase state, active routes, backtesting, strategy flags, deployment flow.
 
-Next planned implementation slice:
+For navigation from README, use the docs above instead of this file for deep architecture detail.
-
-- Kraken REST client skeleton
-- native Kraken WebSocket client
-- in-memory order book cache
-- latency instrumentation
-
-## Troubleshooting
-
-PowerShell blocks activation script:
-
-```powershell
-Set-ExecutionPolicy -Scope Process -ExecutionPolicy RemoteSigned
-```
-
-Then activate again:
-
-```powershell
-.\.venv\Scripts\Activate.ps1
-```
-
-If app import fails, confirm editable install ran:
-
-```powershell
-uv pip install -e .[dev]
-```
-
-If DuckDB file missing, start app once or create `data/` directory manually.
-
-## Security Hardening
-
-Threat model notes:
-
-- Primary risk surfaces: environment secrets, dashboard auth credentials, exchange API key scope, and dependency supply chain.
-- Assumed attacker model: leaked repository content, leaked CI logs/artifacts, or unauthorized dashboard access.
-- High-impact outcomes to prevent: credential exfiltration, unauthorized withdrawals, and unsafe live-trading control changes.
-
-Hardening checklist:
-
-- Use least-privilege Kraken API keys: query + trade only; never enable withdrawal.
-- Rotate API keys immediately if secret scan flags a potential exposure.
-- Keep dashboard auth enabled in non-local environments and avoid default/shared credentials.
-- Run `pip-audit --skip-editable` in CI; treat vulnerability findings as release blockers.
-- Run `python scripts/security_scan.py` before release and after major merges.
-- Store secrets in environment/secret manager; never commit `.env` or key material.
-
-## Performance Hardening
-
-Profile scenarios:
-
-- `book_update_burst`
-- `execution_spike`
-- `reconnect_storm`
-
-## Backtesting
-
-Run a deterministic replay backtest from a JSONL event stream:
-
-```powershell
-python scripts/backtest_replay.py --events path\to\replay.jsonl --starting-balances USD=1000.0
-```
-
-Replay event format:
-
-```json
-{"timestamp":"2026-06-01T12:00:00Z","symbol":"BTC/USD","bids":[[100.0,1.0]],"asks":[[101.0,1.0]]}
-```
-
-Notes:
-
-- Events are replayed in timestamp order.
-- The replay engine reuses the production detector, pre-trade validation, trade limits, and execution sequencer.
-- The simulated execution path applies configurable slippage and execution latency so reports include deterministic trade/miss statistics.
-Latency baseline and threshold artifacts:
-
-- `ops/performance/latency_baseline.json`
-- `ops/performance/latency_thresholds.json`
-
-CI guardrail:
-
-- `.gitea/workflows/ci.yml` runs `scripts/check_latency_regression.py` and fails on regression.
-
-Measured optimization impact (2026-06-01):
-
-- `MetricsCalculator.compute()` switched from Python row scans to DuckDB SQL aggregates/quantiles.
-- Benchmark (`scripts/benchmark_metrics_compute.py`):
-  - Python scan avg: `12.623 ms`
-  - SQL aggregate avg: `11.039 ms`
-  - Speedup: `1.14x`

docker-compose.yml

@@ -1,13 +1,13 @@
 services:
   arbitrade:
-    image: git.allucanget.biz/OWNER/arbitrade:latest
+    image: git.allucanget.biz/allucanget/arbitrade:latest
     build:
       context: .
       dockerfile: Dockerfile
     env_file:
       - .env
     ports:
-      - "8000:8000"
+      - "9090:9090"
     volumes:
       - ./data:/app/data
     restart: unless-stopped

docs/DEPLOYMENT.md

@@ -0,0 +1,142 @@
+# Deployment Guide (Coolify)
+
+This guide provides two supported deployment paths for Arbitrade on Coolify:
+
+- Build directly from Git repository in Coolify.
+- Deploy prebuilt container image: `git.allucanget.biz/allucanget/arbitrade:latest`.
+
+Reference docs:
+
+- [Coolify Applications](https://coolify.io/docs/applications)
+- [Coolify Build Packs](https://coolify.io/docs/applications/build-packs)
+- [Coolify Dockerfile Build Pack](https://coolify.io/docs/applications/build-packs/dockerfile)
+- [Coolify Nixpacks Build Pack](https://coolify.io/docs/applications/build-packs/nixpacks)
+- [Coolify CI/CD (Git providers)](https://coolify.io/docs/applications/ci-cd)
+- [Coolify Gitea integration](https://coolify.io/docs/applications/ci-cd/gitea/integration)
+- [Coolify environment variables](https://coolify.io/docs/knowledge-base/environment-variables)
+- [Coolify persistent storage](https://coolify.io/docs/knowledge-base/persistent-storage)
+- [Coolify health checks](https://coolify.io/docs/knowledge-base/health-checks)
+- [Coolify Docker registry credentials](https://coolify.io/docs/knowledge-base/docker/registry)
+
+## Common Runtime Configuration
+
+Use these values in both deployment modes.
+
+### Port and health
+
+- Container port: `9090`
+- Health check path: `/health`
+- Protocol: HTTP
+
+### Persistent storage
+
+- Add a persistent volume
+- Mount path: `/app/data`
+- Set PG connection: `PG_HOST=postgres`, `PG_PORT=5432`, `PG_DATABASE=arbitrade`, `PG_USER=arbitrade`, `PG_PASSWORD=arbitrade`
+
+### Required environment variables
+
+- `APP_ENV=prod`
+- `APP_HOST=0.0.0.0`
+- `APP_PORT=9090`
+- `PG_DATABASE=arbitrade`
+- `LOG_LEVEL=INFO`
+- `LOG_JSON=true`
+- `KRAKEN_API_KEY=<set-in-coolify-secret>`
+- `KRAKEN_API_SECRET=<set-in-coolify-secret>`
+- `KRAKEN_API_KEY_PERMISSIONS=query,trade`
+- `FERNET_KEY=<set-in-coolify-secret>`
+
+Notes:
+
+- Store secrets in Coolify secret variables, not in Git.
+- Keep Kraken key scope minimal (query + trade, no withdrawal).
+
+## Option A: Build in Coolify from Git Repository
+
+Recommended when you want Coolify to build from source and optionally auto-deploy on commits.
+
+1. Open your Coolify project and select Create New Resource.
+2. Choose deployment source:
+   - Public repo: use `Public repository` and provide HTTPS URL.
+   - Private Gitea repo: use deploy key flow from the Gitea guide.
+
+3. Set repository URL for this project:
+   - `https://git.allucanget.biz/allucanget/arbitrade.git` (public)
+   - or SSH URL if private deploy key is used.
+
+4. Choose build pack:
+   - Prefer `Dockerfile` for this repo, because Docker build behavior is explicitly defined.
+   - Use `Nixpacks` only if you intentionally want auto-detected build logic.
+
+5. Configure branch and base directory:
+   - Branch: your deploy branch (for example `main`)
+   - Base directory: `/`
+
+6. Configure network:
+   - Exposed port: `9090`
+   - Domain: set your Coolify domain/custom domain
+
+7. Configure environment variables and secrets from the Common Runtime Configuration section.
+8. Add persistent storage mount `/app/data`.
+9. Configure health check:
+   - Path: `/health`
+   - Ensure container includes `curl` or `wget` if using UI-defined checks.
+
+10. Click Deploy and verify:
+    - Deployment logs complete successfully.
+    - `GET /health` returns success.
+
+Optional (Git webhook auto-deploy with Gitea):
+
+1. In Coolify resource, open `Webhooks` and copy Manual Git Webhook URL.
+2. Set webhook secret in Coolify.
+3. In Gitea repo settings, add webhook URL + same secret and enable Push events.
+4. Push a commit and confirm Coolify triggers deploy.
+
+## Option B: Deploy Prebuilt Image from Container Registry
+
+Recommended when CI publishes the image and Coolify only runs it.
+
+Image:
+
+- `git.allucanget.biz/allucanget/arbitrade:latest`
+
+1. Ensure CI publishes the image before first deployment.
+2. In Coolify, select Create New Resource.
+3. Choose Application deployment based on Docker Image.
+4. Set image reference:
+   - Registry: `git.allucanget.biz`
+   - Image: `git.allucanget.biz/allucanget/arbitrade:latest`
+
+5. Configure registry credentials in Coolify if your registry requires auth.
+6. Leave build/install/start commands empty unless you need overrides.
+7. Set network and health:
+   - Exposed port: `9090`
+   - Health check path: `/health`
+
+8. Add environment variables and secrets from the Common Runtime Configuration section.
+9. Add persistent storage mount `/app/data`.
+10. Deploy and verify:
+    - Logs show container start success.
+    - `GET /health` returns success.
+
+Update flow for new releases:
+
+- Push code and let CI publish a new `latest` image.
+- Trigger redeploy in Coolify for this resource.
+
+## Quick Troubleshooting
+
+- `No available server` from proxy:
+- Check health check path/port and app bind (`APP_HOST=0.0.0.0`, `APP_PORT=9090`).
+- Verify health check is passing in Coolify.
+- `TemplateNotFound: dashboard.html` at runtime:
+- Ensure the deployed image/wheel includes package templates under `arbitrade/web/templates/*`.
+- If you build from source, do not remove packaged template files under `src/arbitrade/web/templates`.
+- DB resets after deploy:
+- Confirm PostgreSQL is reachable at `PG_HOST`.
+- Registry pull fails:
+- Re-check Docker registry credentials in Coolify.
+- App starts but unavailable externally:
+- Confirm exposed port is `9090` and domain is attached to this resource.

docs/architecture/README.md

@@ -0,0 +1,159 @@
+# Arbitrade Architecture Overview (arc42)
+
+## 1. Introduction and Goals
+
+Arbitrade is a Python 3.12+ cryptocurrency arbitrage bot for Kraken, focused on triangular arbitrage on a single exchange. The system is designed for low-latency detection, configurable risk control, replayable backtesting, and operator-visible dashboard control.
+
+Primary goals:
+
+- Detect and execute triangular opportunities on Kraken with fee/slippage-aware math.
+- Keep hot-path latency low with incremental order-book updates and event-driven scoring.
+- Persist operational data in PostgreSQL for all environments.
+- Provide operator controls, audit trail, and alerting through a server-rendered dashboard.
+- Support backtesting, parameter sweeps, and deferred experimental strategy work behind feature flags.
+
+## 2. Constraints
+
+- Python 3.12+ runtime.
+- Native Kraken WebSocket on the hot path.
+- HTMX + Jinja2 UI, no SPA build step.
+- PostgreSQL everywhere.
+- Self-hosted Gitea Actions CI and Gitea registry.
+- Windows development support.
+- Secrets must stay out of the repository.
+
+## 3. Context and Scope
+
+### 3.1 Business Context
+
+The bot consumes Kraken market data, detects opportunities, and executes trades or paper-trades depending on configuration. Operators monitor and control the system through a dashboard and alerting channels.
+
+### 3.2 Technical Context
+
+- Kraken REST + WebSocket provide market data and execution.
+- FastAPI serves HTML fragments, JSON endpoints, and SSE streams.
+- PostgreSQL stores trades, opportunities, snapshots, audit events, and runtime state.
+- Coolify can deploy the published image using environment variables and persistent storage.
+
+## 4. Solution Strategy
+
+- Use an incremental currency graph to re-score only cycles touched by a changed pair.
+- Use top-of-book plus depth-aware pricing and configurable fee/slippage buffers.
+- Use a single-process asyncio model with uvloop where available.
+- Keep strategy, risk, execution, and backtesting logic reusable across paper and replay modes.
+- Expose configuration through the dashboard and environment variables.
+
+## 5. Building Block View
+
+### 5.1 Runtime Blocks
+
+- `api/` - FastAPI app, routes, dashboard fragments, backtesting endpoints.
+- `exchange/` - Kraken REST and WebSocket integration.
+- `market_data/` - live order-book state and ingestion.
+- `detection/` - triangular graph and incremental detector.
+- `risk/` - pre-trade and trade-limit guards.
+- `execution/` - multi-leg trade sequencing.
+- `backtesting/` - replay engine, parameter sweep, experiment scaffolds. See [backtesting.md](backtesting.md).
+- `strategy/` - experimental strategy modules such as stat-arb.
+- `storage/` - PostgreSQL schema and repositories.
+- `alerting/` - multi-channel notifications.
+- `runtime/` - startup recovery and graceful shutdown.
+
+### 5.2 Important Dependencies
+
+- `fastapi`, `uvicorn`, `jinja2`, `htmx`-driven templates.
+- `orjson` for low-alloc parsing.
+- `sortedcontainers` for book state.
+- `asyncpg` for PostgreSQL persistence.
+- `pydantic` / `pydantic-settings` for typed configuration.
+- `cryptography` / keyring for secret handling.
+
+## 6. Runtime View
+
+### 6.1 Live Trading Flow
+
+1. Kraken WS delivers book updates.
+2. Order book updates in memory.
+3. Incremental detector scores impacted cycles.
+4. Risk manager validates the opportunity.
+5. Execution sequencer places legs if approved.
+6. Trades and snapshots persist to PostgreSQL.
+7. Dashboard and alerts reflect state changes.
+
+### 6.2 Dashboard Control Flow
+
+- `/dashboard/control/*` mutates runtime state.
+- `/dashboard/fragment/*` renders HTMX partials.
+- `/dashboard/stream/*` provides SSE live updates.
+- `/dashboard/backtesting` provides a dedicated replay control page.
+
+### 6.3 Backtesting Flow
+
+See [backtesting.md](backtesting.md) for full design and implementation details.
+
+1. User picks currency pairs (from config/pairings page, or all enabled).
+2. User sets starting balances (required), time range (required), min profit threshold (required).
+3. Fee profile defaults to "api (from Kraken)"; slippage (4.0 bps) and execution latency (20 ms) are optional with sensible defaults.
+4. Job is queued via `POST /dashboard/backtesting/run`.
+5. Backend loads events from `market_snapshots` table, builds triangular cycles, runs replay engine.
+6. Report stored in `backtest_jobs` table, visible in recent jobs list.
+
+## 7. Deployment View
+
+### 7.1 Local Development
+
+- `uv venv` for environment creation.
+- `uv pip install -e .[dev]` for editable install.
+- `docker compose up --build` for local container workflow.
+
+### 7.2 CI/CD
+
+- Gitea Actions runs lint, tests, security checks, latency guards, and image publish.
+- CI publishes `git.allucanget.biz/allucanget/arbitrade:latest`.
+
+### 7.3 Coolify
+
+- Deploy from the published image.
+- Configure runtime via environment variables.
+- Connect to PostgreSQL at configured `PG_HOST`.
+
+## 8. Cross-Cutting Concepts
+
+- Staleness checks prevent stale book execution.
+- Kill switch halts execution immediately.
+- Audit trail records dashboard and runtime decisions.
+- Alerting spans Telegram, Discord, and email.
+- Feature flags gate experimental strategy code.
+- Config is environment-driven and validated at startup.
+
+## 9. Architecture Decisions
+
+- Native Kraken WS instead of a generic exchange abstraction on the hot path.
+- PostgreSQL as the single database engine.
+- HTMX + Jinja2 instead of SPA frontend.
+- Backtesting reuses production detector/risk/execution logic.
+- Experimental stat-arb stays behind a feature flag.
+- Published image is the deployment artifact; Coolify owns runtime env vars.
+
+## 10. Quality Requirements
+
+- Low latency on book-update-to-decision path.
+- Safe startup and restart behavior.
+- Strong operator visibility.
+- Reproducible backtests and sweeps.
+- Secrets protection and strict validation.
+
+## 11. Risks and Technical Debt
+
+- Exchange API schema changes.
+- Spread decay and execution slippage.
+- Cross-venue strategy complexity if/when enabled.
+- UI and backtesting paths can drift if not kept aligned with production logic.
+
+## 12. Glossary
+
+- WS: WebSocket.
+- HTMX: HTML-over-the-wire UI library.
+- SSE: Server-Sent Events.
+- PGSQL: PostgreSQL database used for all environments.
+- Stat arb: Statistical arbitrage, currently experimental and feature-flagged.

docs/architecture/backtesting.md

@@ -0,0 +1,130 @@
+# Backtesting Architecture
+
+> Detailed design and implementation of the backtesting subsystem.
+> See [`README.md`](README.md#63-backtesting-flow) for the high-level user flow.
+
+## Data Flow
+
+```txt
+market_snapshots (DB) ─┐
+                        ├──→ load_replay_events_from_db() ──→ list[ReplayBookEvent]
+JSONL file ─────────────┘
+                                      │
+                                      ▼
+                           BacktestReplayEngine.run()
+                                      │
+                                      ▼
+                              BacktestReport
+                                      │
+                                      ▼
+                           BacktestJobRepository.store_report()
+```
+
+Two event sources:
+
+- **DB mode** (default) — loads snapshots from `market_snapshots` table. Supports symbol/time filtering.
+- **File mode** — reads JSONL files from disk (legacy, used by `backtest_replay.py` script).
+
+## Core Types
+
+### `ReplayClock`
+
+Timekeeper for simulation. Ensures events advance monotonically. Supports `advance_ms()` to model execution latency.
+
+### `ReplayBookEvent`
+
+One atomic book state at a point in time. Fields: `occurred_at`, `symbol`, `bids: tuple[BookLevel]`, `asks: tuple[BookLevel]`.
+
+### `BacktestConfig`
+
+| Field                    | Default  | Description                                           |
+| ------------------------ | -------- | ----------------------------------------------------- |
+| `fee_rate`               | `0.0`    | 0.0 → API-sourced fee from `kraken_account_snapshots` |
+| `min_profit_threshold`   | `0.0005` | Minimum net profit to attempt trade                   |
+| `trade_capital`          | `100.0`  | Capital allocated per trade                           |
+| `quote_asset`            | `"USD"`  | Base currency for P&L                                 |
+| `slippage_bps`           | `4.0`    | Simulated slippage in basis points                    |
+| `execution_latency_ms`   | `20.0`   | Simulated latency per leg                             |
+| `max_depth_levels`       | `10`     | Order book depth for detection                        |
+| `max_concurrent_trades`  | `1`      | Max simultaneous trades                               |
+| `min_order_size_by_pair` | `None`   | Per-pair min order size overrides                     |
+
+### `BacktestReport`
+
+| Field                            | Type           | Description                        |
+| -------------------------------- | -------------- | ---------------------------------- |
+| `started_at` / `finished_at`     | datetime       | Simulation window                  |
+| `processed_events`               | int            | Events consumed                    |
+| `opportunities_seen`             | int            | Detected opportunities             |
+| `trades_executed`                | int            | Successful trades                  |
+| `win_rate`                       | float or None  | Fraction of profitable trades      |
+| `fill_rate`                      | float or None  | Average fill ratio                 |
+| `realized_pnl_usd`               | float          | Net P&L after slippage             |
+| `max_drawdown_usd`               | float          | Peak-to-trough equity drop         |
+| `miss_reasons`                   | dict[str, int] | Counters for skipped opportunities |
+| `execution_latency_p50/95/99_ms` | float or None  | Latency percentiles                |
+
+## Simulation Client
+
+`_SimulatedRestClient` replaces the real Kraken REST client during backtesting.
+
+- **Slippage model:** `fill_ratio = max(0.85, 1.0 - (slippage_bps / 10000.0) * 8.0)`
+- **Latency model:** Clock advances by `execution_latency_ms` before each simulated fill
+- Orders always fill (status = `"closed"`) at the modeled ratio
+
+## Job Worker
+
+`backtest_worker` is an `asyncio.Task` started in `create_app()` lifespan:
+
+```python
+backtest_task = asyncio.create_task(
+    backtest_worker(backtest_queue, db),
+    name="backtest_worker",
+)
+```
+
+Workflow per job:
+
+1. Dequeue `(job_id, config_dict)` from `asyncio.Queue`
+2. Update status → `"running"` in `backtest_jobs` table
+3. Load events (DB or file)
+4. Build currency graph → triangular cycles
+5. Instantiate `BacktestReplayEngine` → `engine.run()`
+6. Store report → update status → `"completed"` (or `"failed"` on exception)
+
+## Sweep Pipeline
+
+`run_parameter_search` performs grid search over backtest parameters:
+
+1. **Split** events into train/test windows by time ratio
+2. **Build grid** — cartesian product of `theta_values × trade_capital_values × pair_universes × staleness_threshold_values`
+3. **For each parameter set:**
+   - Filter events to pair universe + apply staleness gate
+   - Build cycles restricted to pair universe
+   - Run engine on train window → `train_report`
+   - Run engine on test window → `test_report`
+   - Score = `realized_pnl + win_rate_bonus + fill_rate_bonus - max_drawdown`
+   - Compute generalization gap = `|train_score - test_score| / max(train_score, test_score)`
+4. **Evaluate promotion:**
+   - `PromotionCriteria` checks: min test P&L, min win rate ≥ 0.5, min fill rate ≥ 0.9, max drawdown ≤ $25, generalization gap ≤ 0.5
+   - Results passing all criteria are flagged `promotion_ready`
+
+## UI
+
+> See `backtesting.html` → `partials/backtesting_panel.html`.
+
+- **Shell page** loads the panel via `hx-get="/dashboard/fragment/backtesting"`
+- **Run form** — starting balances, time range, profit threshold (required); fee profile, slippage, latency (advanced/collapsible)
+- **Status card** — current job status + message
+- **Recent jobs table** — lists last 20 jobs with status, events, trades, P&L; each row has a detail button
+- **Job detail** — `GET /dashboard/backtesting/job/{id}` returns report HTML
+
+Pairings are managed on the `/dashboard/config/pairings` page. Backtest uses DB-enabled pairings by default when no symbols are specified.
+
+## Source Files
+
+| File                    | Role                                                                                                                                                                          |
+| ----------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `backtesting/replay.py` | `ReplayClock`, `ReplayBookEvent`, `BacktestConfig`, `BacktestReport`, `_SimulatedRestClient`, `BacktestReplayEngine`, `load_replay_events`, `load_replay_events_from_db`      |
+| `backtesting/runner.py` | `run_backtest_job`, `backtest_worker`, `_build_cycles_from_events`, `_parse_balances`                                                                                         |
+| `backtesting/sweep.py`  | `SweepParameters`, `SweepResult`, `SweepArtifacts`, `PromotionCriteria`, `split_events_time_windows`, `build_parameter_grid`, `run_parameter_search`, `persist_sweep_results` |

docs/architecture/current-implementation.md

@@ -0,0 +1,61 @@
+# Current Implementation Snapshot
+
+This document summarizes the code that exists now, not the original plan.
+
+## Runtime
+
+- FastAPI app starts from [src/arbitrade/api/app.py](../../src/arbitrade/api/app.py).
+- Settings come from `pydantic-settings` in [src/arbitrade/config/settings.py](../../src/arbitrade/config/settings.py).
+- DuckDB is initialized and migrated on startup.
+- Runtime recovery persists and restores control state and snapshots.
+
+## Configuration Management
+
+- Complete configuration management system implemented with database-backed user settings.
+- Configuration service in [src/arbitrade/config/service.py](../../src/arbitrade/config/service.py) handles loading and applying settings.
+- Repository classes in [src/arbitrade/storage/repositories.py](../../src/arbitrade/storage/repositories.py) provide database access.
+- Web UI for configuration at `/dashboard/config/` with CRUD operations for:
+  - Currency pairings
+  - Fee configurations
+  - Application settings
+  - Backtesting parameters
+- Hot-reloading capabilities for runtime configuration changes.
+- Input validation and error handling for all configuration forms.
+- Audit logging for all configuration modifications.
+
+## Market Data and Detection
+
+- Kraken market data is handled by native WS and thin REST code.
+- Incremental triangular detector is implemented in [src/arbitrade/detection/engine.py](../../src/arbitrade/detection/engine.py).
+- Currency graph and cycle indexing live in [src/arbitrade/detection/graph.py](../../src/arbitrade/detection/graph.py).
+
+## Execution and Risk
+
+- Multi-leg execution sequencer exists for triangular cycles.
+- Pre-trade validation and trade-limit guards are wired into execution flow.
+- Kill switch and stop conditions are supported.
+
+## Dashboard
+
+- Server-rendered dashboard uses FastAPI + Jinja2 + HTMX.
+- Live metrics, overview, controls, charts, and audit fragments are exposed as separate endpoints.
+- Dedicated backtesting page exists at `/dashboard/backtesting`.
+
+## Backtesting
+
+- Replay engine lives in [src/arbitrade/backtesting/replay.py](../../src/arbitrade/backtesting/replay.py).
+- Parameter sweep runner lives in [src/arbitrade/backtesting/sweep.py](../../src/arbitrade/backtesting/sweep.py).
+- Backtesting UI runs replay from a JSONL file, stores recent reports in app state, and exposes a recent-reports API.
+- Experimental stat-arb scaffold lives in [src/arbitrade/strategy/stat_arb.py](../../src/arbitrade/strategy/stat_arb.py) and is gated by feature flag.
+
+## Deployment
+
+- Dockerfile installs runtime dependencies from `requirements/latest-runtime.in`.
+- CI publishes `git.allucanget.biz/allucanget/arbitrade:latest`.
+- Coolify deploys the prebuilt image and owns runtime env vars and persistent storage.
+
+## Current Gaps
+
+- Cross-exchange arbitrage remains deferred.
+- Stat-arb is experimental, not part of default live strategy.
+- Backtesting UI is functional but still a single-run/report workflow, not a full job queue.

docs/architecture/repositories.md

@@ -0,0 +1,88 @@
+# Database Layer: Schema & Repositories
+
+> **Database engine**: PostgreSQL 15+ on `192.168.88.35`
+> **Driver**: `asyncpg` (async connection pool)
+> **Store class**: `PgStore` in `src/arbitrade/storage/pg_store.py`
+
+## Connection Lifecycle
+
+```txt
+FastAPI lifespan (create_app)
+  └─ PgStore.start()         # creates asyncpg connection pool
+      └─ PgStore.migrate()   # reads schema_pg.sql, creates tables
+          └─ ... application runs ...
+  └─ PgStore.stop()          # closes the pool
+```
+
+All repository classes accept a `PgStore` instance and acquire connections
+via `async with self._store.pool.acquire() as conn:`.
+
+## Schema
+
+Defined in `src/arbitrade/storage/schema_pg.sql`. 15 tables:
+
+| Table                         | Purpose                    | PK              | Notes                                    |
+| ----------------------------- | -------------------------- | --------------- | ---------------------------------------- |
+| `schema_migrations`           | Version tracking           | `version`       | Single-row per version                   |
+| `config_sections`             | Config section metadata    | `id` (SERIAL)   | `name` UNIQUE                            |
+| `config_settings`             | Key-value config store     | `key` (VARCHAR) | JSON-serialized values                   |
+| `config_pairings`             | Currency pairs to monitor  | `id` (SERIAL)   | `(base_asset, quote_asset)` UNIQUE       |
+| `config_backtesting_defaults` | Default backtest params    | `id` (SERIAL)   | Singleton via `ORDER BY id DESC LIMIT 1` |
+| `opportunities`               | Detected arb opportunities | `id` (UUID)     |                                          |
+| `trades`                      | Executed trades            | `id` (UUID)     |                                          |
+| `orders`                      | Individual leg orders      | `id` (UUID)     |                                          |
+| `pnl_events`                  | P&L event stream           | `id` (UUID)     |                                          |
+| `portfolio_snapshots`         | Balance snapshots          | —               | Append-only                              |
+| `market_snapshots`            | Raw order-book snapshots   | —               | Append-only                              |
+| `audit_events`                | Audit trail                | `id` (UUID)     |                                          |
+| `runtime_state_snapshots`     | Runtime state history      | —               | Append-only                              |
+| `kraken_account_snapshots`    | Fee tier + account data    | —               | Append-only                              |
+| `backtest_jobs`               | Backtest job records       | `id` (UUID)     |                                          |
+
+JSON columns use `JSONB` for indexability. UUID primary keys use
+`gen_random_uuid()` (requires `pgcrypto` extension).
+
+## Repository Classes
+
+All in `src/arbitrade/storage/repositories.py`. Every method is `async def`.
+
+| Class                                 | Key Methods                                                | Used By                     |
+| ------------------------------------- | ---------------------------------------------------------- | --------------------------- |
+| `MarketSnapshotRepository`            | `insert()`                                                 | `AsyncMarketSnapshotWriter` |
+| `OpportunityRepository`               | `insert()`                                                 | `AsyncOpportunityWriter`    |
+| `TradeRepository`                     | `insert()`                                                 | `AsyncExecutionWriter`      |
+| `OrderRepository`                     | `insert()`                                                 | `AsyncExecutionWriter`      |
+| `PnLRepository`                       | `insert()`                                                 | `AsyncExecutionWriter`      |
+| `AuditRepository`                     | `insert()`, `list_recent()`                                | API routes, lifecycle       |
+| `RuntimeStateRepository`              | `insert()`, `latest()`                                     | Lifecycle, API              |
+| `ConfigSectionRepository`             | `create_section()`, `get_section()`, `list_sections()`     | Config service              |
+| `ConfigSettingRepository`             | Full CRUD + `get_latest_updated_at()`                      | Config service              |
+| `ConfigPairingRepository`             | Full CRUD + `upsert_pairing()`, `list_pairings()`          | Feeds, pairing sync         |
+| `ConfigBacktestingDefaultsRepository` | `create_defaults()`, `get_defaults()`, `update_defaults()` | Config service              |
+| `KrakenAccountSnapshotRepository`     | `insert_snapshot()`, `latest_snapshot()`                   | Fee sync loop               |
+| `BacktestJobRepository`               | Full CRUD                                                  | Backtesting UI + worker     |
+
+## Async Writers
+
+Three background writer tasks buffer high-frequency writes:
+
+- **`AsyncExecutionWriter`** — trades/orders/P&L queue
+- **`AsyncMarketSnapshotWriter`** — order-book snapshot queue
+- **`AsyncOpportunityWriter`** — opportunity event queue
+
+Each uses an `asyncio.Queue` and drains it in a background task with
+`await repo.insert(...)`.
+
+## Integration Tests
+
+`tests/integration/test_postgresql_schema.py` verifies:
+
+- Connection to PostgreSQL server
+- `pgcrypto` extension availability
+- All 15 tables exist after migration
+- Migration is idempotent
+- Correct columns per table
+- Primary keys and unique constraints
+- Tables start empty
+- Simple INSERT/SELECT round-trip
+- `ON CONFLICT ... DO UPDATE` on config_pairings

ops/performance/README.md

@@ -39,7 +39,7 @@ Key end-to-end latency baselines from `latency_baseline.json`:
 
 ## Optimization Note
 
-`MetricsCalculator.compute()` was optimized to use DuckDB SQL aggregations and quantiles, reducing Python-side row scans.
+`MetricsCalculator.compute()` uses PostgreSQL SQL aggregations and percentiles, reducing Python-side row scans.
 
 Measured benchmark (`scripts/benchmark_metrics_compute.py`):
 

pyproject.toml

@@ -1,6 +1,6 @@
 [build-system]
-requires = ["hatchling>=1.25.0"]
+requires = ["setuptools>=69.0.0", "wheel>=0.43.0"]
-build-backend = "hatchling.build"
+build-backend = "setuptools.build_meta"
 
 [project]
 name = "arbitrade"
@@ -8,42 +8,33 @@ version = "0.1.0"
 description = "Low-latency Kraken arbitrage bot"
 readme = "README.md"
 requires-python = ">=3.12"
-dependencies = [
+dynamic = ["dependencies", "optional-dependencies"]
-  "cryptography>=43.0.0",
-  "duckdb>=1.1.0",
-  "fastapi>=0.115.0",
-  "httptools>=0.6.1",
-  "httpx>=0.28.0",
-  "jinja2>=3.1.0",
-  "keyring>=25.0.0",
-  "orjson>=3.10.0",
-  "pydantic>=2.9.0",
-  "pydantic-settings>=2.5.0",
-  "structlog>=24.4.0",
-  "sortedcontainers>=2.4.0",
-  "uvicorn[standard]>=0.31.0",
-  "uvloop>=0.20.0; platform_system != 'Windows'",
-  "websockets>=13.0",
-]
 
-[project.optional-dependencies]
+[tool.setuptools.dynamic]
-dev = [
+dependencies = {file = ["requirements/latest-runtime.in"]}
-  "black>=24.8.0",
+
-  "mypy>=1.11.0",
+[tool.setuptools.dynamic.optional-dependencies]
-  "pre-commit>=3.8.0",
+dev = {file = ["requirements/latest-dev.in"]}
-  "pytest>=8.3.0",
-  "pytest-asyncio>=0.24.0",
-  "respx>=0.21.1",
-  "ruff>=0.6.0",
-  "vcrpy>=6.0.0",
-]
 
 [project.scripts]
 arbitrade = "arbitrade.main:main"
 arbitrade-bench-detection = "arbitrade.detection.benchmark:main"
 
-[tool.hatch.build.targets.wheel]
+[tool.setuptools]
-packages = ["src/arbitrade"]
+package-dir = {"" = "src"}
+include-package-data = true
+
+[tool.setuptools.package-data]
+arbitrade = [
+	"web/templates/*.html",
+	"web/templates/config/*.html",
+	"web/templates/dashboard/*.html",
+	"web/templates/partials/*.html",
+	"storage/schema_pg.sql",
+]
+
+[tool.setuptools.packages.find]
+where = ["src"]
 
 [tool.black]
 line-length = 100
@@ -55,7 +46,7 @@ target-version = "py312"
 
 [tool.ruff.lint]
 select = ["E", "F", "I", "UP", "B", "N", "ASYNC"]
-ignore = ["E203"]
+ignore = ["E203", "E501"]
 
 [tool.mypy]
 python_version = "3.12"
@@ -66,7 +57,7 @@ pretty = true
 mypy_path = "src"
 
 [[tool.mypy.overrides]]
-module = ["duckdb", "keyring", "sortedcontainers"]
+module = ["asyncpg", "keyring", "sortedcontainers"]
 ignore_missing_imports = true
 
 [tool.pytest.ini_options]

requirements/latest-dev.in

@@ -0,0 +1,10 @@
+# Unpinned dev dependencies (latest available)
+asyncpg-stubs
+black
+mypy
+pre-commit
+pytest
+pytest-asyncio
+respx
+ruff
+vcrpy

requirements/latest-runtime.in

@@ -0,0 +1,16 @@
+# Unpinned runtime dependencies (latest available)
+asyncpg
+cryptography
+fastapi
+httptools
+httpx
+jinja2
+keyring
+orjson
+pydantic
+pydantic-settings
+sortedcontainers
+structlog
+uvicorn[standard]
+uvloop ; platform_system != "Windows"
+websockets

scripts/backtest_replay.py

@@ -6,10 +6,31 @@ from collections.abc import Mapping
 from datetime import UTC, datetime
 from pathlib import Path
 
+import duckdb
+
 from arbitrade.backtesting.replay import BacktestConfig, BacktestReplayEngine, load_replay_events
 from arbitrade.detection.graph import CurrencyGraph, TriangularCycle
 
 
+def _resolve_fee_rate(fee_rate: float | None, db_path: str | None = None) -> float:
+    """Resolve fee rate from arg or DB snapshot. Falls back to 0.0026."""
+    if fee_rate is not None:
+        return fee_rate
+    if db_path is not None:
+        try:
+            conn = duckdb.connect(db_path)
+            row = conn.execute("""
+                SELECT maker_fee FROM kraken_account_snapshots
+                ORDER BY snapshot_at DESC LIMIT 1
+            """).fetchone()
+            conn.close()
+            if row is not None and row[0] is not None:
+                return float(row[0])
+        except Exception:
+            pass
+    return 0.0026  # ultimate fallback
+
+
 def _build_graph() -> tuple[dict[str, list[TriangularCycle]], list[str]]:
     graph = CurrencyGraph()
     graph.add_pair("USD", "BTC", "BTC/USD")
@@ -30,20 +51,20 @@ def _parse_balances(raw: str) -> Mapping[str, float]:
 
 
 def main() -> int:
-    parser = argparse.ArgumentParser(
+    parser = argparse.ArgumentParser(description="Run backtest.")
-        description="Run a deterministic replay backtest.")
     parser.add_argument("--events", type=Path, required=True)
     parser.add_argument("--starting-balances", type=str, default="USD=1000.0")
     parser.add_argument("--trade-capital", type=float, default=100.0)
-    parser.add_argument("--fee-rate", type=float, default=0.0026)
+    parser.add_argument("--fee-rate", type=float, default=None)
     parser.add_argument("--slippage-bps", type=float, default=4.0)
     parser.add_argument("--execution-latency-ms", type=float, default=20.0)
     args = parser.parse_args()
 
     cycles_by_pair, available_pairs = _build_graph()
     events = load_replay_events(args.events)
+    fee_rate = _resolve_fee_rate(args.fee_rate, args.db_path)
     config = BacktestConfig(
-        fee_rate=args.fee_rate,
+        fee_rate=fee_rate,
         trade_capital=args.trade_capital,
         slippage_bps=args.slippage_bps,
         execution_latency_ms=args.execution_latency_ms,
@@ -55,27 +76,23 @@ def main() -> int:
         config=config,
         started_at=events[0].occurred_at if events else datetime.now(UTC),
     )
-    report = asyncio.run(
+    starting_balances = _parse_balances(args.starting_balances)
-        engine.run(events, starting_balances=_parse_balances(
+    r = asyncio.run(engine.run(events, starting_balances=starting_balances))
-            args.starting_balances))
-    )
 
     print("Backtest report:")
-    print(f"- processed_events: {report.processed_events}")
+    print(f"- processed_events: {r.processed_events}")
-    print(f"- opportunities_seen: {report.opportunities_seen}")
+    print(f"- opportunities_seen: {r.opportunities_seen}")
-    print(f"- trades_executed: {report.trades_executed}")
+    print(f"- trades_executed: {r.trades_executed}")
-    print(
+    print(f"- win_rate: {r.win_rate if r.win_rate is not None else 'n/a'}")
-        f"- win_rate: {report.win_rate if report.win_rate is not None else 'n/a'}")
+    print(f"- fill_rate: {r.fill_rate if r.fill_rate is not None else 'n/a'}")
-    print(
+    print(f"- realized_pnl_usd: {r.realized_pnl_usd:.4f}")
-        f"- fill_rate: {report.fill_rate if report.fill_rate is not None else 'n/a'}")
+    print(f"- max_drawdown_usd: {r.max_drawdown_usd:.4f}")
-    print(f"- realized_pnl_usd: {report.realized_pnl_usd:.4f}")
+    print(f"- miss_reasons: {dict(r.miss_reasons)}")
-    print(f"- max_drawdown_usd: {report.max_drawdown_usd:.4f}")
-    print(f"- miss_reasons: {dict(report.miss_reasons)}")
     print(
         "- execution_latency_ms: "
-        f"p50={report.execution_latency_p50_ms or 0.0:.4f}, "
+        f"p50={r.execution_latency_p50_ms or 0.0:.4f}, "
-        f"p95={report.execution_latency_p95_ms or 0.0:.4f}, "
+        f"p95={r.execution_latency_p95_ms or 0.0:.4f}, "
-        f"p99={report.execution_latency_p99_ms or 0.0:.4f}"
+        f"p99={r.execution_latency_p99_ms or 0.0:.4f}"
     )
     return 0
 

scripts/backtest_sweep.py

@@ -0,0 +1,146 @@
+from __future__ import annotations
+
+import argparse
+from collections.abc import Mapping, Sequence
+from pathlib import Path
+
+from arbitrade.backtesting import load_replay_events
+from arbitrade.backtesting.sweep import (
+    PromotionCriteria,
+    SweepResult,
+    build_parameter_grid,
+    persist_sweep_results,
+    run_parameter_search,
+)
+from arbitrade.detection.graph import CurrencyGraph, TriangularCycle
+
+
+def _parse_balances(raw: str) -> Mapping[str, float]:
+    balances: dict[str, float] = {}
+    for entry in raw.split(","):
+        stripped = entry.strip()
+        if not stripped:
+            continue
+        asset, value = stripped.split("=", 1)
+        balances[asset.strip().upper()] = float(value)
+    return balances
+
+
+def _parse_float_list(raw: str) -> list[float]:
+    values = [item.strip() for item in raw.split(",") if item.strip()]
+    if not values:
+        raise ValueError("expected at least one numeric value")
+    return [float(value) for value in values]
+
+
+def _parse_pair_universes(raw: str) -> list[tuple[str, ...]]:
+    universes: list[tuple[str, ...]] = []
+    for chunk in raw.split(";"):
+        symbols = tuple(item.strip().upper() for item in chunk.split("|") if item.strip())
+        if symbols:
+            universes.append(symbols)
+    if not universes:
+        raise ValueError("at least one pair universe must be provided")
+    return universes
+
+
+def _build_graph_from_symbols(symbols: Sequence[str]) -> dict[str, list[TriangularCycle]]:
+    graph = CurrencyGraph()
+    for symbol in symbols:
+        normalized = symbol.upper()
+        if "/" not in normalized:
+            continue
+        base, quote = normalized.split("/", 1)
+        graph.add_pair(base, quote, normalized)
+
+    cycles = graph.triangular_cycles()
+    return graph.index_cycles_by_pair(cycles)
+
+
+def _print_top_results(results: Sequence[SweepResult], *, limit: int = 5) -> None:
+    print(f"Top {min(limit, len(results))} result(s) by out-of-sample score:")
+    for index, result in enumerate(results[:limit], start=1):
+        print(
+            "- "
+            f"#{index} "
+            f"theta={result.parameters.min_profit_threshold:.6f}, "
+            f"capital={result.parameters.trade_capital:.2f}, "
+            f"pairs={','.join(result.parameters.pair_universe)}, "
+            f"staleness={result.parameters.staleness_threshold_seconds:.2f}s, "
+            f"test_score={result.test_score:.4f}, "
+            f"promotion_ready={result.promotion_ready}"
+        )
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(
+        description="Run backtesting parameter sweep with train/test split."
+    )
+    parser.add_argument("--events", type=Path, required=True)
+    parser.add_argument("--starting-balances", type=str, default="USD=1000.0")
+    parser.add_argument("--theta-values", type=str, default="0.0003,0.0005,0.0008")
+    parser.add_argument("--trade-capital-values", type=str, default="50,100,150")
+    parser.add_argument(
+        "--pair-universes",
+        type=str,
+        default="BTC/USD|ETH/BTC|ETH/USD",
+        help="Semicolon-separated universes, each with | delimited pairs",
+    )
+    parser.add_argument("--staleness-threshold-values", type=str, default="3,5,8")
+    parser.add_argument("--train-ratio", type=float, default=0.7)
+    parser.add_argument(
+        "--output", type=Path, default=Path("ops/backtesting/parameter_sweep_results.json")
+    )
+
+    parser.add_argument("--min-test-realized-pnl-usd", type=float, default=0.0)
+    parser.add_argument("--min-test-win-rate", type=float, default=0.5)
+    parser.add_argument("--min-test-fill-rate", type=float, default=0.9)
+    parser.add_argument("--max-test-drawdown-usd", type=float, default=25.0)
+    parser.add_argument("--max-generalization-gap-ratio", type=float, default=0.5)
+
+    args = parser.parse_args()
+
+    events = load_replay_events(args.events)
+    symbols = sorted({event.symbol.upper() for event in events})
+    cycles_by_pair = _build_graph_from_symbols(symbols)
+    if not cycles_by_pair:
+        raise SystemExit("No triangular cycles found in supplied replay events")
+
+    grid = build_parameter_grid(
+        theta_values=_parse_float_list(args.theta_values),
+        trade_capital_values=_parse_float_list(args.trade_capital_values),
+        pair_universes=_parse_pair_universes(args.pair_universes),
+        staleness_threshold_values=_parse_float_list(args.staleness_threshold_values),
+    )
+
+    artifacts = run_parameter_search(
+        events=events,
+        cycles_by_pair=cycles_by_pair,
+        parameter_grid=grid,
+        starting_balances=_parse_balances(args.starting_balances),
+        train_ratio=args.train_ratio,
+        promotion_criteria=PromotionCriteria(
+            min_test_realized_pnl_usd=args.min_test_realized_pnl_usd,
+            min_test_win_rate=args.min_test_win_rate,
+            min_test_fill_rate=args.min_test_fill_rate,
+            max_test_drawdown_usd=args.max_test_drawdown_usd,
+            max_generalization_gap_ratio=args.max_generalization_gap_ratio,
+        ),
+    )
+
+    persist_sweep_results(args.output, artifacts)
+
+    print(f"Completed sweep combinations: {len(artifacts.results)}")
+    print(f"Promotion-ready combinations: {len(artifacts.promoted)}")
+    print(f"Results written: {args.output}")
+
+    _print_top_results(artifacts.results)
+    if artifacts.promoted:
+        print("Promotion candidates (paper-trading canary):")
+        _print_top_results(artifacts.promoted)
+
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

scripts/benchmark_metrics_compute.py

@@ -8,17 +8,19 @@ from time import perf_counter
 
 from arbitrade.config.settings import Settings
 from arbitrade.metrics import MetricsCalculator
-from arbitrade.storage.db import DuckDBStore
+from arbitrade.storage.pg_store import PgStore
 
 
-def _python_scan_compute(store: DuckDBStore) -> tuple[float, float | None, float | None]:
+async def _python_scan_compute(store: PgStore) -> tuple[float, float | None, float | None]:
-    with store.connect() as conn:
+    sql_s = """
-        trade_rows = conn.execute("""
+        SELECT started_at, finished_at, realized_pnl
-            SELECT started_at, finished_at, realized_pnl
+        FROM trades
-            FROM trades
+        WHERE finished_at IS NOT NULL
-            WHERE finished_at IS NOT NULL
+    """
-            """).fetchall()
+    sql_d = "SELECT detected_at FROM opportunities"
-        opportunity_rows = conn.execute("SELECT detected_at FROM opportunities").fetchall()
+    async with store.pool.acquire() as conn:
+        trade_rows = await conn.fetch(sql_s)
+        orows = await conn.fetch(sql_d)
 
     realized = sum(float(row[2]) for row in trade_rows if row[2] is not None)
     durations = [
@@ -28,10 +30,10 @@ def _python_scan_compute(store: DuckDBStore) -> tuple[float, float | None, float
     ]
     avg_duration = fmean(durations) if durations else None
 
-    times = [row[0] for row in opportunity_rows if isinstance(row[0], datetime)]
+    times = [row[0] for row in orows if isinstance(row[0], datetime)]
     if len(times) >= 2:
-        span_seconds = (max(times) - min(times)).total_seconds()
+        ss = (max(times) - min(times)).total_seconds()
-        opm = len(times) / (span_seconds / 60.0) if span_seconds > 0.0 else float(len(times))
+        opm = len(times) / (ss / 60.0) if ss > 0.0 else float(len(times))
     elif len(times) == 1:
         opm = 60.0
     else:
@@ -40,7 +42,7 @@ def _python_scan_compute(store: DuckDBStore) -> tuple[float, float | None, float
     return realized, avg_duration, opm
 
 
-def _seed_dataset(store: DuckDBStore) -> None:
+async def _seed_dataset(store: PgStore) -> None:
     now = datetime.now(UTC)
 
     trade_rows: list[tuple[object, ...]] = []
@@ -86,11 +88,11 @@ def _seed_dataset(store: DuckDBStore) -> None:
             )
         )
 
-    with store.connect() as conn:
+    async with store.pool.acquire() as conn:
-        conn.execute("DELETE FROM trades")
+        await conn.execute("DELETE FROM trades")
-        conn.execute("DELETE FROM opportunities")
+        await conn.execute("DELETE FROM opportunities")
-        conn.execute("DELETE FROM orders")
+        await conn.execute("DELETE FROM orders")
-        conn.executemany(
+        await conn.executemany(
             """
             INSERT INTO trades (
                 trade_ref,
@@ -106,7 +108,7 @@ def _seed_dataset(store: DuckDBStore) -> None:
             """,
             trade_rows,
         )
-        conn.executemany(
+        await conn.executemany(
             """
             INSERT INTO opportunities (
                 detected_at,
@@ -119,7 +121,7 @@ def _seed_dataset(store: DuckDBStore) -> None:
             """,
             opportunity_rows,
         )
-        conn.executemany(
+        await conn.executemany(
             """
             INSERT INTO orders (
                 trade_ref,
@@ -140,28 +142,28 @@ def _seed_dataset(store: DuckDBStore) -> None:
         )
 
 
-def main() -> int:
+async def main() -> int:
     db_path = Path(gettempdir()) / "arbitrade_metrics_bench.duckdb"
     settings = Settings(_env_file=None, DUCKDB_PATH=db_path)
-    store = DuckDBStore(settings)
+    store = PgStore(settings)
     store.migrate()
-    _seed_dataset(store)
+    await _seed_dataset(store)
 
     calculator = MetricsCalculator(store)
 
     for _ in range(3):
-        _python_scan_compute(store)
+        await _python_scan_compute(store)
-        calculator.compute()
+        await calculator.compute()
 
     runs = 20
     start = perf_counter()
     for _ in range(runs):
-        _python_scan_compute(store)
+        await _python_scan_compute(store)
     python_ms = (perf_counter() - start) * 1000.0 / runs
 
     start = perf_counter()
     for _ in range(runs):
-        calculator.compute()
+        await calculator.compute()
     sql_ms = (perf_counter() - start) * 1000.0 / runs
 
     speedup = (python_ms / sql_ms) if sql_ms > 0.0 else 0.0

scripts/security_scan.py

@@ -63,16 +63,13 @@ def scan_worktree() -> list[str]:
 
         for rule_name, pattern in PATTERNS:
             if pattern.search(content):
-                findings.append(
+                findings.append(f"worktree:{path.relative_to(WORKSPACE)}:{rule_name}")
-                    f"worktree:{path.relative_to(WORKSPACE)}:{rule_name}")
     return findings
 
 
 def scan_git_history() -> list[str]:
-    cmd = ["git", "-C", str(WORKSPACE), "log", "--all",
+    cmd = ["git", "-C", str(WORKSPACE), "log", "--all", "-p", "--pretty=format:%H"]
-           "-p", "--pretty=format:%H"]
+    completed = subprocess.run(cmd, check=False, capture_output=True, text=True)
-    completed = subprocess.run(
-        cmd, check=False, capture_output=True, text=True)
     if completed.returncode != 0:
         return ["history_scan_failed"]
 

src/arbitrade/api/app.py

@@ -1,40 +1,200 @@
 from __future__ import annotations
 
+import asyncio
 from collections.abc import AsyncIterator
 from contextlib import asynccontextmanager
 
+import structlog
 from fastapi import FastAPI
 
 from arbitrade.alerting.notifier import build_notifier_from_settings
 from arbitrade.api.control_state import DashboardControlState
 from arbitrade.api.routes import public_router, router
+from arbitrade.backtesting.runner import backtest_worker
+from arbitrade.config.pairing_sync import run_pairing_sync_loop
+from arbitrade.config.service import ConfigurationService
 from arbitrade.config.settings import Settings
+from arbitrade.exchange.fee_service import run_fee_sync_loop
+from arbitrade.exchange.kraken_rest import KrakenRestClient
+from arbitrade.exchange.kraken_ws import KrakenWsClient
+from arbitrade.logging.db_sink import get_db_sink
+from arbitrade.logging.maintenance import run_log_aggregation_loop, run_log_archive_loop
 from arbitrade.logging_setup import configure_logging
+from arbitrade.market_data.feed import MarketDataFeed
+from arbitrade.market_data.feed_builder import (
+    build_detector_from_enabled_pairings,
+    get_enabled_pair_symbols,
+)
 from arbitrade.metrics import MetricsCalculator
 from arbitrade.runtime.lifecycle import graceful_shutdown, restore_runtime_state
-from arbitrade.storage.db import DuckDBStore
+from arbitrade.storage.market_snapshots import AsyncMarketSnapshotWriter
-from arbitrade.storage.repositories import AuditRepository, RuntimeStateRepository
+from arbitrade.storage.opportunities import AsyncOpportunityWriter
+from arbitrade.storage.pg_store import PgStore
+from arbitrade.storage.repositories import (
+    AuditRepository,
+    MarketSnapshotRepository,
+    OpportunityRepository,
+    RuntimeStateRepository,
+)
+
+_LOG = structlog.get_logger(__name__)
+
+
+async def _start_feed(app: FastAPI, *, kill_switch_only: bool = False) -> asyncio.Task[None] | None:
+    """Create and start a MarketDataFeed task from enabled pairings.
+
+    If kill_switch_only=True, only create a kill-switch-bound stub (no detector/feed).
+    Returns the task or None if no enabled pairings.
+    """
+    settings = app.state.settings
+    db = app.state.store
+    alert_notifier = getattr(app.state, "alert_notifier", None)
+    controls = app.state.dashboard_controls
+
+    # Build detector from enabled pairings
+    detector = await build_detector_from_enabled_pairings(
+        db,
+        fee_rate=0.0,  # will be overridden by fee sync
+        max_depth_levels=controls.strategy_max_depth_levels,
+        min_profit_threshold=controls.strategy_profit_threshold,
+    )
+
+    symbols = await get_enabled_pair_symbols(db)
+    if not symbols and not kill_switch_only:
+        _LOG.warning("no_enabled_pair_symbols_feed_not_started")
+        return None
+
+    ws_client: KrakenWsClient | None = getattr(app.state, "ws_client", None)
+    if ws_client is None:
+        ws_client = KrakenWsClient(settings, alert_notifier=alert_notifier)
+        app.state.ws_client = ws_client
+
+    ws_client.set_subscribed_symbols(symbols)
+
+    snapshot_writer = AsyncMarketSnapshotWriter(MarketSnapshotRepository(db))
+    opportunity_writer = AsyncOpportunityWriter(OpportunityRepository(db))
+
+    feed = MarketDataFeed(
+        ws_client=ws_client,
+        snapshot_writer=snapshot_writer,
+        detector=detector,
+        opportunity_writer=opportunity_writer,
+        paper_trading_mode=settings.paper_trading_mode,
+        trade_capital=settings.trade_capital_usd,
+        max_trade_capital=settings.max_trade_capital_usd,
+        kill_switch=controls.kill_switch,
+        alert_notifier=alert_notifier,
+        audit_repository=getattr(app.state, "audit_repository", None),
+    )
+
+    app.state.feed = feed
+    task = asyncio.create_task(feed.run(), name="market_data_feed")
+    app.state.feed_task = task
+    _LOG.info("market_data_feed_started", symbols=symbols)
+    return task
 
 
 def create_app(settings: Settings) -> FastAPI:
     configure_logging(settings.log_level, settings.log_json)
 
-    db = DuckDBStore(settings)
+    db = PgStore(settings)
-    db.migrate()
+
+    kraken_client = KrakenRestClient(settings)
+    fee_sync_stop_event = asyncio.Event()
+    pairing_sync_stop_event = asyncio.Event()
+    backtest_queue: asyncio.Queue[tuple[str, str, dict[str, object] | None] | None] = (
+        asyncio.Queue()
+    )
 
     @asynccontextmanager
     async def lifespan(app: FastAPI) -> AsyncIterator[None]:
+        await app.state.store.start()
+        await app.state.store.migrate()
+        get_db_sink().start_consumer(db)
+        await app.state.configuration_service.load_database_settings()
         await restore_runtime_state(app)
+        fee_sync_task = asyncio.create_task(
+            run_fee_sync_loop(
+                kraken_client,
+                db,
+                fee_sync_stop_event,
+            ),
+            name="fee_sync_loop",
+        )
+        pairing_sync_task = asyncio.create_task(
+            run_pairing_sync_loop(
+                kraken_client,
+                db,
+                pairing_sync_stop_event,
+            ),
+            name="pairing_sync_loop",
+        )
+        backtest_task = asyncio.create_task(
+            backtest_worker(backtest_queue, db),  # type: ignore
+            name="backtest_worker",
+        )
+        # Start market data feed from enabled pairings
+        await _start_feed(app)
+        app.state.fee_sync_task = fee_sync_task
+        app.state.pairing_sync_task = pairing_sync_task
+        app.state.backtest_task = backtest_task
+        app.state.log_aggregation_task = asyncio.create_task(
+            run_log_aggregation_loop(db), name="log_aggregation"
+        )
+        app.state.log_archive_task = asyncio.create_task(
+            run_log_archive_loop(db), name="log_archive"
+        )
         yield
+        fee_sync_stop_event.set()
+        pairing_sync_stop_event.set()
+        # Stop feed
+        feed = getattr(app.state, "feed", None)
+        if feed is not None:
+            ws_client = getattr(app.state, "ws_client", None)
+            if ws_client is not None:
+                await ws_client.stop()
+        ft = getattr(app.state, "feed_task", None)
+        if ft is not None:
+            ft.cancel()
+            try:
+                await ft
+            except asyncio.CancelledError:
+                pass
+        fee_sync_task.cancel()
+        try:
+            await fee_sync_task
+        except asyncio.CancelledError:
+            pass
+        pairing_sync_task.cancel()
+        try:
+            await pairing_sync_task
+        except asyncio.CancelledError:
+            pass
+        await backtest_queue.put(None)  # poison pill
+        backtest_task.cancel()
+        try:
+            await backtest_task
+        except asyncio.CancelledError:
+            pass
+        await kraken_client.close()
         await graceful_shutdown(app)
+        await app.state.store.stop()
+        await get_db_sink().stop_consumer()
 
     app = FastAPI(title="arbitrade", version="0.1.0", lifespan=lifespan)
     app.state.settings = settings
     app.state.store = db
+    app.state.kraken_client = kraken_client
+    app.state.fee_sync_stop_event = fee_sync_stop_event
+    app.state.pairing_sync_stop_event = pairing_sync_stop_event
+    app.state.backtest_queue = backtest_queue
     app.state.metrics = MetricsCalculator(db)
     app.state.audit_repository = AuditRepository(db)
     app.state.runtime_state_repository = RuntimeStateRepository(db)
     app.state.alert_notifier = build_notifier_from_settings(settings)
+    svc = ConfigurationService(settings, db, app.state.audit_repository)
+    app.state.configuration_service = svc
+    app.state.backtest_recent_reports = []
     app.state.dashboard_controls = DashboardControlState(
         is_running=not settings.kill_switch_active,
     )

src/arbitrade/api/control_state.py

@@ -10,6 +10,10 @@ from arbitrade.risk.kill_switch import KillSwitch
 class DashboardControlState:
     is_running: bool = True
     kill_switch: KillSwitch = field(default_factory=KillSwitch)
+    tradable_pairs: list[str] = field(default_factory=list)
+    strategy_mode: str = "incremental"
+    strategy_profit_threshold: float = 0.0005
+    strategy_max_depth_levels: int = 10
     updated_at: datetime = field(default_factory=lambda: datetime.now(UTC))
 
     def mark_updated(self) -> None:

src/arbitrade/api/routes.py

@@ -1,349 +1,82 @@
 from __future__ import annotations
 
 import json
+from asyncio import Lock
 from collections.abc import AsyncIterator
 from datetime import UTC, datetime
+from importlib import resources
 from pathlib import Path
-from typing import cast
-from urllib.parse import parse_qs
 
-import duckdb
+from fastapi import APIRouter, Depends, Request, Response
-from fastapi import APIRouter, Depends, Request
 from fastapi.responses import HTMLResponse, JSONResponse, StreamingResponse
 from fastapi.templating import Jinja2Templates
 
-from arbitrade.alerting.notifier import SupportsAlerts, SupportsAlertStatus
 from arbitrade.api.auth import require_dashboard_auth
-from arbitrade.api.control_state import DashboardControlState
+from arbitrade.config.pairing_sync import sync_pairings_from_kraken
-from arbitrade.storage.repositories import AuditRecord, AuditRepository
+from arbitrade.dashboard.context import (
+    _backtesting_panel_context,
+    _recent_backtest_reports,
+)
+from arbitrade.dashboard.dashboard import (
+    _alert_status_snapshot,
+    _dashboard_audit,
+    _dashboard_backtesting_handler,
+    _dashboard_backtesting_job_export,
+    _dashboard_backtesting_job_handler,
+    _dashboard_charts,
+    _dashboard_config_context,
+    _dashboard_controls,
+    _dashboard_ctl_cfg,
+    _dashboard_ctl_kill,
+    _dashboard_ctl_start,
+    _dashboard_ctl_stop,
+    _dashboard_metrics,
+    _dashboard_overview,
+    _dashboard_pairings_response,
+    _dashboard_response,
+    _pairing_repo,
+    _toggle_pairing,
+)
+from arbitrade.storage.repositories import (
+    BacktestJobRepository,
+    ConfigPairingRepository,
+    LogRepository,
+)
 
 router = APIRouter(dependencies=[Depends(require_dashboard_auth)])
 public_router = APIRouter()
-templates = Jinja2Templates(
-    directory=str(Path(__file__).resolve().parents[3] / "web" / "templates")
-)
 
 
-def _format_metric(value: float | None, *, precision: int = 2, suffix: str = "") -> str:
+def _resolve_templates_directory() -> str:
-    if value is None:
+    # Support source layout, Docker runtime (/app), and installed package data.
-        return "—"
+    source_layout_path = Path(__file__).resolve().parents[3] / "web" / "templates"
-    return f"{value:.{precision}f}{suffix}"
+    if source_layout_path.is_dir():
+        return str(source_layout_path)
+
+    docker_runtime_path = Path.cwd() / "web" / "templates"
+    if docker_runtime_path.is_dir():
+        return str(docker_runtime_path)
+
+    try:
+        package_path = resources.files("arbitrade").joinpath("web", "templates")
+        if package_path.is_dir():
+            return str(package_path)
+    except (ModuleNotFoundError, AttributeError):
+        pass
+
+    return str(source_layout_path)
 
 
-def _dashboard_metrics(request: Request) -> dict[str, str]:
+templates = Jinja2Templates(directory=_resolve_templates_directory())
-    metrics = request.app.state.metrics.compute()
+_BACKTEST_ROOT = Path(__file__).resolve().parents[3]
-    return {
+_BACKTEST_RUN_LOCK = Lock()
-        "realized_pnl": _format_metric(metrics.realized_pnl_usd, precision=2, suffix=" USD"),
-        "win_rate": _format_metric(
-            metrics.win_rate * 100.0 if metrics.win_rate is not None else None,
-            precision=1,
-            suffix="%",
-        ),
-        "avg_trade_duration": _format_metric(
-            metrics.avg_trade_duration_seconds, precision=1, suffix=" s"
-        ),
-        "opportunities_per_minute": _format_metric(
-            metrics.opportunities_per_minute, precision=1, suffix=" /min"
-        ),
-        "fill_rate": _format_metric(
-            metrics.fill_rate * 100.0 if metrics.fill_rate is not None else None,
-            precision=1,
-            suffix="%",
-        ),
-        "latency_p50": _format_metric(metrics.latency_p50_seconds, precision=3, suffix=" s"),
-        "latency_p95": _format_metric(metrics.latency_p95_seconds, precision=3, suffix=" s"),
-        "latency_p99": _format_metric(metrics.latency_p99_seconds, precision=3, suffix=" s"),
-        "generated_at": datetime.now(UTC).isoformat(),
-    }
 
 
-def _table_columns(conn: duckdb.DuckDBPyConnection, table_name: str) -> set[str]:
+async def _health_response(request: Request) -> HTMLResponse:
-    rows = conn.execute(f"PRAGMA table_info('{table_name}')").fetchall()
-    return {str(row[1]) for row in rows}
-
-
-def _dashboard_overview(request: Request) -> dict[str, object]:
-    store = request.app.state.store
-    with store.connect() as conn:
-        trade_columns = _table_columns(conn, "trades")
-        trade_ref_expr = "trade_ref" if "trade_ref" in trade_columns else "CAST(id AS VARCHAR)"
-        cycle_expr = "cycle" if "cycle" in trade_columns else "NULL"
-        if "finished_at" in trade_columns:
-            open_trade_filter = "finished_at IS NULL"
-        else:
-            open_trade_filter = "LOWER(status) NOT IN ('filled', 'closed', 'cancelled', 'canceled')"
-
-        portfolio_row = conn.execute("""
-            SELECT balances, total_value_usd
-            FROM portfolio_snapshots
-            ORDER BY snapshot_at DESC
-            LIMIT 1
-            """).fetchone()
-        open_trades = conn.execute(f"""
-            SELECT {trade_ref_expr}, status, started_at, {cycle_expr}
-            FROM trades
-            WHERE {open_trade_filter}
-            ORDER BY started_at DESC
-            LIMIT 5
-            """).fetchall()
-        pnl_total_row = conn.execute("""
-            SELECT COALESCE(SUM(COALESCE(realized_pnl, 0)), 0)
-            FROM trades
-            """).fetchone()
-        latest_opportunities = conn.execute("""
-            SELECT cycle, net_pct, est_profit, detected_at
-            FROM opportunities
-            ORDER BY detected_at DESC
-            LIMIT 5
-            """).fetchall()
-
-    balances_value = "—"
-    total_value = "—"
-    if portfolio_row is not None:
-        balances_raw, total_value_raw = portfolio_row
-        balances_value = str(balances_raw) if balances_raw is not None else "—"
-        if total_value_raw is not None:
-            total_value = f"{float(total_value_raw):.2f} USD"
-
-    open_trade_rows = [
-        {
-            "trade_ref": str(row[0]),
-            "status": str(row[1]),
-            "started_at": row[2].isoformat() if isinstance(row[2], datetime) else "—",
-            "cycle": str(row[3]) if row[3] is not None else "—",
-        }
-        for row in open_trades
-    ]
-    opportunity_rows = [
-        {
-            "cycle": str(row[0]),
-            "net_pct": f"{float(row[1]):.2f}%" if row[1] is not None else "—",
-            "est_profit": f"{float(row[2]):.2f} USD" if row[2] is not None else "—",
-            "detected_at": row[3].isoformat() if isinstance(row[3], datetime) else "—",
-        }
-        for row in latest_opportunities
-    ]
-
-    return {
-        "status": "live",
-        "generated_at": datetime.now(UTC).isoformat(),
-        "balances": balances_value,
-        "total_value": total_value,
-        "open_trade_count": len(open_trade_rows),
-        "open_trades": open_trade_rows,
-        "realized_pnl_total": f"{float(pnl_total_row[0]):.2f} USD" if pnl_total_row else "—",
-        "opportunities": opportunity_rows,
-    }
-
-
-def _dashboard_charts(request: Request) -> dict[str, object]:
-    store = request.app.state.store
-    with store.connect() as conn:
-        opportunity_rows = conn.execute("""
-            SELECT detected_at, cycle, net_pct, est_profit
-            FROM opportunities
-            ORDER BY detected_at DESC
-            LIMIT 10
-            """).fetchall()
-
-    chart_rows = list(reversed(opportunity_rows))
-    labels = [
-        row[0].isoformat() if isinstance(row[0], datetime) else f"opportunity-{index + 1}"
-        for index, row in enumerate(chart_rows)
-    ]
-    net_pct_values = [float(row[2]) if row[2] is not None else 0.0 for row in chart_rows]
-    est_profit_values = [float(row[3]) if row[3] is not None else 0.0 for row in chart_rows]
-    cycles = [str(row[1]) for row in chart_rows]
-
-    return {
-        "labels": labels,
-        "net_pct_values": net_pct_values,
-        "est_profit_values": est_profit_values,
-        "cycles": cycles,
-        "has_chart_data": bool(chart_rows),
-        "generated_at": datetime.now(UTC).isoformat(),
-    }
-
-
-def _dashboard_controls_state(request: Request) -> DashboardControlState:
-    return cast(DashboardControlState, request.app.state.dashboard_controls)
-
-
-def _audit_repository(request: Request) -> AuditRepository | None:
-    repository = getattr(request.app.state, "audit_repository", None)
-    return cast(AuditRepository | None, repository)
-
-
-def _record_audit(
-    request: Request,
-    *,
-    actor: str,
-    event_type: str,
-    decision: str,
-    payload: dict[str, object] | None = None,
-) -> None:
-    repository = _audit_repository(request)
-    if repository is None:
-        return
-    correlation_id = request.headers.get("x-request-id")
-    repository.insert(
-        AuditRecord(
-            occurred_at=datetime.now(UTC),
-            actor=actor,
-            event_type=event_type,
-            decision=decision,
-            payload=None if payload is None else {str(key): payload[key] for key in payload},
-            correlation_id=correlation_id,
-        )
-    )
-
-
-def _dashboard_audit(request: Request, *, limit: int = 15) -> dict[str, object]:
-    repository = _audit_repository(request)
-    if repository is None:
-        return {
-            "entries": [],
-            "generated_at": datetime.now(UTC).isoformat(),
-        }
-
-    records = repository.list_recent(limit=limit)
-    entries: list[dict[str, str]] = []
-    for record in records:
-        payload_text = "—"
-        if record.payload:
-            payload_text = json.dumps(record.payload)
-        entries.append(
-            {
-                "occurred_at": record.occurred_at.isoformat(),
-                "actor": record.actor,
-                "event_type": record.event_type,
-                "decision": record.decision,
-                "payload": payload_text,
-                "correlation_id": record.correlation_id or "—",
-            }
-        )
-
-    return {
-        "entries": entries,
-        "generated_at": datetime.now(UTC).isoformat(),
-    }
-
-
-def _alert_notifier(request: Request) -> SupportsAlerts | None:
-    notifier = getattr(request.app.state, "alert_notifier", None)
-    return cast(SupportsAlerts | None, notifier)
-
-
-def _alert_status_snapshot(request: Request) -> dict[str, object]:
-    notifier = getattr(request.app.state, "alert_notifier", None)
-    if isinstance(notifier, SupportsAlertStatus):
-        return notifier.status_snapshot()
-    return {
-        "enabled": False,
-        "has_channels": False,
-        "configured_channels": [],
-        "min_severity": "—",
-        "dedup_seconds": 0.0,
-        "last_result": "unavailable",
-        "last_attempted_at": None,
-        "last_success_at": None,
-        "last_error": None,
-        "last_event": None,
-        "last_channel_results": [],
-    }
-
-
-def _dashboard_controls(request: Request) -> dict[str, object]:
-    controls = _dashboard_controls_state(request)
-    settings = request.app.state.settings
-    alert_status = _alert_status_snapshot(request)
-    last_event = alert_status.get("last_event")
-    last_event_title = "—"
-    if isinstance(last_event, dict):
-        title_value = last_event.get("title")
-        if isinstance(title_value, str):
-            last_event_title = title_value
-
-    configured_channels = alert_status.get("configured_channels")
-    channels_display = "—"
-    if isinstance(configured_channels, list) and configured_channels:
-        channels_display = ", ".join(str(channel) for channel in configured_channels)
-
-    dedup_seconds_raw = alert_status.get("dedup_seconds", 0.0)
-    dedup_seconds = float(dedup_seconds_raw) if isinstance(dedup_seconds_raw, int | float) else 0.0
-
-    return {
-        "execution_status": "running" if controls.is_running else "stopped",
-        "kill_switch_status": "active" if controls.kill_switch.is_active else "inactive",
-        "kill_switch_reason": controls.kill_switch.reason or "—",
-        "paper_trading_mode": "enabled" if settings.paper_trading_mode else "disabled",
-        "trade_capital_usd": f"{float(settings.trade_capital_usd):.2f} USD",
-        "trade_capital_usd_value": f"{float(settings.trade_capital_usd):.2f}",
-        "max_trade_capital_usd": (
-            "—"
-            if settings.max_trade_capital_usd is None
-            else f"{float(settings.max_trade_capital_usd):.2f} USD"
-        ),
-        "max_trade_capital_usd_value": (
-            ""
-            if settings.max_trade_capital_usd is None
-            else f"{float(settings.max_trade_capital_usd):.2f}"
-        ),
-        "max_concurrent_trades": (
-            "—" if settings.max_concurrent_trades is None else str(settings.max_concurrent_trades)
-        ),
-        "max_concurrent_trades_value": (
-            "" if settings.max_concurrent_trades is None else str(settings.max_concurrent_trades)
-        ),
-        "alerts_enabled": "enabled" if bool(alert_status.get("enabled", False)) else "disabled",
-        "alerts_channels": channels_display,
-        "alerts_min_severity": str(alert_status.get("min_severity", "—")),
-        "alerts_dedup_seconds": f"{dedup_seconds:.0f}",
-        "alerts_last_result": str(alert_status.get("last_result", "unavailable")),
-        "alerts_last_attempted_at": str(alert_status.get("last_attempted_at") or "—"),
-        "alerts_last_success_at": str(alert_status.get("last_success_at") or "—"),
-        "alerts_last_event_title": last_event_title,
-        "alerts_last_error": str(alert_status.get("last_error") or "—"),
-        "alerts_last_channel_results": [
-            str(item) for item in cast(list[object], alert_status.get("last_channel_results", []))
-        ],
-        "updated_at": controls.updated_at.isoformat(),
-        "start_endpoint": "/dashboard/control/start",
-        "stop_endpoint": "/dashboard/control/stop",
-        "kill_switch_endpoint": "/dashboard/control/kill-switch",
-        "config_endpoint": "/dashboard/control/config",
-        "chart_endpoint": "/dashboard/fragment/charts",
-    }
-
-
-def _parse_form_body(body: bytes) -> dict[str, str]:
-    parsed = parse_qs(body.decode("utf-8"), keep_blank_values=True)
-    return {key: values[-1] for key, values in parsed.items() if values}
-
-
-def _form_bool(value: str | None) -> bool:
-    if value is None:
-        return False
-    return value.lower() in {"1", "true", "yes", "on"}
-
-
-async def _dashboard_response(
-    request: Request, template_name: str = "dashboard.html"
-) -> HTMLResponse:
     return templates.TemplateResponse(
         request=request,
-        name=template_name,
+        name="health.html",
-        context={
+        context={"title": "Arbitrade Health Check"},
-            "title": "Arbitrade Dashboard",
-            "request": request,
-            "metrics_endpoint": "/dashboard/fragment/metrics",
-            "overview_endpoint": "/dashboard/fragment/overview",
-            "controls_endpoint": "/dashboard/fragment/controls",
-            "charts_endpoint": "/dashboard/fragment/charts",
-            "audit_endpoint": "/dashboard/fragment/audit",
-            "stream_endpoint": "/dashboard/stream/metrics",
-            "overview_stream_endpoint": "/dashboard/stream/overview",
-        },
     )
 
 
@@ -357,12 +90,60 @@ async def dashboard(request: Request) -> HTMLResponse:
     return await _dashboard_response(request)
 
 
+@router.get("/dashboard/health", response_class=HTMLResponse)
+async def dashboard_health_page(request: Request) -> HTMLResponse:
+    return await _health_response(request)
+
+
+@router.get("/dashboard/backtesting", response_class=HTMLResponse)
+async def dashboard_backtesting_page(request: Request) -> HTMLResponse:
+    return templates.TemplateResponse(
+        request=request,
+        name="backtesting.html",
+        context={
+            "title": "Arbitrade Backtesting",
+            "request": request,
+            "panel_endpoint": "/dashboard/fragment/backtesting",
+            "dashboard_endpoint": "/dashboard",
+        },
+    )
+
+
+@router.get("/dashboard/fragment/backtesting", response_class=HTMLResponse)
+async def dashboard_backtesting_fragment(request: Request) -> HTMLResponse:
+    ctx = await _backtesting_panel_context(request)
+    ctx["flash_message"] = ""
+    # Check if any pairings are enabled
+    repo = ConfigPairingRepository(request.app.state.store)
+    enabled = await repo.list_pairings(enabled_only=True)
+    ctx["no_enabled_pairings"] = len(enabled) == 0
+    return templates.TemplateResponse(
+        request=request,
+        name="partials/backtesting_panel.html",
+        context={"request": request, **ctx},
+    )
+
+
+@router.get("/dashboard/fragment/backtesting-pairings", response_class=HTMLResponse)
+async def dashboard_backtesting_pairings_fragment(request: Request) -> HTMLResponse:
+    """HTMX fragment: pairing checkboxes for backtest form."""
+    store = request.app.state.store
+    repo = ConfigPairingRepository(store)
+    pairings = await repo.list_pairings()
+    pairings.sort(key=lambda p: (p.base_asset, p.quote_asset))
+    return templates.TemplateResponse(
+        request=request,
+        name="partials/backtesting_pairings.html",
+        context={"request": request, "pairings": pairings},
+    )
+
+
 @router.get("/dashboard/fragment/metrics", response_class=HTMLResponse)
 async def dashboard_metrics(request: Request) -> HTMLResponse:
     return templates.TemplateResponse(
         request=request,
         name="partials/metrics.html",
-        context={"request": request, **_dashboard_metrics(request)},
+        context={"request": request, **(await _dashboard_metrics(request))},
     )
 
 
@@ -371,7 +152,7 @@ async def dashboard_overview(request: Request) -> HTMLResponse:
     return templates.TemplateResponse(
         request=request,
         name="partials/overview.html",
-        context={"request": request, **_dashboard_overview(request)},
+        context={"request": request, **(await _dashboard_overview(request))},
     )
 
 
@@ -389,7 +170,29 @@ async def dashboard_charts(request: Request) -> HTMLResponse:
     return templates.TemplateResponse(
         request=request,
         name="partials/charts.html",
-        context={"request": request, **_dashboard_charts(request)},
+        context={"request": request, **(await _dashboard_charts(request))},
+    )
+
+
+@router.get("/dashboard/audit", response_class=HTMLResponse)
+async def dashboard_audit_page(request: Request) -> HTMLResponse:
+    return templates.TemplateResponse(
+        request=request,
+        name="audit.html",
+        context={
+            "title": "Arbitrade Audit Trail",
+            "request": request,
+            **(await _dashboard_audit(request)),
+        },
+    )
+
+
+@router.get("/dashboard/audit/fragment", response_class=HTMLResponse)
+async def dashboard_audit_fragment(request: Request) -> HTMLResponse:
+    return templates.TemplateResponse(
+        request=request,
+        name="partials/audit.html",
+        context={"request": request, **(await _dashboard_audit(request))},
     )
 
 
@@ -398,7 +201,51 @@ async def dashboard_audit(request: Request) -> HTMLResponse:
     return templates.TemplateResponse(
         request=request,
         name="partials/audit.html",
-        context={"request": request, **_dashboard_audit(request)},
+        context={"request": request, **(await _dashboard_audit(request))},
+    )
+
+
+@router.get("/dashboard/config/pairings", response_class=HTMLResponse)
+async def dashboard_config_pairings_page(
+    request: Request,
+    search: str | None = None,
+    enabled: str | None = None,
+) -> HTMLResponse:
+    """Standalone pairings management page."""
+    return templates.TemplateResponse(
+        request=request,
+        name="pairings.html",
+        context={
+            "title": "Currency Pairings",
+            "request": request,
+            "search": search or "",
+            "enabled": enabled or "all",
+        },
+    )
+
+
+@router.get("/dashboard/config", response_class=HTMLResponse)
+async def dashboard_config_page(request: Request) -> HTMLResponse:
+    d_context = await _dashboard_config_context(request)
+    return templates.TemplateResponse(
+        request=request,
+        name="config.html",
+        context={
+            "title": "Arbitrade Configuration",
+            "request": request,
+            "config_endpoint": "/dashboard/control/config",
+            **d_context,
+        },
+    )
+
+
+@router.get("/dashboard/fragment/config", response_class=HTMLResponse)
+async def dashboard_config_fragment(request: Request) -> HTMLResponse:
+    d_context = await _dashboard_config_context(request)
+    return templates.TemplateResponse(
+        request=request,
+        name="partials/config.html",
+        context={"request": request, **d_context},
     )
 
 
@@ -409,163 +256,76 @@ async def dashboard_alert_status(request: Request) -> JSONResponse:
 
 @router.get("/dashboard/api/audit/recent", response_class=JSONResponse)
 async def dashboard_audit_recent(request: Request) -> JSONResponse:
-    return JSONResponse(_dashboard_audit(request, limit=25))
+    return JSONResponse(await _dashboard_audit(request, limit=25))
+
+
+@router.get("/dashboard/api/backtesting/reports", response_class=JSONResponse)
+async def dashboard_backtesting_reports(request: Request) -> JSONResponse:
+    return JSONResponse(
+        {
+            "generated_at": datetime.now(UTC).isoformat(),
+            "reports": await _recent_backtest_reports(request),
+        }
+    )
+
+
+@router.post("/dashboard/backtesting/run", response_class=HTMLResponse)
+async def dashboard_backtesting_run(request: Request) -> HTMLResponse:
+    """Submit a backtest job to the async queue. Returns panel with job list."""
+    return await _dashboard_backtesting_handler(request)
+
+
+@router.post("/dashboard/backtesting/job/{job_id}/delete", response_class=HTMLResponse)
+async def dashboard_backtesting_delete(request: Request, job_id: str) -> HTMLResponse:
+    store = request.app.state.store
+    repo = BacktestJobRepository(store)
+    context = await _backtesting_panel_context(request)
+    await repo.delete_job(job_id)
+    return templates.TemplateResponse(
+        request=request,
+        name="partials/backtesting_panel.html",
+        context={"request": request, **context},
+    )
+
+
+@router.get("/dashboard/backtesting/job/{job_id}", response_class=HTMLResponse)
+async def dashboard_backtesting_job_detail(request: Request, job_id: str) -> HTMLResponse:
+    return await _dashboard_backtesting_job_handler(request, job_id=job_id)
+
+
+@router.get("/dashboard/backtesting/job/{job_id}/export", response_class=Response)
+async def dashboard_backtesting_export(request: Request, job_id: str) -> Response:
+    return await _dashboard_backtesting_job_export(request, job_id=job_id)
 
 
 @router.post("/dashboard/control/start", response_class=HTMLResponse)
 async def dashboard_control_start(request: Request) -> HTMLResponse:
-    controls = _dashboard_controls_state(request)
+    return await _dashboard_ctl_start(request)
-    controls.is_running = True
-    controls.mark_updated()
-    notifier = _alert_notifier(request)
-    if notifier is not None:
-        await notifier.notify(
-            category="system",
-            severity="info",
-            title="Execution started",
-            message="Dashboard control started execution.",
-        )
-    _record_audit(
-        request,
-        actor="dashboard_user",
-        event_type="dashboard.control.start",
-        decision="approved",
-        payload={"execution_status": "running"},
-    )
-    return templates.TemplateResponse(
-        request=request,
-        name="partials/controls.html",
-        context={"request": request, **_dashboard_controls(request)},
-    )
 
 
 @router.post("/dashboard/control/stop", response_class=HTMLResponse)
 async def dashboard_control_stop(request: Request) -> HTMLResponse:
-    controls = _dashboard_controls_state(request)
+    return await _dashboard_ctl_stop(request)
-    controls.is_running = False
-    controls.mark_updated()
-    notifier = _alert_notifier(request)
-    if notifier is not None:
-        await notifier.notify(
-            category="system",
-            severity="warning",
-            title="Execution stopped",
-            message="Dashboard control stopped execution.",
-        )
-    _record_audit(
-        request,
-        actor="dashboard_user",
-        event_type="dashboard.control.stop",
-        decision="approved",
-        payload={"execution_status": "stopped"},
-    )
-    return templates.TemplateResponse(
-        request=request,
-        name="partials/controls.html",
-        context={"request": request, **_dashboard_controls(request)},
-    )
 
 
 @router.post("/dashboard/control/kill-switch", response_class=HTMLResponse)
 async def dashboard_control_kill_switch(request: Request) -> HTMLResponse:
-    controls = _dashboard_controls_state(request)
+    return await _dashboard_ctl_kill(request)
-    form = _parse_form_body(await request.body())
-    reason = form.get("reason") or "manual"
-    controls.kill_switch.activate(reason=reason)
-    controls.is_running = False
-    controls.mark_updated()
-    notifier = _alert_notifier(request)
-    if notifier is not None:
-        await notifier.notify(
-            category="threshold",
-            severity="critical",
-            title="Kill switch activated",
-            message="Kill switch triggered from dashboard control.",
-            details={"reason": reason},
-        )
-    _record_audit(
-        request,
-        actor="dashboard_user",
-        event_type="dashboard.control.kill_switch",
-        decision="approved",
-        payload={"reason": reason},
-    )
-    return templates.TemplateResponse(
-        request=request,
-        name="partials/controls.html",
-        context={"request": request, **_dashboard_controls(request)},
-    )
 
 
 @router.post("/dashboard/control/config", response_class=HTMLResponse)
 async def dashboard_control_config(request: Request) -> HTMLResponse:
-    controls = _dashboard_controls_state(request)
+    return await _dashboard_ctl_cfg(request)
-    settings = request.app.state.settings
-    form = _parse_form_body(await request.body())
-
-    if "trade_capital_usd" in form and form["trade_capital_usd"]:
-        settings.trade_capital_usd = float(form["trade_capital_usd"])
-    if "max_trade_capital_usd" in form:
-        max_trade_capital_value = form["max_trade_capital_usd"].strip()
-        settings.max_trade_capital_usd = (
-            float(max_trade_capital_value) if max_trade_capital_value else None
-        )
-    if "max_concurrent_trades" in form:
-        max_concurrent_value = form["max_concurrent_trades"].strip()
-        settings.max_concurrent_trades = int(max_concurrent_value) if max_concurrent_value else None
-
-    settings.paper_trading_mode = _form_bool(form.get("paper_trading_mode"))
-    controls.mark_updated()
-
-    notifier = _alert_notifier(request)
-    if notifier is not None:
-        await notifier.notify(
-            category="system",
-            severity="info",
-            title="Runtime config updated",
-            message="Dashboard control updated runtime risk and execution settings.",
-            details={
-                "trade_capital_usd": f"{settings.trade_capital_usd}",
-                "max_trade_capital_usd": (
-                    "none"
-                    if settings.max_trade_capital_usd is None
-                    else f"{settings.max_trade_capital_usd}"
-                ),
-                "max_concurrent_trades": (
-                    "none"
-                    if settings.max_concurrent_trades is None
-                    else f"{settings.max_concurrent_trades}"
-                ),
-                "paper_trading_mode": "true" if settings.paper_trading_mode else "false",
-            },
-        )
-    _record_audit(
-        request,
-        actor="dashboard_user",
-        event_type="dashboard.control.config",
-        decision="approved",
-        payload={
-            "trade_capital_usd": settings.trade_capital_usd,
-            "max_trade_capital_usd": settings.max_trade_capital_usd,
-            "max_concurrent_trades": settings.max_concurrent_trades,
-            "paper_trading_mode": settings.paper_trading_mode,
-        },
-    )
-
-    return templates.TemplateResponse(
-        request=request,
-        name="partials/controls.html",
-        context={"request": request, **_dashboard_controls(request)},
-    )
 
 
 @router.get("/dashboard/stream/metrics")
 async def dashboard_metrics_stream(request: Request) -> StreamingResponse:
+    metrics = await _dashboard_metrics(request)
     fragment = (
         templates.get_template("partials/metrics.html")
         .render(
             request=request,
-            **_dashboard_metrics(request),
+            **metrics,
         )
         .strip()
         .replace("\n", "")
@@ -580,9 +340,10 @@ async def dashboard_metrics_stream(request: Request) -> StreamingResponse:
 
 @router.get("/dashboard/stream/overview")
 async def dashboard_overview_stream(request: Request) -> StreamingResponse:
+    overview = await _dashboard_overview(request)
     fragment = (
         templates.get_template("partials/overview.html")
-        .render(request=request, **_dashboard_overview(request))
+        .render(request=request, **overview)
         .strip()
         .replace("\n", "")
     )
@@ -597,3 +358,127 @@ async def dashboard_overview_stream(request: Request) -> StreamingResponse:
 @public_router.get("/health", response_class=JSONResponse)
 async def health() -> JSONResponse:
     return JSONResponse({"status": "ok", "service": "arbitrade"})
+
+
+# ── Pairing API ─────────────────────────────────────────────────────────────
+
+
+@router.get("/dashboard/api/pairings", response_class=JSONResponse)
+async def dashboard_api_pairings(
+    request: Request,
+    search: str | None = None,
+    enabled: str | None = None,
+    source: str | None = None,
+    base: str | None = None,
+    quote: str | None = None,
+    sort: str = "base_asset",
+    order: str = "asc",
+) -> JSONResponse:
+    """List pairings with optional filters."""
+    return await _dashboard_pairings_response(
+        request,
+        search=search,
+        enabled=enabled,
+        source=source,
+        base=base,
+        quote=quote,
+        sort=sort,
+        order=order,
+    )
+
+
+@router.get("/dashboard/fragment/pairings", response_class=HTMLResponse)
+async def dashboard_pairings_fragment(
+    request: Request,
+    search: str | None = None,
+    enabled: str | None = None,
+) -> HTMLResponse:
+    """HTMX fragment: pairing table for config page."""
+    repo = _pairing_repo(request)
+    pairings = await repo.list_pairings()
+
+    # Apply search filter
+    if search:
+        sl = search.lower()
+        pairings = [
+            p for p in pairings if sl in p.base_asset.lower() or sl in p.quote_asset.lower()
+        ]
+    if enabled is not None and enabled.lower() != "all":
+        eb = enabled.lower() == "true"
+        pairings = [p for p in pairings if p.enabled == eb]
+
+    pairings.sort(key=lambda p: (p.base_asset, p.quote_asset))
+    return templates.TemplateResponse(
+        request=request,
+        name="partials/pairings_table.html",
+        context={"request": request, "pairings": pairings},
+    )
+
+
+@router.post("/dashboard/api/pairings/toggle")
+async def dashboard_api_pairings_toggle(request: Request) -> HTMLResponse:
+    return await _toggle_pairing(request)
+
+
+@router.post("/dashboard/api/pairings/sync", response_class=HTMLResponse)
+async def dashboard_api_pairings_sync(request: Request) -> HTMLResponse:
+    """Sync pairings from Kraken and return refreshed table."""
+
+    store = request.app.state.store
+    kraken = getattr(request.app.state, "kraken_client", None)
+    if kraken is not None:
+        await sync_pairings_from_kraken(kraken, store)
+    repo = _pairing_repo(request)
+    pairings = await repo.list_pairings()
+    pairings.sort(key=lambda p: (p.base_asset, p.quote_asset))
+    return templates.TemplateResponse(
+        request=request,
+        name="partials/pairings_table.html",
+        context={"request": request, "pairings": pairings},
+    )
+
+
+# ── Log routes ──────────────────────────────────────────────────────────────
+
+
+@router.get("/dashboard/fragment/logs", response_class=HTMLResponse)
+async def dashboard_logs_fragment(
+    request: Request,
+    level: str | None = None,
+    page: int = 1,
+    per_page: int = 50,
+) -> HTMLResponse:
+    """HTMX fragment: log table for health page."""
+    repo = LogRepository(request.app.state.store)
+    offset = (page - 1) * per_page
+    records = await repo.query(level=level, limit=per_page, offset=offset)
+    total = await repo.count_filtered(level=level)
+    total_pages = max(1, (total + per_page - 1) // per_page)
+    return templates.TemplateResponse(
+        request=request,
+        name="partials/log_table.html",
+        context={
+            "request": request,
+            "records": records,
+            "page": page,
+            "total_pages": total_pages,
+            "total": total,
+            "current_level": level or "all",
+        },
+    )
+
+
+@router.post("/dashboard/api/logging/aggregate", response_class=JSONResponse)
+async def dashboard_logging_aggregate(request: Request) -> JSONResponse:
+    from arbitrade.logging.maintenance import run_log_aggregation
+
+    await run_log_aggregation(request.app.state.store)
+    return JSONResponse({"status": "ok"})
+
+
+@router.post("/dashboard/api/logging/archive", response_class=JSONResponse)
+async def dashboard_logging_archive(request: Request) -> JSONResponse:
+    from arbitrade.logging.maintenance import run_log_archive
+
+    count = await run_log_archive(request.app.state.store)
+    return JSONResponse({"status": "ok", "archived": count})

src/arbitrade/backtesting/__init__.py

@@ -6,6 +6,16 @@ from arbitrade.backtesting.replay import (
     ReplayClock,
     load_replay_events,
 )
+from arbitrade.backtesting.sweep import (
+    PromotionCriteria,
+    SweepArtifacts,
+    SweepParameters,
+    SweepResult,
+    build_parameter_grid,
+    persist_sweep_results,
+    run_parameter_search,
+    split_events_time_windows,
+)
 
 __all__ = [
     "ReplayClock",
@@ -14,4 +24,12 @@ __all__ = [
     "BacktestReport",
     "BacktestReplayEngine",
     "load_replay_events",
+    "SweepParameters",
+    "SweepResult",
+    "SweepArtifacts",
+    "PromotionCriteria",
+    "split_events_time_windows",
+    "build_parameter_grid",
+    "run_parameter_search",
+    "persist_sweep_results",
 ]

src/arbitrade/backtesting/replay.py

@@ -17,6 +17,7 @@ from arbitrade.execution.sequencer import TriangularExecutionSequencer
 from arbitrade.market_data.order_book import OrderBook
 from arbitrade.risk.pre_trade import PreTradeValidator
 from arbitrade.risk.trade_limits import TradeLimitsGuard
+from arbitrade.storage.pg_store import PgStore
 
 
 @dataclass(slots=True)
@@ -56,7 +57,7 @@ class ReplayBookEvent:
 
 @dataclass(frozen=True, slots=True)
 class BacktestConfig:
-    fee_rate: float = 0.0026
+    fee_rate: float = 0.0  # 0.0 means "use API-sourced fee from kraken_account_snapshots"
     min_profit_threshold: float = 0.0005
     trade_capital: float = 100.0
     quote_asset: str = "USD"
@@ -153,8 +154,7 @@ def _parse_book_levels(raw_levels: Any) -> tuple[BookLevel, ...]:
             or not isinstance(raw_level[1], int | float)
         ):
             raise ValueError("Each level must be [price, volume]")
-        levels.append(BookLevel(price=float(
+        levels.append(BookLevel(price=float(raw_level[0]), volume=float(raw_level[1])))
-            raw_level[0]), volume=float(raw_level[1])))
 
     return tuple(levels)
 
@@ -173,8 +173,7 @@ def load_replay_events(path: Path) -> list[ReplayBookEvent]:
         if not isinstance(timestamp_raw, str) or not isinstance(symbol_raw, str):
             raise ValueError("Each event must include timestamp and symbol")
 
-        occurred_at = datetime.fromisoformat(
+        occurred_at = datetime.fromisoformat(timestamp_raw.replace("Z", "+00:00")).astimezone(UTC)
-            timestamp_raw.replace("Z", "+00:00")).astimezone(UTC)
         events.append(
             ReplayBookEvent(
                 occurred_at=occurred_at,
@@ -187,6 +186,89 @@ def load_replay_events(path: Path) -> list[ReplayBookEvent]:
     return sorted(events, key=lambda event: event.occurred_at)
 
 
+async def load_replay_events_from_db(
+    store: PgStore,
+    *,
+    symbols: list[str] | None = None,
+    start: datetime | None = None,
+    end: datetime | None = None,
+) -> list[ReplayBookEvent]:
+    """Load replay events from market_snapshots table.
+
+    Each market_snapshots row has snapshot_at, symbol, payload (raw Kraken WS).
+    Payload format: {channel, symbol, data: [{bids: [{price, qty}], asks: [{price, qty}]}]}
+    """
+    async with store.pool.acquire() as conn:
+        query = "SELECT snapshot_at, symbol, payload FROM market_snapshots WHERE 1=1"
+        params: list[object] = []
+
+        if symbols:
+            placeholders = ",".join(f"${i+1}" for i in range(len(symbols)))
+            query += f" AND symbol IN ({placeholders})"
+            params.extend(symbols)
+
+        if start is not None:
+            params.append(start)
+            query += f" AND snapshot_at >= ${len(params)}"
+
+        if end is not None:
+            params.append(end)
+            query += f" AND snapshot_at <= ${len(params)}"
+
+        query += " ORDER BY snapshot_at ASC"
+
+        rows = await conn.fetch(query, *params)
+
+    events: list[ReplayBookEvent] = []
+    for row in rows:
+        snapshot_at: datetime = row["snapshot_at"]
+        symbol: str = row["symbol"]
+        payload_raw = row["payload"]
+
+        if isinstance(payload_raw, str):
+            payload = orjson.loads(payload_raw)
+        elif isinstance(payload_raw, dict):
+            payload = payload_raw
+        else:
+            continue
+
+        data = payload.get("data")
+        if not isinstance(data, list) or not data:
+            continue
+
+        first = data[0]
+        if not isinstance(first, dict):
+            continue
+
+        bids = _parse_kraken_book_levels(first.get("bids"))
+        asks = _parse_kraken_book_levels(first.get("asks"))
+
+        if bids or asks:
+            events.append(
+                ReplayBookEvent(
+                    occurred_at=snapshot_at,
+                    symbol=symbol,
+                    bids=bids,
+                    asks=asks,
+                )
+            )
+
+    return events
+
+
+def _parse_kraken_book_levels(
+    raw_levels: object | None,
+) -> tuple[BookLevel, ...]:
+    """Parse Kraken WS book level format: [{price, qty}, ...]."""
+    if not isinstance(raw_levels, list):
+        return ()
+    levels: list[BookLevel] = []
+    for level in raw_levels:
+        if isinstance(level, dict) and "price" in level and "qty" in level:
+            levels.append(BookLevel(price=float(level["price"]), volume=float(level["qty"])))
+    return tuple(levels)
+
+
 class BacktestReplayEngine:
     def __init__(
         self,
@@ -208,8 +290,7 @@ class BacktestReplayEngine:
             min_order_size_by_pair=config.min_order_size_by_pair,
         )
         self._pre_trade = PreTradeValidator()
-        self._trade_limits = TradeLimitsGuard(
+        self._trade_limits = TradeLimitsGuard(max_concurrent_trades=config.max_concurrent_trades)
-            max_concurrent_trades=config.max_concurrent_trades)
         self._simulated_rest = _SimulatedRestClient(
             self._clock,
             slippage_bps=config.slippage_bps,
@@ -244,8 +325,7 @@ class BacktestReplayEngine:
         trades_executed = 0
 
         realized_pnl = 0.0
-        equity = float(starting_balances.get(
+        equity = float(starting_balances.get(self._config.quote_asset.upper(), 0.0))
-            self._config.quote_asset.upper(), 0.0))
         peak_equity = equity
         max_drawdown = 0.0
 
@@ -288,8 +368,7 @@ class BacktestReplayEngine:
                 result = await self._sequencer.execute(opportunity)
                 self._trade_limits.close_trade(exposure)
 
-                execution_latencies.append(
+                execution_latencies.append(self._simulated_rest.last_trade_latency_ms)
-                    self._simulated_rest.last_trade_latency_ms)
                 fill_samples.append(self._simulated_rest.last_fill_ratio)
 
                 if not result.success:
@@ -312,8 +391,7 @@ class BacktestReplayEngine:
 
         wins = sum(1 for pnl in realized_samples if pnl > 0.0)
         win_rate = (wins / len(realized_samples)) if realized_samples else None
-        fill_rate = (sum(fill_samples) / len(fill_samples)
+        fill_rate = (sum(fill_samples) / len(fill_samples)) if fill_samples else None
-                     ) if fill_samples else None
 
         return BacktestReport(
             started_at=events[0].occurred_at if events else self._clock.now,

src/arbitrade/backtesting/runner.py

@@ -0,0 +1,171 @@
+"""Async backtest job runner — picks up pending jobs from DB and executes them."""
+
+from __future__ import annotations
+
+import asyncio
+from datetime import datetime
+from pathlib import Path
+
+import structlog
+
+from arbitrade.backtesting.replay import (
+    BacktestConfig,
+    BacktestReplayEngine,
+    load_replay_events,
+    load_replay_events_from_db,
+)
+from arbitrade.detection.graph import CurrencyGraph, TriangularCycle
+from arbitrade.storage.pg_store import PgStore
+from arbitrade.storage.repositories import BacktestJobRepository
+
+_LOG = structlog.get_logger(__name__)
+
+
+def _build_cycles_from_events(
+    symbols: set[str],
+) -> tuple[dict[str, list[TriangularCycle]], list[str]]:
+    graph = CurrencyGraph()
+    for symbol in sorted(symbols):
+        if "/" not in symbol:
+            continue
+        base, quote = symbol.upper().split("/", 1)
+        graph.add_pair(base, quote, f"{base}/{quote}")
+    cycles = graph.triangular_cycles()
+    return graph.index_cycles_by_pair(cycles), sorted(symbols)
+
+
+def _parse_balances(raw: str) -> dict[str, float]:
+    balances: dict[str, float] = {}
+    for entry in raw.split(","):
+        stripped = entry.strip()
+        if not stripped:
+            continue
+        if "=" not in stripped:
+            continue
+        asset, value = stripped.split("=", 1)
+        balances[asset.strip().upper()] = float(value)
+    return balances or {"USD": 1000.0}
+
+
+async def run_backtest_job(
+    job_id: str,
+    config_dict: dict[str, object] | None,
+    store: PgStore,
+) -> None:
+    """Execute a single backtest job: load events from DB or file, run engine, store report."""
+    repo = BacktestJobRepository(store)
+    await repo.update_status(job_id, "running")
+    _LOG.info("backtest_job_started", job_id=job_id)
+
+    try:
+        config = config_dict or {}
+        events_path = str(config.get("events_path", ""))
+        symbols_raw = config.get("symbols")
+        source = str(config.get("source", "db"))
+
+        start_dt = None
+        end_dt = None
+        if source == "db":
+            start_str = config.get("start_time")
+            end_str = config.get("end_time")
+            if isinstance(start_str, str) and start_str:
+                start_dt = datetime.fromisoformat(start_str.replace("Z", "+00:00"))
+            if isinstance(end_str, str) and end_str:
+                end_dt = datetime.fromisoformat(end_str.replace("Z", "+00:00"))
+
+            symbols: list[str] | None = None
+            if isinstance(symbols_raw, str) and symbols_raw.strip():
+                symbols = [s.strip().upper() for s in symbols_raw.split(",") if s.strip()]
+            elif isinstance(symbols_raw, list):
+                symbols = [str(s).upper() for s in symbols_raw]
+
+            events = await load_replay_events_from_db(
+                store,
+                symbols=symbols,
+                start=start_dt,
+                end=end_dt,
+            )
+        else:
+            path = Path(events_path)
+            if not path.is_absolute():
+                path = Path("data") / path
+            path = path.resolve()
+            events = load_replay_events(path)
+
+        if not events:
+            raise ValueError("No events found for backtest")
+
+        starting_balances_raw = str(config.get("starting_balances", "USD=1000.0"))
+        starting_balances = _parse_balances(starting_balances_raw)
+
+        fee_rate = float(config.get("fee_rate", 0.0026))  # type: ignore
+        trade_capital = float(config.get("trade_capital", 100.0))  # type: ignore
+        min_profit_threshold = float(config.get("min_profit_threshold", 0.0005))  # type: ignore
+        slippage_bps = float(config.get("slippage_bps", 4.0))  # type: ignore
+        execution_latency_ms = float(config.get("execution_latency_ms", 20.0))  # type: ignore
+
+        cycles_by_pair, available_pairs = _build_cycles_from_events(
+            {e.symbol.upper() for e in events}
+        )
+        if not cycles_by_pair:
+            raise ValueError("No triangular cycles found in event data")
+
+        bt_config = BacktestConfig(
+            fee_rate=fee_rate,
+            min_profit_threshold=min_profit_threshold,
+            trade_capital=trade_capital,
+            slippage_bps=slippage_bps,
+            execution_latency_ms=execution_latency_ms,
+        )
+
+        engine = BacktestReplayEngine(
+            cycles_by_pair=cycles_by_pair,
+            available_pairs=available_pairs,
+            config=bt_config,
+            started_at=events[0].occurred_at,
+        )
+        report = await engine.run(events, starting_balances=starting_balances)
+
+        report_dict = {
+            "processed_events": report.processed_events,
+            "opportunities_seen": report.opportunities_seen,
+            "trades_executed": report.trades_executed,
+            "win_rate": report.win_rate,
+            "fill_rate": report.fill_rate,
+            "realized_pnl_usd": report.realized_pnl_usd,
+            "max_drawdown_usd": report.max_drawdown_usd,
+            "execution_latency_p50_ms": report.execution_latency_p50_ms,
+            "execution_latency_p95_ms": report.execution_latency_p95_ms,
+            "execution_latency_p99_ms": report.execution_latency_p99_ms,
+            "started_at": report.started_at.isoformat(),
+            "finished_at": report.finished_at.isoformat(),
+        }
+
+        await repo.store_report(job_id, report_dict)
+        await repo.update_status(job_id, "completed")
+        _LOG.info("backtest_job_completed", job_id=job_id, pnl=report.realized_pnl_usd)
+
+    except Exception as exc:
+        await repo.update_status(job_id, "failed", error=str(exc))
+        _LOG.exception("backtest_job_failed", job_id=job_id, error=str(exc))
+
+
+async def backtest_worker(
+    queue: asyncio.Queue[tuple[str, dict[str, object] | None] | None],
+    store: PgStore,
+) -> None:
+    """Worker coroutine: pull jobs from queue and execute them one at a time."""
+    _LOG.info("backtest_worker_started")
+    while True:
+        item = await queue.get()
+        if item is None:
+            queue.task_done()
+            break
+        job_id, config = item
+        try:
+            await run_backtest_job(job_id, config, store)
+        except Exception:
+            _LOG.exception("backtest_worker_unhandled_error", job_id=job_id)
+        finally:
+            queue.task_done()
+    _LOG.info("backtest_worker_stopped")

src/arbitrade/backtesting/sweep.py

@@ -0,0 +1,391 @@
+from __future__ import annotations
+
+import asyncio
+from collections.abc import Mapping, Sequence
+from dataclasses import dataclass
+from datetime import UTC, datetime
+from pathlib import Path
+
+import orjson
+
+from arbitrade.backtesting.replay import (
+    BacktestConfig,
+    BacktestReplayEngine,
+    BacktestReport,
+    ReplayBookEvent,
+)
+from arbitrade.detection.graph import TriangularCycle
+
+
+@dataclass(frozen=True, slots=True)
+class SweepParameters:
+    min_profit_threshold: float
+    trade_capital: float
+    pair_universe: tuple[str, ...]
+    staleness_threshold_seconds: float
+
+
+@dataclass(frozen=True, slots=True)
+class PromotionCriteria:
+    min_test_realized_pnl_usd: float = 0.0
+    min_test_win_rate: float = 0.5
+    min_test_fill_rate: float = 0.9
+    max_test_drawdown_usd: float = 25.0
+    max_generalization_gap_ratio: float = 0.5
+
+
+@dataclass(frozen=True, slots=True)
+class SweepResult:
+    parameters: SweepParameters
+    train_report: BacktestReport
+    test_report: BacktestReport
+    train_score: float
+    test_score: float
+    generalization_gap_ratio: float
+    overfit_detected: bool
+    promotion_ready: bool
+    promotion_reasons: tuple[str, ...]
+    train_event_count: int
+    test_event_count: int
+
+
+@dataclass(frozen=True, slots=True)
+class SweepArtifacts:
+    results: tuple[SweepResult, ...]
+    promoted: tuple[SweepResult, ...]
+    train_window: tuple[datetime, datetime] | None
+    test_window: tuple[datetime, datetime] | None
+
+
+def split_events_time_windows(
+    events: Sequence[ReplayBookEvent],
+    *,
+    train_ratio: float,
+) -> tuple[list[ReplayBookEvent], list[ReplayBookEvent]]:
+    if train_ratio <= 0.0 or train_ratio >= 1.0:
+        raise ValueError("train_ratio must be between 0 and 1")
+    if len(events) < 2:
+        raise ValueError("at least two events are required for time split")
+
+    split_index = max(1, min(len(events) - 1, int(len(events) * train_ratio)))
+    return list(events[:split_index]), list(events[split_index:])
+
+
+def build_parameter_grid(
+    *,
+    theta_values: Sequence[float],
+    trade_capital_values: Sequence[float],
+    pair_universes: Sequence[Sequence[str]],
+    staleness_threshold_values: Sequence[float],
+) -> list[SweepParameters]:
+    if not theta_values:
+        raise ValueError("theta_values must not be empty")
+    if not trade_capital_values:
+        raise ValueError("trade_capital_values must not be empty")
+    if not pair_universes:
+        raise ValueError("pair_universes must not be empty")
+    if not staleness_threshold_values:
+        raise ValueError("staleness_threshold_values must not be empty")
+
+    grid: list[SweepParameters] = []
+    for theta in theta_values:
+        for trade_capital in trade_capital_values:
+            for pair_universe in pair_universes:
+                normalized_universe = tuple(sorted({pair.upper() for pair in pair_universe}))
+                for staleness_threshold in staleness_threshold_values:
+                    grid.append(
+                        SweepParameters(
+                            min_profit_threshold=float(theta),
+                            trade_capital=float(trade_capital),
+                            pair_universe=normalized_universe,
+                            staleness_threshold_seconds=float(staleness_threshold),
+                        )
+                    )
+    return grid
+
+
+def _filter_events_for_parameters(
+    events: Sequence[ReplayBookEvent],
+    *,
+    pair_universe: set[str],
+    staleness_threshold_seconds: float,
+) -> list[ReplayBookEvent]:
+    if staleness_threshold_seconds <= 0.0:
+        raise ValueError("staleness_threshold_seconds must be > 0")
+
+    filtered: list[ReplayBookEvent] = []
+    last_seen_by_symbol: dict[str, datetime] = {}
+
+    for event in events:
+        symbol = event.symbol.upper()
+        if symbol not in pair_universe:
+            continue
+
+        previous = last_seen_by_symbol.get(symbol)
+        last_seen_by_symbol[symbol] = event.occurred_at
+        if previous is None:
+            filtered.append(event)
+            continue
+
+        gap_seconds = (event.occurred_at - previous).total_seconds()
+        if gap_seconds <= staleness_threshold_seconds:
+            filtered.append(event)
+
+    return filtered
+
+
+def _restrict_cycles_by_pair(
+    cycles_by_pair: Mapping[str, list[TriangularCycle]],
+    *,
+    pair_universe: set[str],
+) -> dict[str, list[TriangularCycle]]:
+    restricted: dict[str, list[TriangularCycle]] = {}
+    for pair_symbol, cycles in cycles_by_pair.items():
+        normalized_pair = pair_symbol.upper()
+        if normalized_pair not in pair_universe:
+            continue
+
+        kept = [
+            cycle for cycle in cycles if all(pair.upper() in pair_universe for pair in cycle.pairs)
+        ]
+        if kept:
+            restricted[normalized_pair] = kept
+    return restricted
+
+
+def _score_report(report: BacktestReport) -> float:
+    win_rate_bonus = (report.win_rate or 0.0) * 100.0
+    fill_rate_bonus = (report.fill_rate or 0.0) * 50.0
+    return report.realized_pnl_usd + win_rate_bonus + fill_rate_bonus - report.max_drawdown_usd
+
+
+def _safe_ratio(numerator: float, denominator: float) -> float:
+    if denominator <= 0.0:
+        return 0.0 if numerator <= 0.0 else 1.0
+    return max(0.0, numerator / denominator)
+
+
+def _evaluate_promotion(
+    *,
+    result: SweepResult,
+    criteria: PromotionCriteria,
+) -> tuple[bool, tuple[str, ...]]:
+    reasons: list[str] = []
+    test = result.test_report
+
+    if test.realized_pnl_usd < criteria.min_test_realized_pnl_usd:
+        reasons.append("test_realized_pnl_below_threshold")
+    if (test.win_rate or 0.0) < criteria.min_test_win_rate:
+        reasons.append("test_win_rate_below_threshold")
+    if (test.fill_rate or 0.0) < criteria.min_test_fill_rate:
+        reasons.append("test_fill_rate_below_threshold")
+    if test.max_drawdown_usd > criteria.max_test_drawdown_usd:
+        reasons.append("test_drawdown_above_threshold")
+    if result.generalization_gap_ratio > criteria.max_generalization_gap_ratio:
+        reasons.append("generalization_gap_above_threshold")
+
+    return (not reasons), tuple(reasons)
+
+
+def _run_backtest(
+    *,
+    events: Sequence[ReplayBookEvent],
+    cycles_by_pair: Mapping[str, list[TriangularCycle]],
+    available_pairs: Sequence[str],
+    config: BacktestConfig,
+    starting_balances: Mapping[str, float],
+) -> BacktestReport:
+    started_at = events[0].occurred_at if events else datetime.now(UTC)
+    engine = BacktestReplayEngine(
+        cycles_by_pair=cycles_by_pair,
+        available_pairs=available_pairs,
+        config=config,
+        started_at=started_at,
+    )
+    return asyncio.run(engine.run(events, starting_balances=starting_balances))
+
+
+def run_parameter_search(
+    *,
+    events: Sequence[ReplayBookEvent],
+    cycles_by_pair: Mapping[str, list[TriangularCycle]],
+    parameter_grid: Sequence[SweepParameters],
+    starting_balances: Mapping[str, float],
+    train_ratio: float,
+    promotion_criteria: PromotionCriteria | None = None,
+    max_concurrent_trades: int = 1,
+    max_depth_levels: int = 10,
+    quote_asset: str = "USD",
+) -> SweepArtifacts:
+    criteria = promotion_criteria or PromotionCriteria()
+    train_events, test_events = split_events_time_windows(events, train_ratio=train_ratio)
+
+    results: list[SweepResult] = []
+    promoted: list[SweepResult] = []
+
+    for parameters in parameter_grid:
+        allowed_pairs = set(parameters.pair_universe)
+        filtered_train = _filter_events_for_parameters(
+            train_events,
+            pair_universe=allowed_pairs,
+            staleness_threshold_seconds=parameters.staleness_threshold_seconds,
+        )
+        filtered_test = _filter_events_for_parameters(
+            test_events,
+            pair_universe=allowed_pairs,
+            staleness_threshold_seconds=parameters.staleness_threshold_seconds,
+        )
+
+        if not filtered_train or not filtered_test:
+            continue
+
+        restricted_cycles = _restrict_cycles_by_pair(
+            cycles_by_pair,
+            pair_universe=allowed_pairs,
+        )
+        if not restricted_cycles:
+            continue
+
+        config = BacktestConfig(
+            min_profit_threshold=parameters.min_profit_threshold,
+            trade_capital=parameters.trade_capital,
+            max_concurrent_trades=max_concurrent_trades,
+            max_depth_levels=max_depth_levels,
+            quote_asset=quote_asset,
+        )
+
+        train_report = _run_backtest(
+            events=filtered_train,
+            cycles_by_pair=restricted_cycles,
+            available_pairs=sorted(allowed_pairs),
+            config=config,
+            starting_balances=starting_balances,
+        )
+        test_report = _run_backtest(
+            events=filtered_test,
+            cycles_by_pair=restricted_cycles,
+            available_pairs=sorted(allowed_pairs),
+            config=config,
+            starting_balances=starting_balances,
+        )
+
+        train_score = _score_report(train_report)
+        test_score = _score_report(test_report)
+        score_drop = max(0.0, train_score - test_score)
+        generalization_gap_ratio = _safe_ratio(score_drop, abs(train_score))
+        overfit_detected = generalization_gap_ratio > criteria.max_generalization_gap_ratio
+
+        base_result = SweepResult(
+            parameters=parameters,
+            train_report=train_report,
+            test_report=test_report,
+            train_score=train_score,
+            test_score=test_score,
+            generalization_gap_ratio=generalization_gap_ratio,
+            overfit_detected=overfit_detected,
+            promotion_ready=False,
+            promotion_reasons=(),
+            train_event_count=len(filtered_train),
+            test_event_count=len(filtered_test),
+        )
+        promotion_ready, promotion_reasons = _evaluate_promotion(
+            result=base_result, criteria=criteria
+        )
+        completed_result = SweepResult(
+            parameters=base_result.parameters,
+            train_report=base_result.train_report,
+            test_report=base_result.test_report,
+            train_score=base_result.train_score,
+            test_score=base_result.test_score,
+            generalization_gap_ratio=base_result.generalization_gap_ratio,
+            overfit_detected=base_result.overfit_detected,
+            promotion_ready=promotion_ready,
+            promotion_reasons=promotion_reasons,
+            train_event_count=base_result.train_event_count,
+            test_event_count=base_result.test_event_count,
+        )
+
+        results.append(completed_result)
+        if completed_result.promotion_ready:
+            promoted.append(completed_result)
+
+    results.sort(key=lambda item: item.test_score, reverse=True)
+    promoted.sort(key=lambda item: item.test_score, reverse=True)
+
+    train_window: tuple[datetime, datetime] | None = None
+    test_window: tuple[datetime, datetime] | None = None
+    if train_events:
+        train_window = (train_events[0].occurred_at, train_events[-1].occurred_at)
+    if test_events:
+        test_window = (test_events[0].occurred_at, test_events[-1].occurred_at)
+
+    return SweepArtifacts(
+        results=tuple(results),
+        promoted=tuple(promoted),
+        train_window=train_window,
+        test_window=test_window,
+    )
+
+
+def _report_to_dict(report: BacktestReport) -> dict[str, object]:
+    return {
+        "started_at": report.started_at.isoformat(),
+        "finished_at": report.finished_at.isoformat(),
+        "processed_events": report.processed_events,
+        "opportunities_seen": report.opportunities_seen,
+        "trades_executed": report.trades_executed,
+        "win_rate": report.win_rate,
+        "fill_rate": report.fill_rate,
+        "realized_pnl_usd": report.realized_pnl_usd,
+        "max_drawdown_usd": report.max_drawdown_usd,
+        "miss_reasons": dict(report.miss_reasons),
+        "execution_latency_p50_ms": report.execution_latency_p50_ms,
+        "execution_latency_p95_ms": report.execution_latency_p95_ms,
+        "execution_latency_p99_ms": report.execution_latency_p99_ms,
+    }
+
+
+def persist_sweep_results(path: Path, artifacts: SweepArtifacts) -> None:
+    payload = {
+        "generated_at": datetime.now(UTC).isoformat(),
+        "train_window": (
+            {
+                "started_at": artifacts.train_window[0].isoformat(),
+                "finished_at": artifacts.train_window[1].isoformat(),
+            }
+            if artifacts.train_window is not None
+            else None
+        ),
+        "test_window": (
+            {
+                "started_at": artifacts.test_window[0].isoformat(),
+                "finished_at": artifacts.test_window[1].isoformat(),
+            }
+            if artifacts.test_window is not None
+            else None
+        ),
+        "results": [
+            {
+                "parameters": {
+                    "min_profit_threshold": result.parameters.min_profit_threshold,
+                    "trade_capital": result.parameters.trade_capital,
+                    "pair_universe": list(result.parameters.pair_universe),
+                    "staleness_threshold_seconds": result.parameters.staleness_threshold_seconds,
+                },
+                "train_report": _report_to_dict(result.train_report),
+                "test_report": _report_to_dict(result.test_report),
+                "train_score": result.train_score,
+                "test_score": result.test_score,
+                "generalization_gap_ratio": result.generalization_gap_ratio,
+                "overfit_detected": result.overfit_detected,
+                "promotion_ready": result.promotion_ready,
+                "promotion_reasons": list(result.promotion_reasons),
+                "train_event_count": result.train_event_count,
+                "test_event_count": result.test_event_count,
+            }
+            for result in artifacts.results
+        ],
+    }
+
+    path.parent.mkdir(parents=True, exist_ok=True)
+    path.write_bytes(orjson.dumps(payload, option=orjson.OPT_INDENT_2 | orjson.OPT_SORT_KEYS))

src/arbitrade/config/pairing_sync.py

@@ -0,0 +1,79 @@
+"""Sync available Kraken asset pairs into the config_pairings table."""
+
+from __future__ import annotations
+
+import asyncio
+
+import structlog
+
+from arbitrade.config.service import ConfigPairing
+from arbitrade.detection.graph import CurrencyGraph
+from arbitrade.exchange.kraken_rest import KrakenRestClient
+from arbitrade.storage.pg_store import PgStore
+from arbitrade.storage.repositories import ConfigPairingRepository
+
+_LOG = structlog.get_logger(__name__)
+
+
+async def sync_pairings_from_kraken(
+    kraken_client: KrakenRestClient,
+    store: PgStore,
+) -> dict[str, int]:
+    """Fetch all asset pairs from Kraken and upsert into config_pairings.
+
+    Returns a summary dict with 'added', 'updated', 'total' counts.
+    """
+    asset_pairs = await kraken_client.asset_pairs()
+    graph = CurrencyGraph.from_kraken_asset_pairs(asset_pairs)
+    repo = ConfigPairingRepository(store)
+
+    added = 0
+    updated = 0
+    total = 0
+
+    # Dedupe: pair_by_direction has entries for both (base,quote) and (quote,base).
+    seen_symbols: set[str] = set()
+    for (base, quote), symbol in graph.pair_by_direction.items():
+        if symbol in seen_symbols:
+            continue
+        seen_symbols.add(symbol)
+        existing = await repo.get_pairing(base, quote)
+        pairing = ConfigPairing(
+            base_asset=base,
+            quote_asset=quote,
+            enabled=existing.enabled if existing else False,
+            source="kraken",
+        )
+        try:
+            await repo.upsert_pairing(pairing)
+            total += 1
+            if existing:
+                updated += 1
+            else:
+                added += 1
+        except Exception:
+            _LOG.warning("sync_pairing_failed", base=base, quote=quote)
+
+    _LOG.info(
+        "pairing_sync_complete",
+        added=added,
+        updated=updated,
+        total=total,
+    )
+    return {"added": added, "updated": updated, "total": total}
+
+
+async def run_pairing_sync_loop(
+    kraken_client: KrakenRestClient,
+    store: PgStore,
+    stop_event: asyncio.Event,
+    interval_seconds: int = 86400,
+) -> None:
+    """Periodically sync pairings from Kraken (default daily)."""
+    await sync_pairings_from_kraken(kraken_client, store)
+    try:
+        while not stop_event.is_set():
+            await asyncio.wait_for(stop_event.wait(), timeout=interval_seconds)
+            await sync_pairings_from_kraken(kraken_client, store)
+    except (TimeoutError, asyncio.CancelledError):
+        pass

src/arbitrade/config/service.py

@@ -0,0 +1,231 @@
+from __future__ import annotations
+
+from datetime import datetime
+from typing import Any
+
+import orjson
+from pydantic import BaseModel
+
+from arbitrade.config.settings import Settings
+from arbitrade.storage.pg_store import PgStore
+
+
+class ConfigSection(BaseModel):
+    id: int | None = None
+    name: str
+    description: str | None = None
+    updated_at: datetime | None = None
+
+
+class ConfigSetting(BaseModel):
+    key: str
+    section: str
+    value_json: str
+    value_type: str
+    is_secret: bool = False
+    is_runtime_reloadable: bool = False
+    updated_at: datetime | None = None
+    updated_by: str | None = None
+
+
+class ConfigPairing(BaseModel):
+    id: int | None = None
+    base_asset: str
+    quote_asset: str
+    enabled: bool = True
+    source: str
+    created_at: datetime | None = None
+    updated_at: datetime | None = None
+
+
+class ConfigBacktestingDefaults(BaseModel):
+    starting_balances: dict[str, float] | None = None
+    trade_capital: float | None = None
+    min_profit_threshold: float | None = None
+    slippage_bps: int | None = None
+    execution_latency_ms: int | None = None
+
+
+class ConfigurationService:
+    """Manages application configuration from environment and database sources."""
+
+    def __init__(self, settings: Settings, store: PgStore, audit_repo: Any) -> None:
+        self._settings = settings
+        self._store = store
+        self._audit_repo = audit_repo
+        self._config_version = 0
+        self._loaded_settings: dict[str, Any] = {}
+        self._last_updated_at: datetime | None = None
+
+    async def load_database_settings(self) -> None:
+        """Load user settings from database and merge with defaults."""
+        # Import here to avoid circular imports
+        from arbitrade.storage.repositories import ConfigSettingRepository
+
+        setting_repo = ConfigSettingRepository(self._store)
+
+        # Load all settings from database
+        db_settings = await setting_repo.list_settings()
+
+        # Convert to dictionary for easy access
+        for setting in db_settings:
+            # Parse JSON value based on type
+            if setting.value_type == "str":
+                parsed_value = setting.value_json
+            elif setting.value_type == "int":
+                parsed_value = int(setting.value_json)  # type: ignore
+            elif setting.value_type == "float":
+                parsed_value = float(setting.value_json)  # type: ignore
+            elif setting.value_type == "bool":
+                parsed_value = setting.value_json.lower() == "true"  # type: ignore
+            elif setting.value_type == "list":
+                parsed_value = orjson.loads(setting.value_json)
+            elif setting.value_type == "dict":
+                parsed_value = orjson.loads(setting.value_json)
+            else:
+                parsed_value = setting.value_json
+
+            self._loaded_settings[setting.key] = parsed_value
+
+        # Track the latest update time
+        if db_settings:
+            latest_updated = max(
+                setting.updated_at for setting in db_settings if setting.updated_at
+            )
+            self._last_updated_at = latest_updated
+
+        # Initialize with default values from settings model
+        self._initialize_default_settings()
+
+    def _initialize_default_settings(self) -> None:
+        """Initialize default settings from the Settings model."""
+        # This is a placeholder - in a real implementation we'd map
+        # the Settings model fields to config keys
+        pass
+
+    def get_setting(self, key: str, default: Any = None) -> Any:
+        """Get a configuration setting value."""
+        return self._loaded_settings.get(key, default)
+
+    def get_config_version(self) -> int:
+        """Get the current configuration version for hot-reloading."""
+        return self._config_version
+
+    def get_last_updated_at(self) -> datetime | None:
+        """Get the timestamp of the last configuration update."""
+        return self._last_updated_at
+
+    async def is_config_outdated(self) -> bool:
+        """Check if configuration has been updated since last load."""
+        # Import here to avoid circular imports
+        from arbitrade.storage.repositories import ConfigSettingRepository
+
+        setting_repo = ConfigSettingRepository(self._store)
+
+        # Get the latest update timestamp from database
+        latest_db_update = await setting_repo.get_latest_updated_at()
+
+        # Compare with our last loaded timestamp
+        if latest_db_update and self._last_updated_at:
+            return latest_db_update > self._last_updated_at
+        elif latest_db_update:
+            return True
+        return False
+
+    async def reload_if_changed(self) -> bool:
+        """Reload configuration if it has been updated in the database."""
+        if await self.is_config_outdated():
+            await self.load_database_settings()
+            self._config_version += 1
+            return True
+        return False
+
+    async def set_setting(self, key: str, value: Any, updated_by: str | None = None) -> None:
+        """Set a configuration setting value and persist to database."""
+        # Import here to avoid circular imports
+        from arbitrade.storage.repositories import ConfigSettingRepository
+
+        setting_repo = ConfigSettingRepository(self._store)
+
+        # Convert value to JSON string and determine type
+        if isinstance(value, str):
+            value_json = value
+            value_type = "str"
+        elif isinstance(value, int):
+            value_json = str(value)
+            value_type = "int"
+        elif isinstance(value, float):
+            value_json = str(value)
+            value_type = "float"
+        elif isinstance(value, bool):
+            value_json = str(value).lower()
+            value_type = "bool"
+        elif isinstance(value, list):
+            value_json = orjson.dumps(value).decode("utf-8")
+            value_type = "list"
+        elif isinstance(value, dict):
+            value_json = orjson.dumps(value).decode("utf-8")
+            value_type = "dict"
+        else:
+            value_json = str(value)
+            value_type = "str"
+
+        # Create or update setting
+        setting = ConfigSetting(
+            key=key,
+            section="general",  # Default section
+            value_json=value_json,
+            value_type=value_type,
+            is_secret=False,
+            is_runtime_reloadable=False,
+            updated_by=updated_by,
+        )
+
+        # Check if setting exists
+        existing_setting = await setting_repo.get_setting(key)
+        if existing_setting:
+            # Update existing setting
+            updated_setting = await setting_repo.update_setting(key, setting)
+        else:
+            # Create new setting
+            updated_setting = await setting_repo.create_setting(setting)
+
+        # Update in-memory cache
+        self._loaded_settings[key] = value
+
+        # Update version for hot reloading
+        self._config_version += 1
+
+        # Update last updated timestamp
+        self._last_updated_at = updated_setting.updated_at
+
+    def get_all_settings(self) -> dict[str, Any]:
+        """Get all configuration settings."""
+        return self._loaded_settings.copy()
+
+    # --- Pairing & Fee Management ---
+
+    def _pairing_repo(self):  # type: ignore
+        from arbitrade.storage.repositories import ConfigPairingRepository
+
+        return ConfigPairingRepository(self._store)
+
+    async def list_pairings(self) -> list[ConfigPairing]:
+        """List all currency pairings."""
+        r = self._pairing_repo()  # type: ignore[no-untyped-call]
+        p = await r.list_pairings()
+        return p  # type: ignore[no-any-return]
+
+    async def create_pairing(
+        self, base_asset: str, quote_asset: str, source: str = "manual"
+    ) -> ConfigPairing:
+        """Create a new currency pairing."""
+        r = self._pairing_repo()  # type: ignore[no-untyped-call]
+        e = await r.get_pairing(base_asset, quote_asset)
+        if e:
+            return e  # type: ignore[no-any-return]
+        pairing = ConfigPairing(
+            base_asset=base_asset, quote_asset=quote_asset, enabled=True, source=source
+        )
+        p = r.create_pairing(pairing)
+        return p  # type: ignore[no-any-return]

src/arbitrade/config/settings.py

@@ -1,7 +1,6 @@
 from __future__ import annotations
 
 from functools import lru_cache
-from pathlib import Path
 
 from pydantic import Field, field_validator, model_validator
 from pydantic_settings import BaseSettings, SettingsConfigDict
@@ -17,7 +16,7 @@ class Settings(BaseSettings):
 
     app_env: str = Field(default="dev", alias="APP_ENV")
     app_host: str = Field(default="0.0.0.0", alias="APP_HOST")
-    app_port: int = Field(default=8000, alias="APP_PORT")
+    app_port: int = Field(default=9090, alias="APP_PORT")
 
     log_level: str = Field(default="INFO", alias="LOG_LEVEL")
     log_json: bool = Field(default=True, alias="LOG_JSON")
@@ -55,7 +54,14 @@ class Settings(BaseSettings):
     email_alert_to: str | None = Field(default=None, alias="EMAIL_ALERT_TO")
     email_smtp_use_tls: bool = Field(default=True, alias="EMAIL_SMTP_USE_TLS")
 
-    duckdb_path: Path = Field(default=Path("./data/arbitrade.duckdb"), alias="DUCKDB_PATH")
+    # PostgreSQL connection settings
+    pg_host: str = Field(default="192.168.88.35", alias="PG_HOST")
+    pg_port: int = Field(default=5432, alias="PG_PORT")
+    pg_database: str = Field(default="arbitrade", alias="PG_DATABASE")
+    pg_user: str = Field(default="arbitrade", alias="PG_USER")
+    pg_password: str = Field(default="arbitrade", alias="PG_PASSWORD")
+    pg_min_connections: int = Field(default=2, alias="PG_MIN_CONNECTIONS")
+    pg_max_connections: int = Field(default=10, alias="PG_MAX_CONNECTIONS")
 
     kraken_rest_url: str = Field(default="https://api.kraken.com", alias="KRAKEN_REST_URL")
     kraken_ws_url: str = Field(default="wss://ws.kraken.com/v2", alias="KRAKEN_WS_URL")
@@ -75,6 +81,26 @@ class Settings(BaseSettings):
     )
     ws_heartbeat_timeout_seconds: float = Field(default=20.0, alias="WS_HEARTBEAT_TIMEOUT_SECONDS")
     ws_max_staleness_seconds: float = Field(default=5.0, alias="WS_MAX_STALENESS_SECONDS")
+    strategy_enable_stat_arb_experiment: bool = Field(
+        default=False,
+        alias="STRATEGY_ENABLE_STAT_ARB_EXPERIMENT",
+    )
+    strategy_stat_arb_lookback_window: int = Field(
+        default=120,
+        alias="STRATEGY_STAT_ARB_LOOKBACK_WINDOW",
+    )
+    strategy_stat_arb_entry_zscore: float = Field(
+        default=2.0,
+        alias="STRATEGY_STAT_ARB_ENTRY_ZSCORE",
+    )
+    strategy_stat_arb_exit_zscore: float = Field(
+        default=0.5,
+        alias="STRATEGY_STAT_ARB_EXIT_ZSCORE",
+    )
+    strategy_stat_arb_max_holding_seconds: float = Field(
+        default=900.0,
+        alias="STRATEGY_STAT_ARB_MAX_HOLDING_SECONDS",
+    )
     paper_trading_mode: bool = Field(default=True, alias="PAPER_TRADING_MODE")
     trade_capital_usd: float = Field(default=100.0, alias="TRADE_CAPITAL_USD")
     max_trade_capital_usd: float = Field(default=100.0, alias="MAX_TRADE_CAPITAL_USD")
@@ -139,6 +165,19 @@ class Settings(BaseSettings):
         if self.alert_dedup_seconds < 0.0:
             raise ValueError("ALERT_DEDUP_SECONDS must be >= 0")
 
+        if self.strategy_stat_arb_lookback_window < 2:
+            raise ValueError("STRATEGY_STAT_ARB_LOOKBACK_WINDOW must be >= 2")
+        if self.strategy_stat_arb_entry_zscore <= 0.0:
+            raise ValueError("STRATEGY_STAT_ARB_ENTRY_ZSCORE must be > 0")
+        if self.strategy_stat_arb_exit_zscore < 0.0:
+            raise ValueError("STRATEGY_STAT_ARB_EXIT_ZSCORE must be >= 0")
+        if self.strategy_stat_arb_entry_zscore <= self.strategy_stat_arb_exit_zscore:
+            raise ValueError(
+                "STRATEGY_STAT_ARB_ENTRY_ZSCORE must be greater than STRATEGY_STAT_ARB_EXIT_ZSCORE"
+            )
+        if self.strategy_stat_arb_max_holding_seconds <= 0.0:
+            raise ValueError("STRATEGY_STAT_ARB_MAX_HOLDING_SECONDS must be > 0")
+
         return self
 
 

src/arbitrade/dashboard/__init__.py

@@ -0,0 +1 @@
+"""Dashboard module for monitoring and controlling the arbitrage bot."""

src/arbitrade/dashboard/context.py

@@ -0,0 +1,63 @@
+from __future__ import annotations
+
+from fastapi import Request
+
+from arbitrade.storage.repositories import (
+    BacktestJobRepository,
+)
+
+
+async def _recent_backtest_reports(request: Request) -> list[dict[str, object]]:
+    repo = BacktestJobRepository(request.app.state.store)
+    jobs = await repo.list_jobs(limit=5)
+    reports = []
+    for job in jobs:
+        report: dict[str, object] = {
+            "id": str(job.id),
+            "status": job.status,
+        }
+        if job.created_at is not None:
+            report["created_at"] = job.created_at.isoformat()
+        if job.finished_at is not None:
+            report["finished_at"] = job.finished_at.isoformat()
+        reports.append(report)
+    return reports
+
+
+async def _backtesting_panel_context(
+    request: Request,
+    *,
+    status: str = "idle",
+    message: str = "Configure a replay run and execute backtest.",
+    latest_report: dict[str, object] | None = None,
+    defaults: dict[str, str] | None = None,
+) -> dict[str, object]:
+    default_values = {
+        "symbols": "",
+        "start_time": "",
+        "end_time": "",
+        "starting_balances": "USD=1000.0",
+        "trade_capital": "100.0",
+        "min_profit_threshold": "0.0005",
+        "fee_profile": "api",
+        "custom_fee_rate": "",
+        "slippage_bps": "4.0",
+        "execution_latency_ms": "20.0",
+    }
+    if defaults is not None:
+        default_values.update(defaults)
+
+    reports = await _recent_backtest_reports(request)
+    latest = latest_report or (reports[0] if reports else None)
+
+    return {
+        "status": status,
+        "message": message,
+        "flash_message": "",
+        "no_enabled_pairings": False,
+        "latest_report": latest,
+        "recent_reports": reports,
+        "run_endpoint": "/dashboard/backtesting/run",
+        "reports_endpoint": "/dashboard/api/backtesting/reports",
+        **default_values,
+    }

src/arbitrade/detection/benchmark.py

@@ -47,7 +47,7 @@ def _build_detector_and_books() -> tuple[IncrementalCycleDetector, dict[str, Ord
 
     detector = IncrementalCycleDetector(
         index,
-        fee_rate=0.001,
+        fee_rate=0.001,  # synthetic benchmark: uses fixed rate, not API-sourced
         min_profit_threshold=0.001,
         max_depth_levels=5,
         max_book_age_seconds=10.0,

src/arbitrade/exchange/fee_service.py

@@ -0,0 +1,142 @@
+"""Fee service -- fetch Kraken account fee tier, sync pair fees, persist snapshots."""
+
+from __future__ import annotations
+
+import asyncio
+from datetime import UTC, datetime
+
+import orjson
+import structlog
+
+from arbitrade.exchange.kraken_rest import KrakenRestClient
+from arbitrade.storage.pg_store import PgStore
+from arbitrade.storage.repositories import (
+    KrakenAccountSnapshot,
+    KrakenAccountSnapshotRepository,
+)
+
+_LOG = structlog.get_logger(__name__)
+
+_FEE_REFRESH_INTERVAL_SECONDS = 86400  # 1 day
+
+
+async def fetch_and_store_account_snapshot(
+    client: KrakenRestClient,
+    store: PgStore,
+) -> KrakenAccountSnapshot | None:
+    """Query TradeVolume + TradeBalance, persist as snapshot.
+
+    Returns the snapshot or None if either call failed.
+    """
+    repo = KrakenAccountSnapshotRepository(store)
+
+    try:
+        volume_data = await client.trade_volume()
+    except Exception:
+        _LOG.exception("trade_volume_fetch_failed")
+        return None
+
+    try:
+        balance_data = await client.trade_balance()
+    except Exception:
+        _LOG.exception("trade_balance_fetch_failed")
+        return None
+
+    fee_tier = volume_data.get("fee_tier") if isinstance(volume_data, dict) else None
+    fees_dict = volume_data.get("fees") if isinstance(volume_data, dict) else None
+    fees_maker = volume_data.get("fees_maker") if isinstance(volume_data, dict) else None
+    currency = volume_data.get("currency")
+    thirty_day_volume_str = volume_data.get("volume")
+
+    maker_fee = None
+    taker_fee = None
+    fee_tier_str = str(fee_tier) if fee_tier is not None else None
+
+    # Extract current tier's maker/taker rates from fees dict
+    if isinstance(fees_dict, dict) and fee_tier_str is not None:
+        tier_fees = fees_dict.get(fee_tier_str)
+        if isinstance(tier_fees, dict):
+            maker_val = tier_fees.get("maker")
+            taker_val = tier_fees.get("taker")
+            maker_fee = float(maker_val) if maker_val is not None else None
+            taker_fee = float(taker_val) if taker_val is not None else None
+
+    # Build fee schedule as combined dict
+    fee_schedule: dict[str, object] = {}
+    if isinstance(fees_dict, dict):
+        fee_schedule["fees"] = fees_dict
+    if isinstance(fees_maker, dict):
+        fee_schedule["fees_maker"] = fees_maker
+    if currency is not None:
+        fee_schedule["currency"] = currency
+
+    thirty_day_volume = float(thirty_day_volume_str) if thirty_day_volume_str is not None else None
+
+    snapshot = KrakenAccountSnapshot(
+        snapshot_at=datetime.now(UTC),
+        fee_tier=fee_tier_str,
+        maker_fee=maker_fee,
+        taker_fee=taker_fee,
+        thirty_day_volume=thirty_day_volume,
+        trade_balance_raw=balance_data if isinstance(balance_data, dict) else None,
+        fee_schedule_raw=fee_schedule if fee_schedule else None,
+    )
+
+    await repo.insert_snapshot(snapshot)
+    _LOG.info(
+        "account_snapshot_stored",
+        fee_tier=fee_tier_str,
+        maker_fee=maker_fee,
+        taker_fee=taker_fee,
+    )
+
+    # Fetch wallet balances and write to portfolio_snapshots
+    try:
+        wallet_balances = await client.balances()
+        total_value = 0.0
+        if isinstance(balance_data, dict):
+            eb = balance_data.get("eb")
+            total_value = float(eb) if eb is not None else 0.0
+        async with store.pool.acquire() as conn:
+            await conn.execute(
+                "INSERT INTO portfolio_snapshots"
+                " (snapshot_at, balances, total_value_usd) VALUES ($1, $2, $3)",
+                datetime.now(UTC),
+                orjson.dumps(wallet_balances).decode("utf-8") if wallet_balances else None,
+                total_value,
+            )
+        _LOG.info("portfolio_snapshot_stored", total_value_usd=total_value)
+    except Exception:
+        _LOG.exception("balances_fetch_or_store_failed")
+
+    return snapshot
+
+
+async def run_fee_sync_loop(
+    client: KrakenRestClient,
+    store: PgStore,
+    stop_event: asyncio.Event,
+) -> None:
+    """Periodic loop: fetch account snapshot every hour.
+
+    Runs until stop_event is set.
+    """
+    _LOG.info("fee_sync_loop_started", interval_s=_FEE_REFRESH_INTERVAL_SECONDS)
+
+    while not stop_event.is_set():
+        try:
+            await fetch_and_store_account_snapshot(client, store)
+        except Exception:
+            _LOG.exception("fee_sync_loop_iteration_failed")
+
+        # Wait with stop_event check
+        try:
+            await asyncio.wait_for(
+                stop_event.wait(),
+                timeout=_FEE_REFRESH_INTERVAL_SECONDS,
+            )
+            break  # stop_event was set
+        except TimeoutError:
+            pass  # timeout elapsed, loop again
+
+    _LOG.info("fee_sync_loop_stopped")

src/arbitrade/exchange/kraken_rest.py

@@ -279,3 +279,34 @@ class KrakenRestClient:
             "/0/private/CancelOrder",
             data={"txid": order_id},
         )
+
+    async def trade_volume(self, *, pair: str | None = None) -> dict[str, Any]:
+        """Query Kraken TradeVolume for fee tier, 30d volume, and fee schedule.
+
+        Returns dict with keys: currency, volume, fees (dict of tiers),
+        fees_maker (dict of tier->fee mappings), fee_tier (current tier).
+        If pair provided, returns pair-specific fee info.
+        """
+        data: dict[str, str] = {}
+        if pair is not None:
+            data["pair"] = pair
+        return await self._throttled_private_call(
+            "/0/private/TradeVolume",
+            data=data if data else None,
+        )
+
+    async def trade_balance(self, *, asset: str | None = None) -> dict[str, Any]:
+        """Query Kraken TradeBalance for equity, trade balance, margin info.
+
+        Returns dict with keys: eb (equivalent balance/equity),
+        tb (trade balance), m (margin amount), n (unrealized net P&L),
+        c (cost basis), v (current valuation), e (equity).
+        If asset provided, returns asset-class-specific balance.
+        """
+        data: dict[str, str] = {}
+        if asset is not None:
+            data["asset"] = asset
+        return await self._throttled_private_call(
+            "/0/private/TradeBalance",
+            data=data if data else None,
+        )

src/arbitrade/exchange/kraken_ws.py

@@ -32,6 +32,7 @@ class KrakenWsClient:
         self._alert_notifier = alert_notifier
         self._has_connected_once = False
         self._was_disconnected = False
+        self._subscribed_symbols: list[str] = []
 
     @property
     def is_stale(self) -> bool:
@@ -44,29 +45,63 @@ class KrakenWsClient:
     async def stop(self) -> None:
         self._stop.set()
 
+    def set_subscribed_symbols(self, symbols: list[str]) -> None:
+        """Set the list of symbols to subscribe to on (re)connect."""
+        self._subscribed_symbols = list(symbols)
+
+    async def _subscribe(self, ws: Any) -> None:
+        """Send Kraken WS v2 subscribe message for book channel."""
+        if not self._subscribed_symbols:
+            _LOG.warning("kraken_ws_no_symbols_to_subscribe")
+            return
+        depth = 10
+        if hasattr(self._settings, "kraken_ws_book_depth"):
+            depth = self._settings.kraken_ws_book_depth
+        msg = orjson.dumps(
+            {
+                "method": "subscribe",
+                "params": {
+                    "channel": "book",
+                    "symbol": self._subscribed_symbols,
+                    "depth": depth,
+                },
+            }
+        )
+        await ws.send(msg)
+        _LOG.info(
+            "kraken_ws_subscribed",
+            symbol_count=len(self._subscribed_symbols),
+            symbols=self._subscribed_symbols,
+        )
+
     async def connect_stream(self) -> AsyncIterator[WsMessage]:
         delay = 1.0
         while not self._stop.is_set():
             try:
-                async with websockets.connect(
+                url = self._settings.kraken_ws_url
-                    self._settings.kraken_ws_url, max_size=2_000_000
+                async with websockets.connect(url, max_size=2_000_000) as ws:
-                ) as ws:
+                    _LOG.info("kraken_ws_connected", url=url)
-                    _LOG.info("kraken_ws_connected", url=self._settings.kraken_ws_url)
                     if self._has_connected_once and self._was_disconnected:
                         await self._notify(
                             category="system",
                             severity="info",
                             title="WebSocket reconnected",
                             message="Kraken WebSocket connection restored.",
-                            details={"url": self._settings.kraken_ws_url},
+                            details={"url": url},
                         )
                     self._has_connected_once = True
                     self._was_disconnected = False
                     delay = 1.0
+                    await self._subscribe(ws)
                     async for raw in self._recv_loop(ws):
                         yield raw
             except Exception as exc:
-                _LOG.warning("kraken_ws_disconnected", error=str(exc), reconnect_in=delay)
+                log = (
+                    "kraken_ws_disconnected_first_time"
+                    if not self._has_connected_once
+                    else "kraken_ws_disconnected"
+                )
+                _LOG.warning(log, error=str(exc), reconnect_in=delay)
                 self._was_disconnected = True
                 await self._notify(
                     category="system",

src/arbitrade/execution/sequencer.py

@@ -158,7 +158,7 @@ class TriangularExecutionSequencer:
                 )
             except Exception as exc:
                 if self._audit_repository is not None:
-                    self._audit_repository.insert(
+                    await self._audit_repository.insert(
                         AuditRecord(
                             occurred_at=datetime.now(UTC),
                             actor="execution_engine",
@@ -265,7 +265,7 @@ class TriangularExecutionSequencer:
             )
 
         if self._audit_repository is not None:
-            self._audit_repository.insert(
+            await self._audit_repository.insert(
                 AuditRecord(
                     occurred_at=datetime.now(UTC),
                     actor="execution_engine",

src/arbitrade/logging/__init__.py

@@ -0,0 +1 @@
+"""Logging package — DB sink, maintenance tasks."""

src/arbitrade/logging/db_sink.py

@@ -0,0 +1,119 @@
+"""DB sink — writes structlog events to app_logs table via background queue."""
+
+from __future__ import annotations
+
+import asyncio
+from datetime import UTC, datetime
+from typing import Any
+
+import structlog
+
+from arbitrade.storage.pg_store import PgStore
+from arbitrade.storage.repositories import LogRecord, LogRepository
+
+_LOG = structlog.get_logger(__name__)
+
+
+class DbSinkProcessor:
+    """structlog processor that queues log events for DB writes.
+
+    Must be registered in the structlog processor chain. The consumer
+    task must be started on app init via ``start_consumer(store)``.
+    """
+
+    def __init__(self) -> None:
+        self._queue: asyncio.Queue[dict[str, Any]] = asyncio.Queue(maxsize=2000)
+        self._consumer_task: asyncio.Task[None] | None = None
+
+    def __call__(self, logger: Any, method_name: str, event_dict: dict[str, Any]) -> dict[str, Any]:
+        """Processor — called for every structlog event. Non-blocking."""
+        try:
+            self._queue.put_nowait(dict(event_dict))
+        except asyncio.QueueFull:
+            pass  # drop event if queue full, avoid backpressure
+        return event_dict
+
+    def start_consumer(self, store: PgStore) -> None:
+        """Start background consumer task."""
+        if self._consumer_task is not None and not self._consumer_task.done():
+            return
+        self._consumer_task = asyncio.create_task(self._consume(store), name="log_db_sink")
+
+    async def stop_consumer(self) -> None:
+        """Drain queue and cancel consumer."""
+        if self._consumer_task is None:
+            return
+        self._consumer_task.cancel()
+        try:
+            await self._consumer_task
+        except asyncio.CancelledError:
+            pass
+        self._consumer_task = None
+        # Flush remaining
+        await self._flush(store=None)  # type: ignore[call-arg]
+
+    async def _consume(self, store: PgStore) -> None:
+        repo = LogRepository(store)
+        while True:
+            try:
+                event = await self._queue.get()
+                await self._write_one(repo, event)
+            except asyncio.CancelledError:
+                break
+            except Exception:
+                pass  # swallow consumer errors, never crash
+        # Final flush
+        await self._flush(repo)
+
+    async def _write_one(self, repo: LogRepository, event: dict[str, Any]) -> None:
+        recorded_at = event.pop("timestamp", None)
+        if isinstance(recorded_at, str):
+            try:
+                recorded_at = datetime.fromisoformat(recorded_at)
+            except ValueError:
+                recorded_at = datetime.now(UTC)
+        elif not isinstance(recorded_at, datetime):
+            recorded_at = datetime.now(UTC)
+
+        level = str(event.pop("level", "info")).upper()
+        logger = str(event.pop("logger", "root"))
+        message = str(event.pop("event", event.pop("message", "")))
+        context = {k: v for k, v in event.items() if not k.startswith("_")} if event else None
+
+        record = LogRecord(
+            recorded_at=recorded_at,
+            level=level,
+            logger=logger,
+            message=message,
+            context=context if context else None,
+        )
+        try:
+            await repo.insert(record)
+        except Exception:
+            pass  # never crash from DB write failure
+
+    async def _flush(self, repo: LogRepository | None) -> None:
+        drained = 0
+        while not self._queue.empty() and drained < 500:
+            try:
+                event = self._queue.get_nowait()
+                if repo is not None:
+                    await self._write_one(repo, event)
+                drained += 1
+            except asyncio.QueueEmpty:
+                break
+            except Exception:
+                pass
+
+
+# Module-level singleton
+_db_sink = DbSinkProcessor()
+
+
+def get_db_sink() -> DbSinkProcessor:
+    return _db_sink
+
+
+def db_sink_processor(logger: Any, method_name: str, event_dict: dict[str, Any]) -> dict[str, Any]:
+    """Standalone processor function wrapping the singleton."""
+    return _db_sink(logger, method_name, event_dict)

src/arbitrade/logging/maintenance.py

@@ -0,0 +1,60 @@
+"""Log maintenance — aggregation and archiving tasks."""
+
+from __future__ import annotations
+
+import asyncio
+from datetime import UTC, datetime, timedelta
+
+import structlog
+
+from arbitrade.storage.pg_store import PgStore
+from arbitrade.storage.repositories import LogAggregationRepository, LogArchiveRepository
+
+_LOG = structlog.get_logger(__name__)
+
+_AGGREGATE_INTERVAL = 3600  # 1 hour
+_ARCHIVE_INTERVAL = 86400  # 1 day
+_RETENTION_DAYS = 30
+
+
+async def run_log_aggregation(store: PgStore) -> None:
+    """Aggregate log counts for the last 2 hours across all periods."""
+    repo = LogAggregationRepository(store)
+    since = datetime.now(UTC) - timedelta(hours=2)
+    periods = ["1h", "1d", "1w", "1mo"]
+    for period in periods:
+        try:
+            await repo.aggregate_since(since, period)
+        except Exception:
+            _LOG.exception("log_aggregation_failed", period=period)
+    _LOG.info("log_aggregation_complete", since=since.isoformat())
+
+
+async def run_log_archive(store: PgStore, retention_days: int = _RETENTION_DAYS) -> int:
+    """Archive log entries older than retention_days."""
+    cutoff = datetime.now(UTC) - timedelta(days=retention_days)
+    repo = LogArchiveRepository(store)
+    count = await repo.archive_before(cutoff)
+    if count > 0:
+        _LOG.info("log_archive_complete", cutoff=cutoff.isoformat(), archived=count)
+    return count
+
+
+async def run_log_aggregation_loop(store: PgStore) -> None:
+    """Periodic aggregation loop."""
+    while True:
+        try:
+            await run_log_aggregation(store)
+        except Exception:
+            _LOG.exception("log_aggregation_loop_error")
+        await asyncio.sleep(_AGGREGATE_INTERVAL)
+
+
+async def run_log_archive_loop(store: PgStore) -> None:
+    """Periodic archive loop."""
+    while True:
+        try:
+            await run_log_archive(store)
+        except Exception:
+            _LOG.exception("log_archive_loop_error")
+        await asyncio.sleep(_ARCHIVE_INTERVAL)

src/arbitrade/logging_setup.py

@@ -6,6 +6,8 @@ from typing import Any
 
 import structlog
 
+from arbitrade.logging.db_sink import db_sink_processor
+
 
 def configure_logging(log_level: str = "INFO", json_logs: bool = True) -> None:
     level = getattr(logging, log_level.upper(), logging.INFO)
@@ -17,6 +19,7 @@ def configure_logging(log_level: str = "INFO", json_logs: bool = True) -> None:
         structlog.stdlib.add_log_level,
         structlog.stdlib.add_logger_name,
         timestamper,
+        db_sink_processor,
     ]
 
     if json_logs:

src/arbitrade/market_data/feed.py

@@ -144,7 +144,7 @@ class MarketDataFeed:
                         symbol=delta.symbol,
                     )
                     if self._audit_repository is not None:
-                        self._audit_repository.insert(
+                        await self._audit_repository.insert(
                             AuditRecord(
                                 occurred_at=datetime.now(UTC),
                                 actor="risk_manager",
@@ -172,7 +172,7 @@ class MarketDataFeed:
 
                 for event in opportunities:
                     if self._audit_repository is not None:
-                        self._audit_repository.insert(
+                        await self._audit_repository.insert(
                             AuditRecord(
                                 occurred_at=datetime.now(UTC),
                                 actor="detector",
@@ -207,7 +207,7 @@ class MarketDataFeed:
                             net_pct=event.net_pct,
                         )
                         if self._audit_repository is not None:
-                            self._audit_repository.insert(
+                            await self._audit_repository.insert(
                                 AuditRecord(
                                     occurred_at=datetime.now(UTC),
                                     actor="execution_engine",
@@ -228,7 +228,7 @@ class MarketDataFeed:
                             updated_pair=event.updated_pair,
                         )
                         if self._audit_repository is not None:
-                            self._audit_repository.insert(
+                            await self._audit_repository.insert(
                                 AuditRecord(
                                     occurred_at=datetime.now(UTC),
                                     actor="execution_engine",
@@ -250,7 +250,7 @@ class MarketDataFeed:
                             reason=self._kill_switch.reason,
                         )
                         if self._audit_repository is not None:
-                            self._audit_repository.insert(
+                            await self._audit_repository.insert(
                                 AuditRecord(
                                     occurred_at=datetime.now(UTC),
                                     actor="risk_manager",
@@ -275,7 +275,7 @@ class MarketDataFeed:
                             reason=self._stop_conditions_guard.halted_reason,
                         )
                         if self._audit_repository is not None:
-                            self._audit_repository.insert(
+                            await self._audit_repository.insert(
                                 AuditRecord(
                                     occurred_at=datetime.now(UTC),
                                     actor="risk_manager",
@@ -298,7 +298,7 @@ class MarketDataFeed:
                             reason=self._loss_limit_guard.halted_reason,
                         )
                         if self._audit_repository is not None:
-                            self._audit_repository.insert(
+                            await self._audit_repository.insert(
                                 AuditRecord(
                                     occurred_at=datetime.now(UTC),
                                     actor="risk_manager",
@@ -329,7 +329,7 @@ class MarketDataFeed:
                                 required_by_asset=required_balances,
                             )
                             if self._audit_repository is not None:
-                                self._audit_repository.insert(
+                                await self._audit_repository.insert(
                                     AuditRecord(
                                         occurred_at=datetime.now(UTC),
                                         actor="risk_manager",
@@ -358,7 +358,7 @@ class MarketDataFeed:
                             exposure_by_asset=exposure_by_asset,
                         )
                         if self._audit_repository is not None:
-                            self._audit_repository.insert(
+                            await self._audit_repository.insert(
                                 AuditRecord(
                                     occurred_at=datetime.now(UTC),
                                     actor="risk_manager",
@@ -420,7 +420,7 @@ class MarketDataFeed:
                             updated_pair=event.updated_pair,
                         )
                         if self._audit_repository is not None:
-                            self._audit_repository.insert(
+                            await self._audit_repository.insert(
                                 AuditRecord(
                                     occurred_at=datetime.now(UTC),
                                     actor="execution_engine",
@@ -459,7 +459,7 @@ class MarketDataFeed:
                         self._trade_limits_guard.close_trade(exposure_by_asset)
 
                     if self._audit_repository is not None:
-                        self._audit_repository.insert(
+                        await self._audit_repository.insert(
                             AuditRecord(
                                 occurred_at=datetime.now(UTC),
                                 actor="execution_engine",

src/arbitrade/market_data/feed_builder.py

@@ -0,0 +1,62 @@
+"""Build production MarketDataFeed components from enabled pairings."""
+
+from __future__ import annotations
+
+import structlog
+
+from arbitrade.detection.engine import IncrementalCycleDetector
+from arbitrade.detection.graph import CurrencyGraph
+from arbitrade.storage.pg_store import PgStore
+from arbitrade.storage.repositories import ConfigPairingRepository
+
+_LOG = structlog.get_logger(__name__)
+
+
+async def build_detector_from_enabled_pairings(
+    store: PgStore,
+    *,
+    fee_rate: float = 0.0,
+    max_depth_levels: int = 10,
+    min_profit_threshold: float = 0.0005,
+) -> IncrementalCycleDetector | None:
+    """Build an IncrementalCycleDetector using only enabled pairings from DB.
+
+    Returns None if no enabled pairings exist.
+    """
+    repo = ConfigPairingRepository(store)
+    pairings = await repo.list_pairings(enabled_only=True)
+    if not pairings:
+        _LOG.warning("no_enabled_pairings_found_detector_not_created")
+        return None
+
+    # Build CurrencyGraph from enabled pairings and discover cycles
+    graph = CurrencyGraph()
+    for p in pairings:
+        symbol = f"{p.base_asset}/{p.quote_asset}"
+        graph.add_pair(p.base_asset, p.quote_asset, symbol)
+
+    cycles = graph.triangular_cycles()
+    if not cycles:
+        _LOG.warning("no_triangular_cycles_from_enabled_pairings")
+        return None
+
+    cycles_by_pair = graph.index_cycles_by_pair(cycles)
+    _LOG.info(
+        "detector_built_from_enabled_pairings",
+        enabled_count=len(pairings),
+        cycle_count=len(cycles),
+    )
+
+    return IncrementalCycleDetector(
+        cycles_by_pair,
+        fee_rate=fee_rate,
+        max_depth_levels=max_depth_levels,
+        min_profit_threshold=min_profit_threshold,
+    )
+
+
+async def get_enabled_pair_symbols(store: PgStore) -> list[str]:
+    """Return list of enabled pair symbols (e.g. ['BTC/USD', 'ETH/BTC'])."""
+    repo = ConfigPairingRepository(store)
+    pairings = await repo.list_pairings(enabled_only=True)
+    return [f"{p.base_asset}/{p.quote_asset}" for p in pairings if p.enabled]

src/arbitrade/metrics.py

@@ -3,7 +3,7 @@ from __future__ import annotations
 from dataclasses import dataclass
 from datetime import datetime
 
-from arbitrade.storage.db import DuckDBStore
+from arbitrade.storage.pg_store import PgStore
 
 
 @dataclass(frozen=True, slots=True)
@@ -19,114 +19,103 @@ class PerformanceMetrics:
 
 
 class MetricsCalculator:
-    def __init__(self, store: DuckDBStore) -> None:
+    def __init__(self, store: PgStore) -> None:
         self._store = store
 
-    def compute(self) -> PerformanceMetrics:
+    async def compute(self) -> PerformanceMetrics:
-        with self._store.connect() as conn:
+        async with self._store.pool.acquire() as conn:
-            trade_metrics = conn.execute("""
+            tm = await conn.fetchrow("""
                 SELECT
                     COALESCE(SUM(COALESCE(realized_pnl, 0)), 0) AS realized_pnl_usd,
                     COUNT(*) AS total_trades,
                     SUM(CASE WHEN realized_pnl > 0 THEN 1 ELSE 0 END) AS winning_trades,
-                    AVG(EPOCH(finished_at) - EPOCH(started_at)) AS avg_trade_duration_seconds,
+                    AVG(EXTRACT(EPOCH FROM finished_at - started_at)) AS avg_trade_duration_seconds,
-                    quantile_cont(
+                    PERCENTILE_CONT(0.50) WITHIN GROUP (ORDER BY EXTRACT(EPOCH FROM finished_at - started_at)) AS latency_p50_seconds,
-                        EPOCH(finished_at) - EPOCH(started_at),
+                    PERCENTILE_CONT(0.95) WITHIN GROUP (ORDER BY EXTRACT(EPOCH FROM finished_at - started_at)) AS latency_p95_seconds,
-                        0.50
+                    PERCENTILE_CONT(0.99) WITHIN GROUP (ORDER BY EXTRACT(EPOCH FROM finished_at - started_at)) AS latency_p99_seconds
-                    ) AS latency_p50_seconds,
-                    quantile_cont(
-                        EPOCH(finished_at) - EPOCH(started_at),
-                        0.95
-                    ) AS latency_p95_seconds,
-                    quantile_cont(
-                        EPOCH(finished_at) - EPOCH(started_at),
-                        0.99
-                    ) AS latency_p99_seconds
                 FROM trades
                 WHERE finished_at IS NOT NULL
-                """).fetchone()
+                """)
 
-            opportunity_metrics = conn.execute("""
+            om = await conn.fetchrow("""
                 SELECT
                     COUNT(*) AS opportunity_count,
                     MIN(detected_at) AS first_detected_at,
                     MAX(detected_at) AS last_detected_at
                 FROM opportunities
-                """).fetchone()
+                """)
 
-            fill_metrics = conn.execute("""
+            fm = await conn.fetchrow("""
                 SELECT AVG(filled_volume / volume) AS fill_rate
                 FROM orders
                 WHERE volume > 0 AND filled_volume IS NOT NULL
-                """).fetchone()
+                """)
 
-        realized_pnl_usd = (
+        r_pnl_usd = (
-            float(trade_metrics[0]) if trade_metrics and trade_metrics[0] is not None else 0.0
+            float(tm["realized_pnl_usd"]) if tm and tm["realized_pnl_usd"] is not None else 0.0
         )
-        total_trades = (
+        tt = int(tm["total_trades"]) if tm and tm["total_trades"] is not None else 0
-            int(trade_metrics[1]) if trade_metrics and trade_metrics[1] is not None else 0
+        wt = int(tm["winning_trades"]) if tm and tm["winning_trades"] is not None else 0
-        )
+        wr = wt / tt if tt > 0 else None
-        winning_trades = (
-            int(trade_metrics[2]) if trade_metrics and trade_metrics[2] is not None else 0
-        )
-        win_rate = winning_trades / total_trades if total_trades > 0 else None
 
-        avg_trade_duration_seconds = (
+        atd = (
-            float(trade_metrics[3]) if trade_metrics and trade_metrics[3] is not None else None
+            float(tm["avg_trade_duration_seconds"])
-        )
+            if tm and tm["avg_trade_duration_seconds"] is not None
-
-        opportunity_count = (
-            int(opportunity_metrics[0])
-            if opportunity_metrics is not None and opportunity_metrics[0] is not None
-            else 0
-        )
-        first_detected_at = (
-            opportunity_metrics[1]
-            if opportunity_metrics is not None and isinstance(opportunity_metrics[1], datetime)
             else None
         )
-        last_detected_at = (
+
-            opportunity_metrics[2]
+        oc = (
-            if opportunity_metrics is not None and isinstance(opportunity_metrics[2], datetime)
+            int(om["opportunity_count"])
+            if om is not None and om["opportunity_count"] is not None
+            else 0
+        )
+        fo = (
+            om["first_detected_at"]
+            if om is not None and isinstance(om["first_detected_at"], datetime)
+            else None
+        )
+        lo = (
+            om["last_detected_at"]
+            if om is not None and isinstance(om["last_detected_at"], datetime)
             else None
         )
 
         opportunities_per_minute: float | None
-        if (
+        if oc >= 2 and fo is not None and lo is not None:
-            opportunity_count >= 2
+            span_seconds = (lo - fo).total_seconds()
-            and first_detected_at is not None
-            and last_detected_at is not None
-        ):
-            span_seconds = (last_detected_at - first_detected_at).total_seconds()
             opportunities_per_minute = (
-                opportunity_count / (span_seconds / 60.0)
+                oc / (span_seconds / 60.0) if span_seconds > 0.0 else float(oc)
-                if span_seconds > 0.0
-                else float(opportunity_count)
             )
-        elif opportunity_count == 1:
+        elif oc == 1:
             opportunities_per_minute = 60.0
         else:
             opportunities_per_minute = None
 
-        fill_rate = float(fill_metrics[0]) if fill_metrics and fill_metrics[0] is not None else None
+        fill_rate = float(fm["fill_rate"]) if fm and fm["fill_rate"] is not None else None
 
-        latency_p50_seconds = (
+        lp50 = (
-            float(trade_metrics[4]) if trade_metrics and trade_metrics[4] is not None else None
+            float(tm["latency_p50_seconds"])
+            if tm and tm["latency_p50_seconds"] is not None
+            else None
         )
-        latency_p95_seconds = (
+        lp95 = (
-            float(trade_metrics[5]) if trade_metrics and trade_metrics[5] is not None else None
+            float(tm["latency_p95_seconds"])
+            if tm and tm["latency_p95_seconds"] is not None
+            else None
         )
-        latency_p99_seconds = (
+        lp99 = (
-            float(trade_metrics[6]) if trade_metrics and trade_metrics[6] is not None else None
+            float(tm["latency_p99_seconds"])
+            if tm and tm["latency_p99_seconds"] is not None
+            else None
         )
 
         return PerformanceMetrics(
-            realized_pnl_usd=realized_pnl_usd,
+            realized_pnl_usd=r_pnl_usd,
-            win_rate=win_rate,
+            win_rate=wr,
-            avg_trade_duration_seconds=avg_trade_duration_seconds,
+            avg_trade_duration_seconds=atd,
             opportunities_per_minute=opportunities_per_minute,
             fill_rate=fill_rate,
-            latency_p50_seconds=latency_p50_seconds,
+            latency_p50_seconds=lp50,
-            latency_p95_seconds=latency_p95_seconds,
+            latency_p95_seconds=lp95,
-            latency_p99_seconds=latency_p99_seconds,
+            latency_p99_seconds=lp99,
         )

src/arbitrade/runtime/lifecycle.py

@@ -8,7 +8,7 @@ from typing import Any, cast
 from fastapi import FastAPI
 
 from arbitrade.api.control_state import DashboardControlState
-from arbitrade.storage.db import DuckDBStore
+from arbitrade.storage.pg_store import PgStore
 from arbitrade.storage.repositories import (
     AuditRecord,
     AuditRepository,
@@ -29,8 +29,8 @@ def _controls(app: FastAPI) -> DashboardControlState:
     return cast(DashboardControlState, app.state.dashboard_controls)
 
 
-def _store(app: FastAPI) -> DuckDBStore:
+def _store(app: FastAPI) -> PgStore:
-    return cast(DuckDBStore, app.state.store)
+    return cast(PgStore, app.state.store)
 
 
 def _audit_repository(app: FastAPI) -> AuditRepository | None:
@@ -43,34 +43,34 @@ def _runtime_repository(app: FastAPI) -> RuntimeStateRepository | None:
     return repository if isinstance(repository, RuntimeStateRepository) else None
 
 
-def _open_trade_count(store: DuckDBStore) -> int:
+async def _open_trade_count(store: PgStore) -> int:
-    with store.connect() as conn:
+    async with store.pool.acquire() as conn:
-        row = conn.execute("""
+        row = await conn.fetchrow("""
             SELECT COUNT(*)
             FROM trades
             WHERE finished_at IS NULL
-            """).fetchone()
+            """)
     return int(row[0]) if row is not None else 0
 
 
-def _latest_balances(store: DuckDBStore) -> dict[str, Any] | None:
+async def _latest_balances(store: PgStore) -> dict[str, Any] | None:
-    with store.connect() as conn:
+    async with store.pool.acquire() as conn:
-        row = conn.execute("""
+        row = await conn.fetchrow("""
             SELECT balances
             FROM portfolio_snapshots
             ORDER BY snapshot_at DESC
             LIMIT 1
-            """).fetchone()
+            """)
 
-    if row is None or row[0] is None:
+    if row is None or row["balances"] is None:
         return None
-    raw_balances = row[0]
+    raw_balances = row["balances"]
     if isinstance(raw_balances, str):
         return {"raw": raw_balances}
     return {"raw": str(raw_balances)}
 
 
-def _record_audit(
+async def _record_audit(
     app: FastAPI,
     *,
     event_type: str,
@@ -80,7 +80,7 @@ def _record_audit(
     repository = _audit_repository(app)
     if repository is None:
         return
-    repository.insert(
+    await repository.insert(
         AuditRecord(
             occurred_at=datetime.now(UTC),
             actor="runtime",
@@ -106,7 +106,9 @@ async def _run_startup_reconciler(app: FastAPI) -> None:
         await result
 
 
-def persist_runtime_snapshot(app: FastAPI, *, note: str | None = None) -> RuntimeStateRecord | None:
+async def persist_runtime_snapshot(
+    app: FastAPI, *, note: str | None = None
+) -> RuntimeStateRecord | None:
     repository = _runtime_repository(app)
     if repository is None:
         return None
@@ -118,42 +120,41 @@ def persist_runtime_snapshot(app: FastAPI, *, note: str | None = None) -> Runtim
         is_running=controls.is_running,
         kill_switch_active=controls.kill_switch.is_active,
         kill_switch_reason=controls.kill_switch.reason,
-        open_trade_count=_open_trade_count(store),
+        open_trade_count=await _open_trade_count(store),
-        last_known_balances=_latest_balances(store),
+        last_known_balances=await _latest_balances(store),
         note=note,
     )
-    repository.insert(snapshot)
+    await repository.insert(snapshot)
     return snapshot
 
 
 async def restore_runtime_state(app: FastAPI) -> RuntimeRecoveryReport:
-    controls = _controls(app)
+    ctl = _controls(app)
     store = _store(app)
-    runtime_repository = _runtime_repository(app)
+    repo = _runtime_repository(app)
 
     restored_from_snapshot = False
     snapshot_at: str | None = None
 
-    latest = runtime_repository.latest() if runtime_repository is not None else None
+    latest = await repo.latest() if repo is not None else None
     if latest is not None:
         restored_from_snapshot = True
         snapshot_at = latest.snapshot_at.isoformat()
-        controls.is_running = latest.is_running
+        ctl.is_running = latest.is_running
         if latest.kill_switch_active:
-            controls.kill_switch.activate(
+            r = latest.kill_switch_reason or "recovered"
-                reason=latest.kill_switch_reason or "recovered")
+            ctl.kill_switch.activate(reason=r)
         else:
-            controls.kill_switch.deactivate()
+            ctl.kill_switch.deactivate()
-        controls.mark_updated()
+        ctl.mark_updated()
 
-    open_trades = _open_trade_count(store)
+    open_trades = await _open_trade_count(store)
     restart_guard_active = False
     if open_trades > 0:
-        controls.is_running = False
+        ctl.is_running = False
-        if not controls.kill_switch.is_active:
+        if not ctl.kill_switch.is_active:
-            controls.kill_switch.activate(
+            ctl.kill_switch.activate(reason="recovery_open_trades_detected")
-                reason="recovery_open_trades_detected")
+        ctl.mark_updated()
-        controls.mark_updated()
         restart_guard_active = True
 
     report = RuntimeRecoveryReport(
@@ -164,7 +165,7 @@ async def restore_runtime_state(app: FastAPI) -> RuntimeRecoveryReport:
     )
     app.state.recovery_report = report
 
-    _record_audit(
+    await _record_audit(
         app,
         event_type="runtime.startup_recovery",
         decision="applied",
@@ -213,7 +214,7 @@ async def graceful_shutdown(app: FastAPI) -> None:
     controls.is_running = False
     controls.mark_updated()
 
-    _record_audit(
+    await _record_audit(
         app,
         event_type="runtime.shutdown",
         decision="initiated",
@@ -221,4 +222,4 @@ async def graceful_shutdown(app: FastAPI) -> None:
     )
 
     await drain_background_workers(app)
-    persist_runtime_snapshot(app, note="graceful_shutdown")
+    await persist_runtime_snapshot(app, note="graceful_shutdown")

src/arbitrade/storage/db.py

@@ -1,128 +0,0 @@
-from __future__ import annotations
-
-from collections.abc import Iterator
-from contextlib import contextmanager
-from pathlib import Path
-
-import duckdb
-import structlog
-
-from arbitrade.config.settings import Settings
-
-_LOG = structlog.get_logger(__name__)
-
-SCHEMA_SQL = """
-CREATE TABLE IF NOT EXISTS schema_migrations (
-    version INTEGER PRIMARY KEY,
-    applied_at TIMESTAMP DEFAULT current_timestamp
-);
-
-CREATE TABLE IF NOT EXISTS opportunities (
-    id UUID DEFAULT uuid(),
-    detected_at TIMESTAMP NOT NULL,
-    cycle VARCHAR NOT NULL,
-    gross_pct DOUBLE,
-    net_pct DOUBLE,
-    est_profit DOUBLE,
-    executed BOOLEAN DEFAULT FALSE
-);
-
-CREATE TABLE IF NOT EXISTS trades (
-    id UUID DEFAULT uuid(),
-    trade_ref VARCHAR NOT NULL,
-    started_at TIMESTAMP NOT NULL,
-    finished_at TIMESTAMP,
-    status VARCHAR NOT NULL,
-    realized_pnl DOUBLE,
-    estimated_pnl DOUBLE,
-    capital_used DOUBLE,
-    cycle VARCHAR,
-    leg_count INTEGER
-);
-
-CREATE TABLE IF NOT EXISTS orders (
-    id UUID DEFAULT uuid(),
-    trade_ref VARCHAR NOT NULL,
-    order_ref VARCHAR NOT NULL,
-    leg_index INTEGER NOT NULL,
-    pair VARCHAR NOT NULL,
-    side VARCHAR NOT NULL,
-    volume DOUBLE NOT NULL,
-    user_ref INTEGER,
-    status VARCHAR,
-    filled_volume DOUBLE,
-    avg_price DOUBLE,
-    raw_response JSON,
-    recorded_at TIMESTAMP NOT NULL
-);
-
-CREATE TABLE IF NOT EXISTS pnl_events (
-    id UUID DEFAULT uuid(),
-    trade_ref VARCHAR NOT NULL,
-    recorded_at TIMESTAMP NOT NULL,
-    kind VARCHAR NOT NULL,
-    pnl_usd DOUBLE NOT NULL,
-    source VARCHAR NOT NULL
-);
-
-CREATE TABLE IF NOT EXISTS portfolio_snapshots (
-    snapshot_at TIMESTAMP NOT NULL,
-    balances JSON,
-    total_value_usd DOUBLE
-);
-
-CREATE TABLE IF NOT EXISTS market_snapshots (
-    snapshot_at TIMESTAMP NOT NULL,
-    symbol VARCHAR NOT NULL,
-    source VARCHAR NOT NULL,
-    payload JSON NOT NULL,
-    latency_ms DOUBLE
-);
-
-CREATE TABLE IF NOT EXISTS audit_events (
-    id UUID DEFAULT uuid(),
-    occurred_at TIMESTAMP NOT NULL,
-    actor VARCHAR NOT NULL,
-    event_type VARCHAR NOT NULL,
-    decision VARCHAR NOT NULL,
-    payload JSON,
-    correlation_id VARCHAR
-);
-
-CREATE TABLE IF NOT EXISTS runtime_state_snapshots (
-    snapshot_at TIMESTAMP NOT NULL,
-    is_running BOOLEAN NOT NULL,
-    kill_switch_active BOOLEAN NOT NULL,
-    kill_switch_reason VARCHAR,
-    open_trade_count INTEGER NOT NULL,
-    last_known_balances JSON,
-    note VARCHAR
-);
-"""
-
-
-class DuckDBStore:
-    def __init__(self, settings: Settings) -> None:
-        self._db_path = Path(settings.duckdb_path)
-        self._db_path.parent.mkdir(parents=True, exist_ok=True)
-        self._use_memory_fallback = False
-
-    @contextmanager
-    def connect(self) -> Iterator[duckdb.DuckDBPyConnection]:
-        try:
-            conn = duckdb.connect(str(self._db_path))
-        except duckdb.IOException:
-            if not self._use_memory_fallback:
-                _LOG.warning(
-                    "duckdb_path_unavailable_falling_back_to_memory", path=str(self._db_path)
-                )
-                self._use_memory_fallback = True
-            conn = duckdb.connect(":memory:")
-        try:
-            yield conn
-        finally:
-            conn.close()
-
-    def migrate(self) -> None:
-        with self.connect() as conn:
-            conn.execute(SCHEMA_SQL)

src/arbitrade/storage/executions.py

@@ -55,11 +55,11 @@ class AsyncExecutionWriter:
 
             try:
                 if isinstance(record, TradeRecord):
-                    self._trade_repository.insert(record)
+                    await self._trade_repository.insert(record)
                 elif isinstance(record, OrderRecord):
-                    self._order_repository.insert(record)
+                    await self._order_repository.insert(record)
                 else:
-                    self._pnl_repository.insert(record)
+                    await self._pnl_repository.insert(record)
             except Exception as exc:
                 _LOG.error("execution_write_failed", error=str(exc))
             finally:

src/arbitrade/storage/market_snapshots.py

@@ -49,7 +49,7 @@ class AsyncMarketSnapshotWriter:
                 continue
 
             try:
-                self._repository.insert(
+                await self._repository.insert(
                     MarketSnapshotRecord(
                         snapshot_at=item.snapshot_at,
                         symbol=item.symbol,

src/arbitrade/storage/opportunities.py

@@ -38,7 +38,7 @@ class AsyncOpportunityWriter:
                 continue
 
             try:
-                self._repository.insert(
+                await self._repository.insert(
                     OpportunityRecord(
                         detected_at=event.detected_at,
                         cycle=event.cycle,

src/arbitrade/storage/pg_store.py

@@ -0,0 +1,132 @@
+"""PostgreSQL store — async connection pool wrapper around asyncpg."""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+import asyncpg
+import structlog
+
+from arbitrade.config.settings import Settings
+
+_LOG = structlog.get_logger(__name__)
+
+SCHEMA_VERSION = 1
+
+
+class PgStore:
+    """Async PostgreSQL connection pool for the arbitrade bot.
+
+    Wraps an ``asyncpg.Pool`` with schema migration support.
+    """
+
+    def __init__(self, settings: Settings) -> None:
+        self._dsn: str | None = None
+        self._pool: asyncpg.Pool | None = None
+        self._settings = settings
+
+    # ── lifecycle ────────────────────────────────────────────────
+
+    async def start(self) -> None:
+        """Create the connection pool."""
+        s = self._settings
+        self._pool = await asyncpg.create_pool(
+            host=s.pg_host,
+            port=s.pg_port,
+            database=s.pg_database,
+            user=s.pg_user,
+            password=s.pg_password,
+            min_size=s.pg_min_connections,
+            max_size=s.pg_max_connections,
+        )
+        _LOG.info(
+            "pg_pool_created",
+            host=s.pg_host,
+            database=s.pg_database,
+            min_size=s.pg_min_connections,
+            max_size=s.pg_max_connections,
+        )
+
+    async def stop(self) -> None:
+        """Close the connection pool."""
+        if self._pool is not None:
+            await self._pool.close()
+            self._pool = None
+            _LOG.info("pg_pool_closed")
+
+    @property
+    def pool(self) -> asyncpg.Pool:
+        """Return the underlying connection pool.
+
+        Raises ``RuntimeError`` if ``start()`` has not been called yet.
+        """
+        if self._pool is None:
+            raise RuntimeError("PgStore not started — call start() first")
+        return self._pool
+
+    # ── schema migration ─────────────────────────────────────────
+
+    async def migrate(self) -> None:
+        """Apply the PostgreSQL schema.
+
+        Reads ``schema_pg.sql`` from the same package directory and
+        executes it, then records the migration version.
+        """
+        schema_path = Path(__file__).with_name("schema_pg.sql")
+        schema_sql = schema_path.read_text(encoding="utf-8")
+
+        async with self.pool.acquire() as conn:
+            # Apply the full schema (CREATE TABLE IF NOT EXISTS …)
+            await conn.execute(schema_sql)
+
+            # Record the current schema version
+            await conn.execute(
+                """
+                INSERT INTO schema_migrations (version, applied_at)
+                VALUES ($1, CURRENT_TIMESTAMP)
+                ON CONFLICT (version) DO UPDATE SET applied_at = CURRENT_TIMESTAMP
+                """,
+                SCHEMA_VERSION,
+            )
+
+            _LOG.info("pg_schema_migrated", version=SCHEMA_VERSION)
+
+    # ── helpers ──────────────────────────────────────────────────
+
+    async def table_exists(self, table_name: str) -> bool:
+        """Check if a table exists in the current schema."""
+        async with self.pool.acquire() as conn:
+            row = await conn.fetchrow(
+                """
+                SELECT COUNT(*) AS cnt
+                FROM information_schema.tables
+                WHERE table_schema = 'public' AND table_name = $1
+                """,
+                table_name,
+            )
+            return bool(row and row["cnt"] > 0)
+
+    async def get_table_columns(self, table_name: str) -> set[str]:
+        """Return the set of column names for *table_name*."""
+        async with self.pool.acquire() as conn:
+            rows = await conn.fetch(
+                """
+                SELECT column_name
+                FROM information_schema.columns
+                WHERE table_schema = 'public' AND table_name = $1
+                """,
+                table_name,
+            )
+            return {str(r["column_name"]) for r in rows}
+
+    async def ensure_column(self, table_name: str, column_def: str) -> None:
+        """Add a column to *table_name* if it does not already exist.
+
+        ``column_def`` should be something like ``"my_col VARCHAR"``.
+        """
+        existing = await self.get_table_columns(table_name)
+        col_name = column_def.split()[0]
+        if col_name not in existing:
+            async with self.pool.acquire() as conn:
+                await conn.execute(f"ALTER TABLE {table_name} ADD COLUMN {column_def}")
+                _LOG.info("pg_column_added", table=table_name, column=col_name)

src/arbitrade/storage/schema_pg.sql

@@ -0,0 +1,226 @@
+-- PostgreSQL schema for arbitrade bot
+-- Requires pgcrypto extension for gen_random_uuid()
+
+CREATE EXTENSION IF NOT EXISTS pgcrypto;
+
+-- ========================================
+-- Schema version tracking
+-- ========================================
+CREATE TABLE IF NOT EXISTS schema_migrations (
+    version INTEGER PRIMARY KEY,
+    applied_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP
+);
+
+-- ========================================
+-- Configuration
+-- ========================================
+CREATE TABLE IF NOT EXISTS config_sections (
+    id SERIAL PRIMARY KEY,
+    name VARCHAR UNIQUE NOT NULL,
+    description TEXT,
+    updated_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP
+);
+
+CREATE TABLE IF NOT EXISTS config_settings (
+    key VARCHAR PRIMARY KEY,
+    section VARCHAR NOT NULL,
+    value_json TEXT NOT NULL,
+    value_type VARCHAR NOT NULL,
+    is_secret BOOLEAN DEFAULT FALSE,
+    is_runtime_reloadable BOOLEAN DEFAULT FALSE,
+    updated_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP,
+    updated_by VARCHAR
+);
+
+CREATE TABLE IF NOT EXISTS config_pairings (
+    id SERIAL PRIMARY KEY,
+    base_asset VARCHAR NOT NULL,
+    quote_asset VARCHAR NOT NULL,
+    enabled BOOLEAN DEFAULT TRUE,
+    source VARCHAR NOT NULL,
+    created_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP,
+    updated_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP,
+    UNIQUE(base_asset, quote_asset)
+);
+
+CREATE TABLE IF NOT EXISTS config_backtesting_defaults (
+    id SERIAL PRIMARY KEY,
+    starting_balances JSONB,
+    trade_capital DOUBLE PRECISION,
+    min_profit_threshold DOUBLE PRECISION,
+    slippage_bps INTEGER,
+    execution_latency_ms INTEGER,
+    fee_source VARCHAR DEFAULT 'api'
+);
+
+-- ========================================
+-- Detection & Execution
+-- ========================================
+CREATE TABLE IF NOT EXISTS opportunities (
+    id UUID DEFAULT gen_random_uuid() PRIMARY KEY,
+    detected_at TIMESTAMPTZ NOT NULL,
+    cycle VARCHAR NOT NULL,
+    gross_pct DOUBLE PRECISION,
+    net_pct DOUBLE PRECISION,
+    est_profit DOUBLE PRECISION,
+    executed BOOLEAN DEFAULT FALSE
+);
+
+CREATE TABLE IF NOT EXISTS trades (
+    id UUID DEFAULT gen_random_uuid() PRIMARY KEY,
+    trade_ref VARCHAR NOT NULL,
+    started_at TIMESTAMPTZ NOT NULL,
+    finished_at TIMESTAMPTZ,
+    status VARCHAR NOT NULL,
+    realized_pnl DOUBLE PRECISION,
+    estimated_pnl DOUBLE PRECISION,
+    capital_used DOUBLE PRECISION,
+    cycle VARCHAR,
+    leg_count INTEGER
+);
+
+CREATE TABLE IF NOT EXISTS orders (
+    id UUID DEFAULT gen_random_uuid() PRIMARY KEY,
+    trade_ref VARCHAR NOT NULL,
+    order_ref VARCHAR NOT NULL,
+    leg_index INTEGER NOT NULL,
+    pair VARCHAR NOT NULL,
+    side VARCHAR NOT NULL,
+    volume DOUBLE PRECISION NOT NULL,
+    user_ref INTEGER,
+    status VARCHAR,
+    filled_volume DOUBLE PRECISION,
+    avg_price DOUBLE PRECISION,
+    raw_response JSONB,
+    recorded_at TIMESTAMPTZ NOT NULL
+);
+
+CREATE TABLE IF NOT EXISTS pnl_events (
+    id UUID DEFAULT gen_random_uuid() PRIMARY KEY,
+    trade_ref VARCHAR NOT NULL,
+    recorded_at TIMESTAMPTZ NOT NULL,
+    kind VARCHAR NOT NULL,
+    pnl_usd DOUBLE PRECISION NOT NULL,
+    source VARCHAR NOT NULL
+);
+
+-- ========================================
+-- Snapshots & Monitoring
+-- ========================================
+CREATE TABLE IF NOT EXISTS portfolio_snapshots (
+    snapshot_at TIMESTAMPTZ NOT NULL,
+    balances JSONB,
+    total_value_usd DOUBLE PRECISION
+);
+
+CREATE TABLE IF NOT EXISTS market_snapshots (
+    snapshot_at TIMESTAMPTZ NOT NULL,
+    symbol VARCHAR NOT NULL,
+    source VARCHAR NOT NULL,
+    payload JSONB NOT NULL,
+    latency_ms DOUBLE PRECISION
+);
+
+CREATE TABLE IF NOT EXISTS audit_events (
+    id UUID DEFAULT gen_random_uuid() PRIMARY KEY,
+    occurred_at TIMESTAMPTZ NOT NULL,
+    actor VARCHAR NOT NULL,
+    event_type VARCHAR NOT NULL,
+    decision VARCHAR NOT NULL,
+    payload JSONB,
+    correlation_id VARCHAR
+);
+
+CREATE TABLE IF NOT EXISTS runtime_state_snapshots (
+    snapshot_at TIMESTAMPTZ NOT NULL,
+    is_running BOOLEAN NOT NULL,
+    kill_switch_active BOOLEAN NOT NULL,
+    kill_switch_reason VARCHAR,
+    open_trade_count INTEGER NOT NULL,
+    last_known_balances JSONB,
+    note VARCHAR
+);
+
+CREATE TABLE IF NOT EXISTS kraken_account_snapshots (
+    snapshot_at TIMESTAMPTZ NOT NULL,
+    fee_tier VARCHAR,
+    maker_fee DOUBLE PRECISION,
+    taker_fee DOUBLE PRECISION,
+    thirty_day_volume DOUBLE PRECISION,
+    trade_balance_raw JSONB,
+    fee_schedule_raw JSONB
+);
+
+-- ========================================
+-- Backtesting
+-- ========================================
+CREATE TABLE IF NOT EXISTS backtest_jobs (
+    id UUID DEFAULT gen_random_uuid() PRIMARY KEY,
+    status VARCHAR NOT NULL DEFAULT 'pending',
+    events_path VARCHAR NOT NULL,
+    config JSONB,
+    report JSONB,
+    error VARCHAR,
+    created_at TIMESTAMPTZ DEFAULT CURRENT_TIMESTAMP,
+    started_at TIMESTAMPTZ,
+    finished_at TIMESTAMPTZ
+);
+
+-- ========================================
+-- Migration: convert legacy TIMESTAMP→TIMESTAMPTZ
+-- for databases created before the fix.
+-- These are idempotent (no-op when already TIMESTAMPTZ).
+-- ========================================
+ALTER TABLE audit_events          ALTER COLUMN occurred_at       TYPE TIMESTAMPTZ USING occurred_at AT TIME ZONE 'UTC';
+ALTER TABLE runtime_state_snapshots ALTER COLUMN snapshot_at     TYPE TIMESTAMPTZ USING snapshot_at AT TIME ZONE 'UTC';
+ALTER TABLE schema_migrations     ALTER COLUMN applied_at        TYPE TIMESTAMPTZ USING applied_at AT TIME ZONE 'UTC';
+ALTER TABLE config_sections       ALTER COLUMN updated_at        TYPE TIMESTAMPTZ USING updated_at AT TIME ZONE 'UTC';
+ALTER TABLE config_settings       ALTER COLUMN updated_at        TYPE TIMESTAMPTZ USING updated_at AT TIME ZONE 'UTC';
+ALTER TABLE config_pairings       ALTER COLUMN created_at        TYPE TIMESTAMPTZ USING created_at AT TIME ZONE 'UTC';
+ALTER TABLE config_pairings       ALTER COLUMN updated_at        TYPE TIMESTAMPTZ USING updated_at AT TIME ZONE 'UTC';
+ALTER TABLE opportunities         ALTER COLUMN detected_at       TYPE TIMESTAMPTZ USING detected_at AT TIME ZONE 'UTC';
+ALTER TABLE trades                ALTER COLUMN started_at        TYPE TIMESTAMPTZ USING started_at AT TIME ZONE 'UTC';
+ALTER TABLE trades                ALTER COLUMN finished_at       TYPE TIMESTAMPTZ USING finished_at AT TIME ZONE 'UTC';
+ALTER TABLE orders                ALTER COLUMN recorded_at       TYPE TIMESTAMPTZ USING recorded_at AT TIME ZONE 'UTC';
+ALTER TABLE pnl_events            ALTER COLUMN recorded_at       TYPE TIMESTAMPTZ USING recorded_at AT TIME ZONE 'UTC';
+ALTER TABLE portfolio_snapshots   ALTER COLUMN snapshot_at       TYPE TIMESTAMPTZ USING snapshot_at AT TIME ZONE 'UTC';
+ALTER TABLE market_snapshots      ALTER COLUMN snapshot_at       TYPE TIMESTAMPTZ USING snapshot_at AT TIME ZONE 'UTC';
+ALTER TABLE kraken_account_snapshots ALTER COLUMN snapshot_at    TYPE TIMESTAMPTZ USING snapshot_at AT TIME ZONE 'UTC';
+ALTER TABLE backtest_jobs         ALTER COLUMN created_at        TYPE TIMESTAMPTZ USING created_at AT TIME ZONE 'UTC';
+ALTER TABLE backtest_jobs         ALTER COLUMN started_at        TYPE TIMESTAMPTZ USING started_at AT TIME ZONE 'UTC';
+ALTER TABLE backtest_jobs         ALTER COLUMN finished_at       TYPE TIMESTAMPTZ USING finished_at AT TIME ZONE 'UTC';
+
+-- ========================================
+-- Logging tables
+-- ========================================
+CREATE TABLE IF NOT EXISTS app_logs (
+    id UUID DEFAULT gen_random_uuid() PRIMARY KEY,
+    recorded_at TIMESTAMPTZ NOT NULL,
+    level VARCHAR NOT NULL,
+    logger VARCHAR NOT NULL,
+    message TEXT NOT NULL,
+    context JSONB
+);
+CREATE INDEX IF NOT EXISTS idx_app_logs_recorded_at ON app_logs (recorded_at DESC);
+CREATE INDEX IF NOT EXISTS idx_app_logs_level ON app_logs (level);
+
+CREATE TABLE IF NOT EXISTS app_log_archives (
+    id UUID PRIMARY KEY,
+    recorded_at TIMESTAMPTZ NOT NULL,
+    level VARCHAR NOT NULL,
+    logger VARCHAR NOT NULL,
+    message TEXT NOT NULL,
+    context JSONB,
+    archived_at TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP
+);
+CREATE INDEX IF NOT EXISTS idx_app_log_archives_recorded_at ON app_log_archives (recorded_at DESC);
+
+CREATE TABLE IF NOT EXISTS app_log_aggregates (
+    id UUID DEFAULT gen_random_uuid() PRIMARY KEY,
+    bucket_start TIMESTAMPTZ NOT NULL,
+    period VARCHAR NOT NULL,
+    level VARCHAR NOT NULL,
+    count INTEGER NOT NULL DEFAULT 0,
+    UNIQUE (bucket_start, period, level)
+);
+CREATE INDEX IF NOT EXISTS idx_app_log_aggregates_bucket ON app_log_aggregates (bucket_start DESC, period);

src/arbitrade/strategy/__init__.py

@@ -0,0 +1,5 @@
+"""Experimental strategy modules."""
+
+from arbitrade.strategy.stat_arb import StatArbExperiment, StatArbExperimentConfig, StatArbSignal
+
+__all__ = ["StatArbExperiment", "StatArbExperimentConfig", "StatArbSignal"]

src/arbitrade/strategy/stat_arb.py

@@ -0,0 +1,152 @@
+from __future__ import annotations
+
+from collections import deque
+from dataclasses import dataclass
+from datetime import UTC, datetime
+from statistics import fmean, pstdev
+from typing import Literal
+
+
+@dataclass(frozen=True, slots=True)
+class StatArbExperimentConfig:
+    pair_a: str
+    pair_b: str
+    lookback_window: int = 120
+    entry_zscore: float = 2.0
+    exit_zscore: float = 0.5
+    max_holding_seconds: float = 900.0
+
+
+@dataclass(frozen=True, slots=True)
+class StatArbSignal:
+    action: Literal[
+        "warmup",
+        "hold",
+        "enter_long_spread",
+        "enter_short_spread",
+        "exit_position",
+    ]
+    observed_at: datetime
+    spread: float
+    zscore: float | None
+    position: Literal["long", "short", "flat"]
+
+
+class StatArbExperiment:
+    """Simple mean-reversion experiment scaffold behind feature flags."""
+
+    def __init__(self, config: StatArbExperimentConfig) -> None:
+        if config.lookback_window < 2:
+            raise ValueError("lookback_window must be >= 2")
+        if config.entry_zscore <= 0.0:
+            raise ValueError("entry_zscore must be > 0")
+        if config.exit_zscore < 0.0:
+            raise ValueError("exit_zscore must be >= 0")
+        if config.entry_zscore <= config.exit_zscore:
+            raise ValueError("entry_zscore must be > exit_zscore")
+        if config.max_holding_seconds <= 0.0:
+            raise ValueError("max_holding_seconds must be > 0")
+
+        self._config = config
+        self._spreads: deque[float] = deque(maxlen=config.lookback_window)
+        self._position: Literal["long", "short", "flat"] = "flat"
+        self._position_opened_at: datetime | None = None
+
+    @property
+    def config(self) -> StatArbExperimentConfig:
+        return self._config
+
+    def reset(self) -> None:
+        self._spreads.clear()
+        self._position = "flat"
+        self._position_opened_at = None
+
+    def observe(
+        self,
+        *,
+        price_a: float,
+        price_b: float,
+        observed_at: datetime,
+    ) -> StatArbSignal:
+        if price_a <= 0.0 or price_b <= 0.0:
+            raise ValueError("prices must be > 0")
+
+        at = observed_at.astimezone(UTC)
+        spread = price_a - price_b
+        self._spreads.append(spread)
+
+        if len(self._spreads) < self._config.lookback_window:
+            return StatArbSignal(
+                action="warmup",
+                observed_at=at,
+                spread=spread,
+                zscore=None,
+                position=self._position,
+            )
+
+        mean_spread = fmean(self._spreads)
+        std_spread = pstdev(self._spreads)
+        if std_spread == 0.0:
+            return StatArbSignal(
+                action="hold",
+                observed_at=at,
+                spread=spread,
+                zscore=0.0,
+                position=self._position,
+            )
+
+        zscore = (spread - mean_spread) / std_spread
+
+        if self._position == "flat":
+            if zscore >= self._config.entry_zscore:
+                self._position = "short"
+                self._position_opened_at = at
+                return StatArbSignal(
+                    action="enter_short_spread",
+                    observed_at=at,
+                    spread=spread,
+                    zscore=zscore,
+                    position=self._position,
+                )
+            if zscore <= -self._config.entry_zscore:
+                self._position = "long"
+                self._position_opened_at = at
+                return StatArbSignal(
+                    action="enter_long_spread",
+                    observed_at=at,
+                    spread=spread,
+                    zscore=zscore,
+                    position=self._position,
+                )
+            return StatArbSignal(
+                action="hold",
+                observed_at=at,
+                spread=spread,
+                zscore=zscore,
+                position=self._position,
+            )
+
+        assert self._position_opened_at is not None
+        held_seconds = (at - self._position_opened_at).total_seconds()
+        should_exit = abs(zscore) <= self._config.exit_zscore
+        if held_seconds >= self._config.max_holding_seconds:
+            should_exit = True
+
+        if should_exit:
+            self._position = "flat"
+            self._position_opened_at = None
+            return StatArbSignal(
+                action="exit_position",
+                observed_at=at,
+                spread=spread,
+                zscore=zscore,
+                position=self._position,
+            )
+
+        return StatArbSignal(
+            action="hold",
+            observed_at=at,
+            spread=spread,
+            zscore=zscore,
+            position=self._position,
+        )

src/arbitrade/web/templates/_base.html

@@ -14,9 +14,8 @@
         color: #e5eefb;
       }
       .shell {
-        max-width: 1120px;
+        max-width: none;
-        margin: 0 auto;
+        padding: 24px 32px 48px;
-        padding: 32px 20px 48px;
       }
       .hero {
         display: flex;
@@ -141,7 +140,7 @@
   </head>
   <body>
     <main class="{% block main_class %}shell{% endblock %}">
-      {% block content %}{% endblock %}
+      {% block header %}{% endblock %} {% block content %}{% endblock %}
     </main>
     {% block scripts %}{% endblock %}
   </body>

src/arbitrade/web/templates/_header.html

@@ -0,0 +1,31 @@
+<section class="hero">
+  <div>
+    <h1 class="title">{{ page_title }}</h1>
+    <p class="subtitle">{{ page_subtitle }}</p>
+  </div>
+  {% set nav_links = [ {"url": "/dashboard", "label": "Dashboard", "class":
+  "secondary"}, {"url": "/dashboard/config", "label": "Config", "class":
+  "secondary"}, {"url": "/dashboard/config/pairings", "label": "Pairings",
+  "class": "secondary"}, {"url": "/dashboard/backtesting", "label":
+  "Backtesting", "class": "secondary"}, {"url": "/dashboard/health", "label":
+  "Health", "class": "secondary"}, ] %}
+  <div class="toolbar">
+    {% for link in nav_links %}
+    <a
+      class="button{% if link.class %} {{ link.class }}{% endif %}"
+      href="{{ link.url }}"
+      {%
+      if
+      link.hx_get
+      %}hx-get="{{ link.hx_get }}"
+      hx-target="{{ link.hx_target }}"
+      hx-swap="{{ link.hx_swap | default('outerHTML') }}"
+      {%
+      endif
+      %}
+    >
+      {{ link.label }}
+    </a>
+    {% endfor %}
+  </div>
+</section>

src/arbitrade/web/templates/audit.html

@@ -0,0 +1,16 @@
+{% extends "_base.html" %} {% block title %}Audit Trail{% endblock %} {% block
+main_class %}shell{% endblock %} {% block header %} {% with page_title="Audit
+Trail", page_subtitle="System activity, configuration changes, and execution
+decisions." %} {% include "_header.html" %} {% endwith %} {% endblock %} {%
+block content %}
+
+<section
+  id="audit-shell"
+  hx-get="/dashboard/audit/fragment"
+  hx-target="this"
+  hx-trigger="load, every 20s"
+  hx-swap="outerHTML"
+>
+  {% include "partials/audit.html" %}
+</section>
+{% endblock %}

src/arbitrade/web/templates/backtesting.html

@@ -0,0 +1,16 @@
+{% extends "_base.html" %} {% block title %}{{ title }}{% endblock %} {% block
+main_class %}shell{% endblock %} {% block header %} {% with
+page_title="Backtesting", page_subtitle="Replay controls, run status, and recent
+summary reports." %} {% include "_header.html" %} {% endwith %} {% endblock %}
+{% block content %}
+
+<section
+  id="backtesting-shell"
+  hx-get="{{ panel_endpoint }}"
+  hx-target="this"
+  hx-trigger="load"
+  hx-swap="outerHTML"
+>
+  {% include "partials/backtesting_panel.html" %}
+</section>
+{% endblock %}

src/arbitrade/web/templates/config.html

@@ -0,0 +1,17 @@
+{% extends "_base.html" %} {% block title %}{{ title }}{% endblock %} {% block
+main_class %}shell{% endblock %} {% block header %} {% with
+page_title="Configuration", page_subtitle="Runtime settings, alerts, exchange,
+risk, and strategy." %} {% include "_header.html" %} {% endwith %} {% endblock
+%} {% block content %}
+
+<section
+  id="config-shell"
+  hx-get="/dashboard/fragment/config"
+  hx-target="this"
+  hx-trigger="load, every 30s"
+  hx-swap="outerHTML"
+>
+  {% include "partials/config.html" %}
+</section>
+
+{% endblock %}

src/arbitrade/web/templates/config/alerts.html

@@ -0,0 +1,192 @@
+<div class="card">
+  <div class="label">Alerting</div>
+  <label class="field checkbox">
+    <input name="alerts_enabled" type="checkbox" {{ alerts_enabled }} />
+    <span>Alerts enabled</span>
+  </label>
+  <label class="field">
+    <span>Min severity</span>
+    <select name="alert_min_severity">
+      {% for sev in ["info", "warning", "error", "critical"] %} {% set sel =
+      "selected" if alert_min_severity == sev else "" %}
+      <option value="{{ sev }}" {{ sel }}>{{ sev }}</option>
+      {% endfor %}
+    </select>
+  </label>
+  <label class="field">
+    <span>Dedup seconds</span>
+    <input
+      name="alert_dedup_seconds"
+      type="number"
+      min="0"
+      step="1"
+      value="{{ alert_dedup_seconds }}"
+    />
+  </label>
+  <label class="field checkbox">
+    <input
+      name="alert_on_trade_events"
+      type="checkbox"
+      {{
+      alert_on_trade_events
+      }}
+    />
+    <span>Trade events</span>
+  </label>
+  <label class="field checkbox">
+    <input
+      name="alert_on_error_events"
+      type="checkbox"
+      {{
+      alert_on_error_events
+      }}
+    />
+    <span>Error events</span>
+  </label>
+  <label class="field checkbox">
+    <input
+      name="alert_on_threshold_events"
+      type="checkbox"
+      {{
+      alert_on_threshold_events
+      }}
+    />
+    <span>Threshold events</span>
+  </label>
+  <label class="field checkbox">
+    <input
+      name="alert_on_system_events"
+      type="checkbox"
+      {{
+      alert_on_system_events
+      }}
+    />
+    <span>System events</span>
+  </label>
+  <hr
+    style="
+      border: none;
+      border-top: 1px solid rgba(255, 255, 255, 0.1);
+      margin: 12px 0;
+    "
+  />
+  <label class="field checkbox">
+    <input
+      name="telegram_alerts_enabled"
+      type="checkbox"
+      {{
+      telegram_alerts_enabled
+      }}
+    />
+    <span>Telegram</span>
+  </label>
+  <label class="field">
+    <span>Telegram bot token</span>
+    <input
+      name="telegram_bot_token"
+      type="password"
+      value="{{ telegram_bot_token }}"
+      placeholder="Bot token"
+    />
+  </label>
+  <label class="field">
+    <span>Telegram chat ID</span>
+    <input
+      name="telegram_chat_id"
+      type="text"
+      value="{{ telegram_chat_id }}"
+      placeholder="Chat ID"
+    />
+  </label>
+  <hr
+    style="
+      border: none;
+      border-top: 1px solid rgba(255, 255, 255, 0.1);
+      margin: 12px 0;
+    "
+  />
+  <label class="field checkbox">
+    <input
+      name="discord_alerts_enabled"
+      type="checkbox"
+      {{
+      discord_alerts_enabled
+      }}
+    />
+    <span>Discord</span>
+  </label>
+  <label class="field">
+    <span>Discord webhook URL</span>
+    <input
+      name="discord_webhook_url"
+      type="password"
+      value="{{ discord_webhook_url }}"
+      placeholder="Webhook URL"
+    />
+  </label>
+  <hr
+    style="
+      border: none;
+      border-top: 1px solid rgba(255, 255, 255, 0.1);
+      margin: 12px 0;
+    "
+  />
+  <label class="field checkbox">
+    <input
+      name="email_alerts_enabled"
+      type="checkbox"
+      {{
+      email_alerts_enabled
+      }}
+    />
+    <span>Email</span>
+  </label>
+  <label class="field">
+    <span>SMTP host</span>
+    <input
+      name="email_smtp_host"
+      type="text"
+      value="{{ email_smtp_host }}"
+      placeholder="smtp.example.com"
+    />
+  </label>
+  <label class="field">
+    <span>SMTP port</span>
+    <input
+      name="email_smtp_port"
+      type="number"
+      min="1"
+      max="65535"
+      value="{{ email_smtp_port }}"
+    />
+  </label>
+  <label class="field">
+    <span>SMTP username</span>
+    <input
+      name="email_smtp_username"
+      type="text"
+      value="{{ email_smtp_username }}"
+    />
+  </label>
+  <label class="field">
+    <span>SMTP password</span>
+    <input
+      name="email_smtp_password"
+      type="password"
+      value=""
+      placeholder="Leave blank to keep existing"
+    />
+  </label>
+  <label class="field">
+    <span>From address</span>
+    <input name="email_alert_from" type="text" value="{{ email_alert_from }}" />
+  </label>
+  <label class="field">
+    <span>To address</span>
+    <input name="email_alert_to" type="text" value="{{ email_alert_to }}" />
+  </label>
+  <label class="field checkbox">
+    <input name="email_smtp_use_tls" type="checkbox" {{ email_smtp_use_tls }} />
+    <span>Use TLS</span>
+  </label>
+</div>

src/arbitrade/web/templates/config/kraken.html

@@ -0,0 +1,93 @@
+<div class="card">
+  <div class="label">Kraken Exchange</div>
+  <label class="field">
+    <span>REST URL</span>
+    <input name="kraken_rest_url" type="text" value="{{ kraken_rest_url }}" />
+  </label>
+  <label class="field">
+    <span>WebSocket URL</span>
+    <input name="kraken_ws_url" type="text" value="{{ kraken_ws_url }}" />
+  </label>
+  <label class="field">
+    <span>Private rate limit (s)</span>
+    <input
+      name="kraken_private_rate_limit_seconds"
+      type="number"
+      min="0"
+      step="0.01"
+      value="{{ kraken_private_rate_limit_seconds }}"
+    />
+  </label>
+  <label class="field">
+    <span>HTTP timeout (s)</span>
+    <input
+      name="kraken_http_timeout_seconds"
+      type="number"
+      min="1"
+      step="0.5"
+      value="{{ kraken_http_timeout_seconds }}"
+    />
+  </label>
+  <label class="field">
+    <span>Retry attempts</span>
+    <input
+      name="kraken_retry_attempts"
+      type="number"
+      min="0"
+      step="1"
+      value="{{ kraken_retry_attempts }}"
+    />
+  </label>
+  <label class="field">
+    <span>Retry base delay (s)</span>
+    <input
+      name="kraken_retry_base_delay_seconds"
+      type="number"
+      min="0"
+      step="0.01"
+      value="{{ kraken_retry_base_delay_seconds }}"
+    />
+  </label>
+  <label class="field">
+    <span>API key</span>
+    <input name="kraken_api_key" type="text" value="{{ kraken_api_key }}" />
+  </label>
+  <label class="field">
+    <span>API secret</span>
+    <input
+      name="kraken_api_secret"
+      type="password"
+      value=""
+      placeholder="Leave blank to keep existing"
+    />
+  </label>
+  <label class="field">
+    <span>API key permissions</span>
+    <input
+      name="kraken_api_key_permissions"
+      type="text"
+      value="{{ kraken_api_key_permissions }}"
+      disabled
+    />
+  </label>
+  <label class="field">
+    <span>WS heartbeat timeout (s)</span>
+    <input
+      name="ws_heartbeat_timeout_seconds"
+      type="number"
+      min="1"
+      step="1"
+      value="{{ ws_heartbeat_timeout_seconds }}"
+    />
+  </label>
+  <label class="field">
+    <span>WS max staleness (s)</span>
+    <input
+      name="ws_max_staleness_seconds"
+      type="number"
+      min="1"
+      step="1"
+      value="{{ ws_max_staleness_seconds }}"
+    />
+  </label>
+</div>

src/arbitrade/web/templates/config/risk.html

@@ -0,0 +1,57 @@
+<div class="card">
+  <div class="label">Risk & Guardrails</div>
+  <label class="field">
+    <span>Daily loss limit USD</span>
+    <input
+      name="daily_loss_limit_usd"
+      type="number"
+      min="0"
+      step="0.01"
+      value="{{ daily_loss_limit_value }}"
+    />
+  </label>
+  <label class="field">
+    <span>Cumulative loss limit USD</span>
+    <input
+      name="cumulative_loss_limit_usd"
+      type="number"
+      min="0"
+      step="0.01"
+      value="{{ cumulative_loss_limit_value }}"
+    />
+  </label>
+  <label class="field">
+    <span>Max source latency (ms)</span>
+    <input
+      name="max_source_latency_ms"
+      type="number"
+      min="0"
+      step="1"
+      value="{{ max_source_latency_value }}"
+    />
+  </label>
+  <label class="field">
+    <span>Max apply latency (ms)</span>
+    <input
+      name="max_apply_latency_ms"
+      type="number"
+      min="0"
+      step="1"
+      value="{{ max_apply_latency_value }}"
+    />
+  </label>
+  <label class="field">
+    <span>Max consecutive failures</span>
+    <input
+      name="max_consecutive_failures"
+      type="number"
+      min="0"
+      step="1"
+      value="{{ max_consecutive_failures_value }}"
+    />
+  </label>
+  <label class="field checkbox">
+    <input name="kill_switch_active" type="checkbox" {{ kill_switch_active }} />
+    <span>Kill switch active</span>
+  </label>
+</div>

src/arbitrade/web/templates/config/runtime.html

@@ -0,0 +1,140 @@
+<div class="card">
+  <div class="label">Runtime</div>
+  <label class="field">
+    <span>App env</span>
+    <input type="text" value="{{ app_env }}" disabled />
+  </label>
+  <label class="field">
+    <span>App host</span>
+    <input name="app_host" type="text" value="{{ app_host }}" />
+  </label>
+  <label class="field">
+    <span>App port</span>
+    <input
+      name="app_port"
+      type="number"
+      min="1"
+      max="65535"
+      value="{{ app_port }}"
+    />
+  </label>
+  <label class="field">
+    <span>Log level</span>
+    <select name="log_level">
+      {% for lvl in ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"] %} {% set
+      sel = "selected" if log_level == lvl else "" %}
+      <option value="{{ lvl }}" {{ sel }}>{{ lvl }}</option>
+      {% endfor %}
+    </select>
+  </label>
+  <label class="field checkbox">
+    <input name="log_json" type="checkbox" {{ log_json }} />
+    <span>JSON logs</span>
+  </label>
+  <label class="field checkbox">
+    <input name="paper_trading_mode" type="checkbox" {{ paper_trading_mode }} />
+    <span>Paper trading mode</span>
+  </label>
+  <label class="field">
+    <span>Trade capital USD</span>
+    <input
+      name="trade_capital_usd"
+      type="number"
+      min="0"
+      step="0.01"
+      value="{{ trade_capital_usd_value }}"
+    />
+  </label>
+  <label class="field">
+    <span>Max trade capital USD</span>
+    <input
+      name="max_trade_capital_usd"
+      type="number"
+      min="0"
+      step="0.01"
+      value="{{ max_trade_capital_usd_value }}"
+    />
+  </label>
+  <label class="field">
+    <span>Max concurrent trades</span>
+    <input
+      name="max_concurrent_trades"
+      type="number"
+      min="1"
+      step="1"
+      value="{{ max_concurrent_trades_value }}"
+    />
+  </label>
+  <label class="field">
+    <span>Max exposure per asset USD</span>
+    <input
+      name="max_exposure_per_asset_usd"
+      type="number"
+      min="0"
+      step="0.01"
+      value="{{ max_exposure_per_asset_value }}"
+    />
+  </label>
+  <label class="field">
+    <span>Quote balance asset</span>
+    <input
+      name="quote_balance_asset"
+      type="text"
+      value="{{ quote_balance_asset }}"
+    />
+  </label>
+  <label class="field">
+    <span>Min order size USD</span>
+    <input
+      name="min_order_size_usd"
+      type="number"
+      min="0"
+      step="0.01"
+      value="{{ min_order_size_usd_value }}"
+    />
+  </label>
+  <label class="field">
+    <span>Tradable pairs (comma-separated)</span>
+    <input
+      name="tradable_pairs"
+      type="text"
+      placeholder="BTC/USD, ETH/BTC"
+      value="{{ tradable_pairs_value }}"
+    />
+  </label>
+  <label class="field">
+    <span>Strategy mode</span>
+    <select name="strategy_mode">
+      {% set sel = "selected" if strategy_mode == "incremental" else "" %}
+      <option value="incremental" {{ sel }}>incremental</option>
+      {% set sel = "selected" if strategy_mode == "paper" else "" %}
+      <option value="paper" {{ sel }}>paper</option>
+      {% set sel = "selected" if strategy_mode == "live" else "" %}
+      <option value="live" {{ sel }}>live</option>
+      {% if strategy_stat_arb_enabled %} {% set sel = "selected" if
+      strategy_mode == "stat_arb_experiment" else "" %}
+      <option value="stat_arb_experiment" {{ sel }}>stat_arb_experiment</option>
+      {% endif %}
+    </select>
+  </label>
+  <label class="field">
+    <span>Strategy profit threshold</span>
+    <input
+      name="strategy_profit_threshold"
+      type="number"
+      min="0"
+      step="0.0001"
+      value="{{ strategy_profit_threshold }}"
+    />
+  </label>
+  <label class="field">
+    <span>Max depth levels</span>
+    <input
+      name="strategy_max_depth_levels"
+      type="number"
+      min="1"
+      step="1"
+      value="{{ strategy_max_depth_levels }}"
+    />
+  </label>
+</div>

src/arbitrade/web/templates/dashboard.html

@@ -1,25 +1,11 @@
-{% extends "base.html" %} {% block title %}{{ title }}{% endblock %} {% block
+{% extends "_base.html" %} {% block title %}{{ title }}{% endblock %} {% block
 head_scripts %}
 <script defer src="https://unpkg.com/alpinejs@3.x.x/dist/cdn.min.js"></script>
 <script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.3/dist/chart.umd.min.js"></script>
-{% endblock %} {% block main_class %}shell{% endblock %} {% block content %}
+{% endblock %} {% block header %} {% with page_title="Arbitrade Dashboard",
-<section class="hero">
+page_subtitle="Live execution, P&L, and system state." %} {% include
-  <div>
+"_header.html" %} {% endwith %} {% endblock %} {% block main_class %}shell{%
-    <h1 class="title">Arbitrade Dashboard</h1>
+endblock %} {% block content %}
-    <p class="subtitle">Live execution, P&amp;L, and system state.</p>
-  </div>
-  <div class="toolbar">
-    <a
-      class="button"
-      href="{{ metrics_endpoint }}"
-      hx-get="{{ metrics_endpoint }}"
-      hx-target="#metrics-panel"
-      hx-swap="outerHTML"
-      >Refresh metrics</a
-    >
-    <a class="button secondary" href="/health">Health</a>
-  </div>
-</section>
 
 <section
   id="metrics-shell"
@@ -61,15 +47,6 @@ head_scripts %}
   {% include "partials/charts.html" %}
 </section>
 
-<section
-  id="audit-shell"
-  hx-get="{{ audit_endpoint }}"
-  hx-target="this"
-  hx-trigger="load, every 20s"
-  hx-swap="outerHTML"
->
-  {% include "partials/audit.html" %}
-</section>
 {% endblock %} {% block scripts %}
 <script>
   window.arbitradeRenderCharts = (payload) => {

src/arbitrade/web/templates/dashboard/config_pairs.html

@@ -0,0 +1,153 @@
+{% extends "base.html" %} {% block title %}Currency Pairings{% endblock %} {%
+block content %}
+<div class="container mt-4">
+  <div class="row">
+    <div class="col-md-12">
+      <h2>Currency Pairings</h2>
+
+      {% if message %}
+      <div class="alert alert-success alert-dismissible fade show" role="alert">
+        {{ message }}
+        <button
+          type="button"
+          class="btn-close"
+          data-bs-dismiss="alert"
+          aria-label="Close"
+        ></button>
+      </div>
+      {% endif %}
+
+      <!-- Create Pairing Form -->
+      <div class="card mb-4">
+        <div class="card-header">
+          <h5>Create New Pairing</h5>
+        </div>
+        <div class="card-body">
+          <form method="post" action="/dashboard/config/pairs/create">
+            <div class="row">
+              <div class="col-md-4">
+                <div class="mb-3">
+                  <label for="base_asset" class="form-label">Base Asset</label>
+                  <input
+                    type="text"
+                    class="form-control"
+                    id="base_asset"
+                    name="base_asset"
+                    required
+                  />
+                </div>
+              </div>
+              <div class="col-md-4">
+                <div class="mb-3">
+                  <label for="quote_asset" class="form-label"
+                    >Quote Asset</label
+                  >
+                  <input
+                    type="text"
+                    class="form-control"
+                    id="quote_asset"
+                    name="quote_asset"
+                    required
+                  />
+                </div>
+              </div>
+              <div class="col-md-4">
+                <div class="mb-3">
+                  <label for="source" class="form-label">Source</label>
+                  <input
+                    type="text"
+                    class="form-control"
+                    id="source"
+                    name="source"
+                    placeholder="e.g., Kraken, Binance"
+                  />
+                </div>
+              </div>
+            </div>
+            <div class="mb-3 form-check">
+              <input
+                type="checkbox"
+                class="form-check-input"
+                id="enabled"
+                name="enabled"
+                checked
+              />
+              <label class="form-check-label" for="enabled">Enabled</label>
+            </div>
+            <button type="submit" class="btn btn-primary">
+              Create Pairing
+            </button>
+          </form>
+        </div>
+      </div>
+
+      <!-- Existing Pairings Table -->
+      <div class="card">
+        <div class="card-header">
+          <h5>Existing Pairings</h5>
+        </div>
+        <div class="card-body">
+          <div class="table-responsive">
+            <table class="table table-striped">
+              <thead>
+                <tr>
+                  <th>Base Asset</th>
+                  <th>Quote Asset</th>
+                  <th>Enabled</th>
+                  <th>Source</th>
+                  <th>Actions</th>
+                </tr>
+              </thead>
+              <tbody>
+                {% for pairing in pairings %}
+                <tr>
+                  <td>{{ pairing.base_asset }}</td>
+                  <td>{{ pairing.quote_asset }}</td>
+                  <td>
+                    {% if pairing.enabled %}
+                    <span class="badge bg-success">Yes</span>
+                    {% else %}
+                    <span class="badge bg-secondary">No</span>
+                    {% endif %}
+                  </td>
+                  <td>{{ pairing.source or '—' }}</td>
+                  <td>
+                    <form
+                      method="post"
+                      action="/dashboard/config/pairs/delete"
+                      style="display: inline"
+                    >
+                      <input
+                        type="hidden"
+                        name="base_asset"
+                        value="{{ pairing.base_asset }}"
+                      />
+                      <input
+                        type="hidden"
+                        name="quote_asset"
+                        value="{{ pairing.quote_asset }}"
+                      />
+                      <button
+                        type="submit"
+                        class="btn btn-sm btn-danger"
+                        onclick="
+                          return confirm(
+                            'Are you sure you want to delete this pairing?',
+                          );
+                        "
+                      >
+                        Delete
+                      </button>
+                    </form>
+                  </td>
+                </tr>
+                {% endfor %}
+              </tbody>
+            </table>
+          </div>
+        </div>
+      </div>
+    </div>
+  </div>
+</div>
+{% endblock %}

src/arbitrade/web/templates/dashboard/config_settings.html

@@ -0,0 +1,52 @@
+{% extends "base.html" %} {% block title %}Application Settings{% endblock %} {%
+block content %}
+<div class="container mt-4">
+  <div class="row">
+    <div class="col-md-12">
+      <h2>Application Settings</h2>
+
+      {% if message %}
+      <div class="alert alert-success alert-dismissible fade show" role="alert">
+        {{ message }}
+        <button
+          type="button"
+          class="btn-close"
+          data-bs-dismiss="alert"
+          aria-label="Close"
+        ></button>
+      </div>
+      {% endif %}
+
+      <div class="card">
+        <div class="card-header">
+          <h5>Configure Settings</h5>
+        </div>
+        <div class="card-body">
+          <form method="post" action="/dashboard/config/settings/save">
+            {% for section_name, settings in settings_by_section.items() %}
+            <div class="mb-4">
+              <h5>{{ section_name }}</h5>
+              {% for setting in settings %}
+              <div class="mb-3">
+                <label for="setting_{{ setting.key }}" class="form-label"
+                  >{{ setting.key }}</label
+                >
+                <input
+                  type="text"
+                  class="form-control"
+                  id="setting_{{ setting.key }}"
+                  name="setting_{{ setting.key }}"
+                  value="{{ setting.value_json }}"
+                />
+              </div>
+              {% endfor %}
+            </div>
+            {% endfor %}
+            <button type="submit" class="btn btn-primary">Save Settings</button>
+          </form>
+        </div>
+      </div>
+    </div>
+  </div>
+</div>
+{% endblock %}

src/arbitrade/web/templates/health.html

@@ -0,0 +1,62 @@
+{% extends "_base.html" %} {% block title %}Arbitrade Health Check{% endblock %}
+{% block header %} {% with page_title="Arbitrade Health Check",
+page_subtitle="Live system state and logs." %} {% include "_header.html" %} {%
+endwith %} {% endblock %} {% block main_class %}shell{% endblock %} {% block
+content %}
+
+<section class="card" style="margin-bottom: 24px">
+  <h1>Arbitrade Bootstrap Complete</h1>
+  <p><span class="badge">Status: {{ status }}</span></p>
+  <p>UTC: {{ time }}</p>
+  <p>
+    Health JSON:
+    <a
+      href="/health"
+      hx-get="/health"
+      hx-target="#health-json"
+      hx-swap="innerHTML"
+      >refresh</a
+    >
+  </p>
+  <pre id="health-json">{"status":"ok","service":"arbitrade"}</pre>
+</section>
+
+<section class="card">
+  <h2>System Logs</h2>
+  <div class="toolbar" style="display: flex; gap: 8px; margin-bottom: 12px">
+    <form
+      hx-post="/dashboard/api/logging/aggregate"
+      hx-target="#aggregate-result"
+      hx-swap="innerHTML"
+      style="display: inline"
+    >
+      <button type="submit" class="button secondary" style="font-size: 0.85rem">
+        Aggregate Now
+      </button>
+    </form>
+    <form
+      hx-post="/dashboard/api/logging/archive"
+      hx-target="#archive-result"
+      hx-swap="innerHTML"
+      style="display: inline"
+    >
+      <button type="submit" class="button secondary" style="font-size: 0.85rem">
+        Archive Old Logs
+      </button>
+    </form>
+    <span id="aggregate-result" style="font-size: 0.85rem; opacity: 0.6"></span>
+    <span id="archive-result" style="font-size: 0.85rem; opacity: 0.6"></span>
+  </div>
+  <div
+    id="log-table-container"
+    hx-get="/dashboard/fragment/logs"
+    hx-trigger="load, every 30s"
+    hx-swap="outerHTML"
+  >
+    <div style="text-align: center; padding: 20px; opacity: 0.5">
+      Loading logs...
+    </div>
+  </div>
+</section>
+
+{% endblock %} {% block scripts %}{% endblock %}

src/arbitrade/web/templates/pairings.html

@@ -0,0 +1,52 @@
+{% extends "_base.html" %} {% block title %}{{ title }}{% endblock %} {% block
+main_class %}shell{% endblock %} {% block header %} {% with
+page_title="Currency Pairings",
+page_subtitle="Enable/disable pairings, search, and sync from Kraken." %}
+{% include "_header.html" %} {% endwith %} {% endblock %} {% block content %}
+
+<div class="toolbar" style="margin-bottom: 16px; display: flex; gap: 8px">
+  <input
+    id="pairing-search"
+    type="text"
+    placeholder="Search pairings…"
+    value="{{ search or '' }}"
+    style="flex: 1; max-width: 300px"
+    hx-get="/dashboard/fragment/pairings"
+    hx-target="#pairings-table-container"
+    hx-trigger="keyup changed delay:300ms"
+    hx-include="#pairing-enabled-filter"
+    name="search"
+  />
+
+  <select
+    id="pairing-enabled-filter"
+    name="enabled"
+    hx-get="/dashboard/fragment/pairings"
+    hx-target="#pairings-table-container"
+    hx-trigger="change"
+    hx-include="#pairing-search"
+  >
+    <option value="all">All</option>
+    <option value="true" {{ 'selected' if enabled == 'true' else '' }}>
+      Enabled
+    </option>
+    <option value="false" {{ 'selected' if enabled == 'false' else '' }}>
+      Disabled
+    </option>
+  </select>
+
+  <button
+    class="button"
+    hx-post="/dashboard/api/pairings/sync"
+    hx-target="#pairings-table-container"
+    hx-swap="innerHTML"
+  >
+    Sync from Kraken
+  </button>
+</div>
+
+<div id="pairings-table-container">
+  {% include "partials/pairings_table.html" %}
+</div>
+
+{% endblock %}

src/arbitrade/web/templates/partials/backtesting_pairings.html

@@ -0,0 +1,31 @@
+{% for p in pairings %}
+<label
+  style="
+    display: inline-flex;
+    align-items: center;
+    gap: 4px;
+    padding: 3px 8px;
+    border: 1px solid rgba(255, 255, 255, 0.12);
+    border-radius: 4px;
+    cursor: pointer;
+    font-size: 0.85rem;
+  "
+>
+  <input
+    type="checkbox"
+    name="symbols"
+    value="{{ p.base_asset }}/{{ p.quote_asset }}"
+    {%
+    if
+    p.enabled
+    %}checked{%
+    endif
+    %}
+  />
+  {{ p.base_asset }}/{{ p.quote_asset }}
+</label>
+{% endfor %} {% if not pairings %}
+<span style="opacity: 0.5"
+  >No pairings available. Sync from Kraken in config page.</span
+>
+{% endif %}

src/arbitrade/web/templates/partials/backtesting_panel.html

@@ -0,0 +1,275 @@
+<div id="backtesting-shell" class="panel">
+  <div
+    class="grid"
+    style="grid-template-columns: repeat(auto-fit, minmax(280px, 1fr))"
+  >
+    <article class="card">
+      <div class="label">Run Status</div>
+      <div class="value">{{ status }}</div>
+      <div class="meta">{{ message }}</div>
+    </article>
+    <article class="card">
+      <div class="label">Latest Report</div>
+      {% if latest_report and latest_report.report and 'processed_events' in
+      latest_report.report %}
+      <div class="meta">Run at {{ latest_report.run_at }}</div>
+      <div class="meta">Events: {{ latest_report.events_path }}</div>
+      <div class="meta">
+        Processed: {{ latest_report.report.processed_events }}
+      </div>
+      <div class="meta">
+        Opportunities: {{ latest_report.report.opportunities_seen }}
+      </div>
+      <div class="meta">Trades: {{ latest_report.report.trades_executed }}</div>
+      <div class="meta">
+        Realized P&amp;L: {{
+        '%.4f'|format(latest_report.report.realized_pnl_usd) }} USD
+      </div>
+      <div class="meta">
+        Max drawdown: {{ '%.4f'|format(latest_report.report.max_drawdown_usd) }}
+        USD
+      </div>
+      {% elif latest_report %}
+      <div class="meta">
+        Job {{ latest_report.get('job_id','')[:8] }}... {{ latest_report.status
+        }}
+      </div>
+      <div class="meta">
+        {{ latest_report.get('error','Waiting for worker...') }}
+      </div>
+      {% else %}
+      <div class="meta">No runs yet.</div>
+      {% endif %}
+    </article>
+  </div>
+
+  <article class="card" style="margin-top: 16px">
+    <div class="label">Run Backtest</div>
+
+    {% if no_enabled_pairings %}
+    <div
+      class="flash"
+      style="
+        background: rgba(255, 193, 7, 0.15);
+        border: 1px solid rgba(255, 193, 7, 0.3);
+        border-radius: 8px;
+        padding: 10px 16px;
+        margin-bottom: 16px;
+        color: #ffe58f;
+        font-size: 0.9rem;
+      "
+    >
+      No enabled pairings found. Enable at least one pairing on the
+      <a href="/dashboard/config/pairings" style="color: #ffe58f"
+        >Pairings page</a
+      >
+      before running a backtest.
+    </div>
+    {% endif %} {% if flash_message %}
+    <div
+      class="flash"
+      style="
+        background: rgba(82, 196, 26, 0.15);
+        border: 1px solid rgba(82, 196, 26, 0.3);
+        border-radius: 8px;
+        padding: 10px 16px;
+        margin-bottom: 16px;
+        color: #b7eb8f;
+        font-size: 0.9rem;
+      "
+      hx-trigger="load delay:5s"
+      hx-target="this"
+      hx-swap="delete"
+    >
+      {{ flash_message }}
+    </div>
+    {% endif %}
+
+    <form
+      class="form-grid"
+      hx-post="{{ run_endpoint }}"
+      hx-target="#backtesting-shell"
+      hx-swap="outerHTML"
+    >
+      <input type="hidden" name="source" value="db" />
+      <input type="hidden" name="symbols" value="" />
+      <div class="meta" style="margin-bottom: 12px">
+        Pairings managed in
+        <a href="/dashboard/config/pairings">Configuration → Pairings</a>. Only
+        enabled pairings are backtested.
+      </div>
+
+      <!-- Required fields -->
+      <label class="field">
+        <span>Starting balances <span style="color: #ff4d4f">*</span></span>
+        <input
+          name="starting_balances"
+          type="text"
+          value="{{ starting_balances }}"
+          placeholder="USD=1000.0,BTC=0.0"
+        />
+      </label>
+      <label class="field">
+        <span>Start time <span style="color: #ff4d4f">*</span></span>
+        <input
+          name="start_time"
+          type="text"
+          value="{{ start_time | default('') }}"
+          placeholder="2025-01-01T00:00:00"
+        />
+      </label>
+      <label class="field">
+        <span>End time <span style="color: #ff4d4f">*</span></span>
+        <input
+          name="end_time"
+          type="text"
+          value="{{ end_time | default('') }}"
+          placeholder="2025-01-02T00:00:00"
+        />
+      </label>
+      <label class="field">
+        <span>Min profit threshold <span style="color: #ff4d4f">*</span></span>
+        <input
+          name="min_profit_threshold"
+          type="number"
+          min="0"
+          step="0.0001"
+          value="{{ min_profit_threshold }}"
+        />
+      </label>
+
+      <!-- Advanced -->
+      <details style="grid-column: 1 / -1; margin-top: 8px">
+        <summary style="cursor: pointer; opacity: 0.7; font-size: 0.85rem">
+          Advanced options (fee profile, slippage, latency)
+        </summary>
+        <div
+          class="form-grid"
+          style="
+            margin-top: 12px;
+            grid-template-columns: repeat(auto-fit, minmax(240px, 1fr));
+          "
+        >
+          <label class="field">
+            <span>Fee profile</span>
+            <select name="fee_profile">
+              {% set sel = "selected" if fee_profile == "api" else "" %}
+              <option value="api" {{ sel }}>api (from Kraken)</option>
+              {% set sel = "selected" if fee_profile == "standard" else "" %}
+              <option value="standard" {{ sel }}>standard</option>
+              {% set sel = "selected" if fee_profile == "maker_heavy" else "" %}
+              <option value="maker_heavy" {{ sel }}>maker_heavy</option>
+              {% set sel = "selected" if fee_profile == "taker_heavy" else "" %}
+              <option value="taker_heavy" {{ sel }}>taker_heavy</option>
+              {% set sel = "selected" if fee_profile == "custom" else "" %}
+              <option value="custom" {{ sel }}>custom</option>
+            </select>
+          </label>
+          <label class="field">
+            <span>Custom fee rate (if custom profile)</span>
+            <input
+              name="custom_fee_rate"
+              type="number"
+              min="0"
+              step="0.0001"
+              value="{{ custom_fee_rate }}"
+            />
+          </label>
+          <label class="field">
+            <span>Slippage (bps)</span>
+            <input
+              name="slippage_bps"
+              type="number"
+              min="0"
+              step="0.1"
+              value="{{ slippage_bps }}"
+            />
+          </label>
+          <label class="field">
+            <span>Execution latency (ms)</span>
+            <input
+              name="execution_latency_ms"
+              type="number"
+              min="0"
+              step="0.1"
+              value="{{ execution_latency_ms }}"
+            />
+          </label>
+        </div>
+      </details>
+
+      <button type="submit" class="button">Submit Job</button>
+    </form>
+  </article>
+
+  <article class="card" style="margin-top: 16px">
+    <div class="label">Recent Jobs</div>
+    {% if recent_reports %}
+    <div style="overflow-x: auto">
+      <table style="width: 100%; border-collapse: collapse; font-size: 0.85rem">
+        <thead>
+          <tr style="border-bottom: 1px solid rgba(255, 255, 255, 0.14)">
+            <th style="text-align: left; padding: 8px; color: #9fb2d0">Job</th>
+            <th style="text-align: left; padding: 8px; color: #9fb2d0">
+              Status
+            </th>
+            <th style="text-align: left; padding: 8px; color: #9fb2d0">
+              Events
+            </th>
+            <th style="text-align: left; padding: 8px; color: #9fb2d0">
+              Trades
+            </th>
+            <th style="text-align: left; padding: 8px; color: #9fb2d0">P&L</th>
+            <th style="text-align: left; padding: 8px; color: #9fb2d0">
+              Created
+            </th>
+            <th style="text-align: left; padding: 8px; color: #9fb2d0"></th>
+          </tr>
+        </thead>
+        <tbody>
+          {% for item in recent_reports %}
+          <tr style="border-bottom: 1px solid rgba(255, 255, 255, 0.06)">
+            <td style="padding: 8px">
+              <button
+                class="button secondary"
+                style="padding: 2px 8px; font-size: 0.8rem"
+                hx-get="/dashboard/backtesting/job/{{ item.job_id }}"
+                hx-target="#job-detail-{{ loop.index }}"
+                hx-swap="innerHTML"
+              >
+                {{ item.job_id[:8] }}...
+              </button>
+            </td>
+            <td style="padding: 8px">{{ item.status }}</td>
+            <td style="padding: 8px; color: #7f95b7">{{ item.events_path }}</td>
+            <td style="padding: 8px">
+              {{ item.report.trades_executed if item.report else "—" }}
+            </td>
+            <td style="padding: 8px">
+              {{ '%.2f'|format(item.report.realized_pnl_usd) if item.report and
+              item.report.realized_pnl_usd else "—" }}
+            </td>
+            <td style="padding: 8px; color: #7f95b7">{{ item.run_at[:19] }}</td>
+            <td style="padding: 8px">
+              <button
+                class="button danger"
+                style="padding: 2px 8px; font-size: 0.8rem"
+                hx-post="/dashboard/backtesting/job/{{ item.job_id }}/delete"
+                hx-target="#backtesting-shell"
+                hx-swap="outerHTML"
+                onclick="return confirm('Delete job {{ item.job_id[:8] }}...?');"
+              >
+                Del
+              </button>
+            </td>
+          </tr>
+          <tr id="job-detail-{{ loop.index }}"></tr>
+          {% endfor %}
+        </tbody>
+      </table>
+    </div>
+    {% else %}
+    <div class="meta">No jobs submitted yet.</div>
+    {% endif %}
+  </article>
+</div>

src/arbitrade/web/templates/partials/charts.html

@@ -7,7 +7,7 @@
   <div class="chart-head">
     <div>
       <div class="label">Opportunity Trend</div>
-      <div class="meta">Recent opportunities from DuckDB. Updated {{ generated_at }}</div>
+      <div class="meta">Recent opportunities from PostgreSQL. Updated {{ generated_at }}</div>
     </div>
     <button type="button" class="button secondary" x-on:click="expanded = !expanded">
       <span x-text="expanded ? 'Hide chart' : 'Show chart'"></span>

src/arbitrade/web/templates/partials/config.html

@@ -0,0 +1,37 @@
+<div id="config-panel" class="panel" style="margin-top: 16px">
+  {% if flash_message %}
+  <div
+    class="flash"
+    style="
+      background: rgba(82, 196, 26, 0.15);
+      border: 1px solid rgba(82, 196, 26, 0.3);
+      border-radius: 8px;
+      padding: 10px 16px;
+      margin-bottom: 16px;
+      color: #b7eb8f;
+      font-size: 0.9rem;
+    "
+    hx-trigger="load delay:3s"
+    hx-target="this"
+    hx-swap="delete"
+  >
+    {{ flash_message }}
+  </div>
+  {% endif %}
+  <form
+    class="form-grid"
+    hx-post="{{ config_endpoint }}"
+    hx-target="#config-panel"
+    hx-swap="outerHTML"
+    style="
+      grid-template-columns: repeat(auto-fit, minmax(320px, 1fr));
+      gap: 20px;
+    "
+  >
+    {% include "config/runtime.html" %} {% include "config/alerts.html" %} {%
+    include "config/kraken.html" %} {% include "config/risk.html" %}
+    <div style="grid-column: 1 / -1">
+      <button type="submit" class="button">Save Settings</button>
+    </div>
+  </form>
+</div>

src/arbitrade/web/templates/partials/controls.html

@@ -16,6 +16,10 @@
       <div class="meta">Trade capital: {{ trade_capital_usd }}</div>
       <div class="meta">Max trade capital: {{ max_trade_capital_usd }}</div>
       <div class="meta">Max concurrent trades: {{ max_concurrent_trades }}</div>
+      <div class="meta">Tradable pairs: {{ tradable_pairs_display }}</div>
+      <div class="meta">Strategy mode: {{ strategy_mode }}</div>
+      <div class="meta">Profit threshold: {{ strategy_profit_threshold }}</div>
+      <div class="meta">Max depth levels: {{ strategy_max_depth_levels }}</div>
     </article>
     <article class="card">
       <div class="label">Alerting</div>
@@ -71,51 +75,5 @@
         </form>
       </div>
     </article>
-    <article class="card">
-      <div class="label">Edit Config</div>
-      <form
-        class="form-grid"
-        hx-post="{{ config_endpoint }}"
-        hx-target="#controls-panel"
-        hx-swap="outerHTML"
-      >
-        <label class="field">
-          <span>Trade capital USD</span>
-          <input
-            name="trade_capital_usd"
-            type="number"
-            min="0"
-            step="0.01"
-            value="{{ trade_capital_usd_value }}"
-          />
-        </label>
-        <label class="field">
-          <span>Max trade capital USD</span>
-          <input
-            name="max_trade_capital_usd"
-            type="number"
-            min="0"
-            step="0.01"
-            value="{{ max_trade_capital_usd_value }}"
-          />
-        </label>
-        <label class="field">
-          <span>Max concurrent trades</span>
-          <input
-            name="max_concurrent_trades"
-            type="number"
-            min="1"
-            step="1"
-            value="{{ max_concurrent_trades_value }}"
-          />
-        </label>
-        <label class="field checkbox">
-          {% set check = "checked" if paper_trading_mode == "enabled" else "" %}
-          <input name="paper_trading_mode" type="checkbox" {{ check }} />
-          <span>Paper trading mode</span>
-        </label>
-        <button type="submit" class="button">Save config</button>
-      </form>
-    </article>
   </div>
 </div>

src/arbitrade/web/templates/partials/log_table.html

@@ -0,0 +1,72 @@
+<div id="log-table-container">
+  <div class="toolbar" style="display: flex; gap: 8px; margin-bottom: 12px">
+    <select
+      name="level"
+      hx-get="/dashboard/fragment/logs"
+      hx-target="#log-table-container"
+      hx-trigger="change"
+      hx-swap="outerHTML"
+    >
+      <option value="" {{ 'selected' if current_level == 'all' else '' }}>All</option>
+      <option value="INFO" {{ 'selected' if current_level == 'INFO' else '' }}>INFO</option>
+      <option value="WARNING" {{ 'selected' if current_level == 'WARNING' else '' }}>WARNING</option>
+      <option value="ERROR" {{ 'selected' if current_level == 'ERROR' else '' }}>ERROR</option>
+      <option value="CRITICAL" {{ 'selected' if current_level == 'CRITICAL' else '' }}>CRITICAL</option>
+    </select>
+    <span style="opacity: 0.6; font-size: 0.85rem">{{ total }} entries</span>
+  </div>
+
+  <table style="width: 100%; border-collapse: collapse; font-size: 0.82rem">
+    <thead>
+      <tr style="border-bottom: 1px solid rgba(255,255,255,0.1); text-align: left">
+        <th style="padding: 6px 8px">Time</th>
+        <th style="padding: 6px 8px">Level</th>
+        <th style="padding: 6px 8px">Logger</th>
+        <th style="padding: 6px 8px">Message</th>
+      </tr>
+    </thead>
+    <tbody>
+      {% for r in records %}
+      <tr style="border-bottom: 1px solid rgba(255,255,255,0.04)">
+        <td style="padding: 4px 8px; white-space: nowrap">
+          {{ r.recorded_at.strftime('%H:%M:%S') if r.recorded_at else '—' }}
+        </td>
+        <td style="padding: 4px 8px">
+          <span class="badge level-{{ r.level.lower() }}">{{ r.level }}</span>
+        </td>
+        <td style="padding: 4px 8px; opacity: 0.7; max-width: 200px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap">
+          {{ r.logger }}
+        </td>
+        <td style="padding: 4px 8px; max-width: 400px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap">
+          {{ r.message }}
+        </td>
+      </tr>
+      {% endfor %}
+      {% if not records %}
+      <tr>
+        <td colspan="4" style="padding: 20px; text-align: center; opacity: 0.5">No log entries found.</td>
+      </tr>
+      {% endif %}
+    </tbody>
+  </table>
+
+  <div class="toolbar" style="display: flex; gap: 8px; justify-content: center; margin-top: 12px">
+    {% if page > 1 %}
+    <button
+      class="button secondary"
+      hx-get="/dashboard/fragment/logs?level={{ current_level }}&page={{ page - 1 }}"
+      hx-target="#log-table-container"
+      hx-swap="outerHTML"
+    >Previous</button>
+    {% endif %}
+    <span style="opacity: 0.6; font-size: 0.85rem; padding: 0 8px">Page {{ page }} / {{ total_pages }}</span>
+    {% if page < total_pages %}
+    <button
+      class="button secondary"
+      hx-get="/dashboard/fragment/logs?level={{ current_level }}&page={{ page + 1 }}"
+      hx-target="#log-table-container"
+      hx-swap="outerHTML"
+    >Next</button>
+    {% endif %}
+  </div>
+</div>

src/arbitrade/web/templates/partials/overview.html

@@ -6,7 +6,7 @@
     </article>
     <article class="card">
       <div class="label">Balances</div>
-      <div class="value">{{ balances }}</div>
+      <div class="value">{{ balances | safe }}</div>
     </article>
     <article class="card">
       <div class="label">Open Trades</div>
@@ -16,6 +16,13 @@
       <div class="label">Realized P&amp;L</div>
       <div class="value">{{ realized_pnl_total }}</div>
     </article>
+    <article class="card">
+      <div class="label">Fee Tier</div>
+      <div class="value">{{ fee_tier }}</div>
+      <div class="meta">
+        Maker {{ maker_fee }} / Taker {{ taker_fee }} &middot; {{ fee_source }}
+      </div>
+    </article>
   </div>
 
   <div
@@ -44,9 +51,10 @@
         class="value"
         style="font-size: 1rem; font-weight: 500; word-break: break-word"
       >
-        {{ balances }}
+        {{ balances | safe }}
       </div>
       <div class="meta">Total value {{ total_value }}</div>
+      <div class="meta">Equity {{ equity }}</div>
     </article>
     <article class="card">
       <div class="label">Opportunity Feed</div>

src/arbitrade/web/templates/partials/pairings_table.html

@@ -0,0 +1,50 @@
+<table
+  class="pairings-table"
+  style="width: 100%; border-collapse: collapse; font-size: 0.85rem"
+>
+  <thead>
+    <tr
+      style="
+        border-bottom: 1px solid rgba(255, 255, 255, 0.1);
+        text-align: left;
+      "
+    >
+      <th style="padding: 6px 8px">Base</th>
+      <th style="padding: 6px 8px">Quote</th>
+      <th style="padding: 6px 8px">Source</th>
+      <th style="padding: 6px 8px; text-align: center">Enabled</th>
+    </tr>
+  </thead>
+  <tbody>
+    {% for p in pairings %}
+    <tr style="border-bottom: 1px solid rgba(255, 255, 255, 0.05)">
+      <td style="padding: 6px 8px">{{ p.base_asset }}</td>
+      <td style="padding: 6px 8px">{{ p.quote_asset }}</td>
+      <td style="padding: 6px 8px; opacity: 0.6">{{ p.source }}</td>
+      <td style="padding: 6px 8px; text-align: center">
+        <input
+          type="checkbox"
+          hx-post="/dashboard/api/pairings/toggle"
+          hx-vals='{"base_asset": "{{ p.base_asset }}", "quote_asset": "{{ p.quote_asset }}"}'
+          hx-trigger="change"
+          hx-target="#pairings-table-container"
+          hx-swap="innerHTML"
+          hx-include="#pairing-search"
+          {%
+          if
+          p.enabled
+          %}checked{%
+          endif
+          %}
+        />
+      </td>
+    </tr>
+    {% endfor %} {% if not pairings %}
+    <tr>
+      <td colspan="4" style="padding: 20px; text-align: center; opacity: 0.5">
+        No pairings found. Click "Sync from Kraken" to fetch available pairs.
+      </td>
+    </tr>
+    {% endif %}
+  </tbody>
+</table>

tests/e2e/__init__.py

@@ -0,0 +1 @@
+"""End-to-end tests — require full app startup with PostgreSQL."""

tests/integration/__init__.py

@@ -0,0 +1 @@
+"""Integration tests for PostgreSQL schema and connectivity."""

tests/integration/conftest.py

@@ -0,0 +1,27 @@
+"""pytest configuration for integration tests.
+
+Integration tests require a live PostgreSQL server at the configured host.
+They are skipped automatically if the server is unreachable.
+"""
+
+from __future__ import annotations
+
+import pathlib
+
+import pytest
+
+
+def pytest_ignore_collect(collection_path: pathlib.Path, config: pytest.Config) -> bool:
+    """Skip integration tests unless --integration is passed."""
+    if "integration" in str(collection_path) and not config.getoption("--integration", False):
+        return True
+    return False
+
+
+def pytest_addoption(parser: pytest.Parser) -> None:
+    parser.addoption(
+        "--integration",
+        action="store_true",
+        default=False,
+        help="Run integration tests (requires PostgreSQL)",
+    )

tests/integration/test_audit_repository.py

@@ -0,0 +1,51 @@
+from __future__ import annotations
+
+from collections.abc import AsyncIterator
+from contextlib import asynccontextmanager
+from datetime import UTC, datetime
+
+import pytest
+
+from arbitrade.config.settings import get_settings
+from arbitrade.storage.pg_store import PgStore
+from arbitrade.storage.repositories import AuditRecord, AuditRepository
+
+pytestmark = pytest.mark.integration
+
+
+@asynccontextmanager
+async def _pg() -> AsyncIterator[PgStore]:
+    s = get_settings()
+    store = PgStore(s)
+    try:
+        await store.start()
+        await store.migrate()
+        yield store
+    finally:
+        await store.stop()
+
+
+@pytest.mark.asyncio
+async def test_audit_repository_inserts_and_lists_recent() -> None:
+    async with _pg() as store:
+        repository = AuditRepository(store)
+
+        await repository.insert(
+            AuditRecord(
+                occurred_at=datetime.now(UTC),
+                actor="dashboard_user",
+                event_type="dashboard.control.start",
+                decision="approved",
+                payload={"execution_status": "running"},
+                correlation_id="req-1",
+            )
+        )
+
+        recent = await repository.list_recent(limit=5)
+
+        assert len(recent) == 1
+        assert recent[0].actor == "dashboard_user"
+        assert recent[0].event_type == "dashboard.control.start"
+        assert recent[0].decision == "approved"
+        assert recent[0].payload == {"execution_status": "running"}
+        assert recent[0].correlation_id == "req-1"

tests/integration/test_dashboard.py

@@ -170,7 +170,6 @@ async def test_dashboard_page_and_fragment_and_sse(tmp_path) -> None:
     assert 'hx-get="/dashboard/fragment/metrics"' in page.text
     assert 'hx-get="/dashboard/fragment/controls"' in page.text
     assert 'hx-get="/dashboard/fragment/charts"' in page.text
-    assert 'hx-get="/dashboard/fragment/audit"' in page.text
 
     assert fragment.status_code == 200
     assert "Realized P&L" in fragment.text
@@ -197,11 +196,12 @@ async def test_dashboard_page_and_fragment_and_sse(tmp_path) -> None:
 
     assert controls.status_code == 200
     assert "Runtime Status" in controls.text
-    assert ">running<" in controls.text
+    assert "running" in controls.text
     assert "Alerting" in controls.text
     assert "Last result" in controls.text
-    assert "Paper trading mode" in controls.text
+    assert "Paper trading" in controls.text
-    assert "Trade capital USD" in controls.text
+    assert "Tradable pairs" in controls.text
+    assert "Strategy mode" in controls.text
 
     assert charts.status_code == 200
     assert "Opportunity Trend" in charts.text
@@ -229,6 +229,10 @@ async def test_dashboard_controls_update_runtime_state_and_config(tmp_path) -> N
                 "trade_capital_usd": "250.50",
                 "max_trade_capital_usd": "300.00",
                 "max_concurrent_trades": "4",
+                "tradable_pairs": "BTC/USD, ETH/BTC, BTC/USD",
+                "strategy_mode": "paper",
+                "strategy_profit_threshold": "0.0025",
+                "strategy_max_depth_levels": "7",
                 "paper_trading_mode": "on",
             },
         )
@@ -247,10 +251,18 @@ async def test_dashboard_controls_update_runtime_state_and_config(tmp_path) -> N
     assert "250.50 USD" in config_response.text
     assert "300.00 USD" in config_response.text
     assert "4" in config_response.text
+    assert "BTC/USD, ETH/BTC" in config_response.text
+    assert "paper" in config_response.text
+    assert "0.002500" in config_response.text
+    assert "7" in config_response.text
     assert app.state.settings.trade_capital_usd == 250.5
     assert app.state.settings.max_trade_capital_usd == 300.0
     assert app.state.settings.max_concurrent_trades == 4
     assert app.state.settings.paper_trading_mode is True
+    assert app.state.dashboard_controls.tradable_pairs == ["BTC/USD", "ETH/BTC"]
+    assert app.state.dashboard_controls.strategy_mode == "paper"
+    assert app.state.dashboard_controls.strategy_profit_threshold == 0.0025
+    assert app.state.dashboard_controls.strategy_max_depth_levels == 7
 
     transport = httpx.ASGITransport(app=app)
     async with httpx.AsyncClient(transport=transport, base_url="http://test") as client:
@@ -319,3 +331,54 @@ async def test_dashboard_alert_status_api_exposes_notifier_snapshot(tmp_path) ->
     assert payload["enabled"] is True
     assert "configured_channels" in payload
     assert "last_result" in payload
+
+
+async def test_backtesting_page_run_and_recent_reports_api(tmp_path) -> None:
+    app = create_app(Settings(DUCKDB_PATH=tmp_path / "backtesting-ui.duckdb"))
+
+    events_file = tmp_path / "replay.jsonl"
+    events_file.write_text(
+        "\n".join(
+            [
+                '{"timestamp":"2026-06-01T12:00:00Z","symbol":"BTC/USD","bids":[[99.5,10.0]],"asks":[[100.0,10.0]]}',
+                '{"timestamp":"2026-06-01T12:00:01Z","symbol":"ETH/BTC","bids":[[0.051,10.0]],"asks":[[0.050,10.0]]}',
+                '{"timestamp":"2026-06-01T12:00:02Z","symbol":"ETH/USD","bids":[[110.0,10.0]],"asks":[[110.5,10.0]]}',
+            ]
+        ),
+        encoding="utf-8",
+    )
+
+    transport = httpx.ASGITransport(app=app)
+    async with httpx.AsyncClient(transport=transport, base_url="http://test") as client:
+        page = await client.get("/dashboard/backtesting")
+        fragment = await client.get("/dashboard/fragment/backtesting")
+        run = await client.post(
+            "/dashboard/backtesting/run",
+            data={
+                "source": "db",
+                "starting_balances": "USD=1000.0",
+                "trade_capital": "100.0",
+                "min_profit_threshold": "0.0005",
+                "fee_profile": "api",
+                "slippage_bps": "4.0",
+                "execution_latency_ms": "20.0",
+            },
+        )
+        reports = await client.get("/dashboard/api/backtesting/reports")
+
+    assert page.status_code == 200
+    assert "Backtesting" in page.text
+    assert "/dashboard/fragment/backtesting" in page.text
+
+    assert fragment.status_code == 200
+    assert "Run Backtest" in fragment.text
+    assert "Recent Jobs" in fragment.text
+
+    assert run.status_code == 200
+    assert "submitted" in run.text
+    assert "queued" in run.text
+
+    assert reports.status_code == 200
+    payload = reports.json()
+    assert len(payload["reports"]) >= 1
+    assert payload["reports"][0]["status"] == "pending"

tests/integration/test_execution_persistence.py

@@ -0,0 +1,103 @@
+from __future__ import annotations
+
+from collections.abc import AsyncIterator
+from contextlib import asynccontextmanager
+from dataclasses import dataclass
+from datetime import UTC, datetime
+
+import pytest
+
+from arbitrade.config.settings import get_settings
+from arbitrade.detection.engine import OpportunityEvent
+from arbitrade.execution.sequencer import TriangularExecutionSequencer
+from arbitrade.storage.executions import AsyncExecutionWriter
+from arbitrade.storage.pg_store import PgStore
+from arbitrade.storage.repositories import OrderRepository, PnLRepository, TradeRepository
+
+pytestmark = pytest.mark.integration
+
+
+@dataclass(slots=True)
+class _FakeRestClient:
+    calls: int = 0
+
+    async def place_market_order(self, *, pair: str, side: str, volume: float) -> dict[str, object]:
+        self.calls += 1
+        return {"txid": [f"tx-{self.calls}"], "status": "submitted"}
+
+
+def _sample_event() -> OpportunityEvent:
+    return OpportunityEvent(
+        detected_at=datetime.now(UTC),
+        cycle="USD->BTC->ETH->USD",
+        updated_pair="BTC/USD",
+        gross_rate=1.04,
+        net_rate=1.03,
+        gross_pct=4.0,
+        net_pct=3.0,
+        est_profit=0.03,
+    )
+
+
+@asynccontextmanager
+async def _pg() -> AsyncIterator[PgStore]:
+    s = get_settings()
+    store = PgStore(s)
+    try:
+        await store.start()
+        await store.migrate()
+        yield store
+    finally:
+        await store.stop()
+
+
+@pytest.mark.asyncio
+async def test_execution_writer_persists_trade_order_and_pnl() -> None:
+    async with _pg() as store:
+        writer = AsyncExecutionWriter(
+            TradeRepository(store),
+            OrderRepository(store),
+            PnLRepository(store),
+            max_queue_size=10,
+        )
+        await writer.start()
+
+        client = _FakeRestClient()
+        sequencer = TriangularExecutionSequencer(
+            client,
+            available_pairs=["BTC/USD", "ETH/BTC", "ETH/USD"],
+            execution_writer=writer,
+        )
+
+        result = await sequencer.execute(_sample_event())
+        await writer.stop()
+
+        assert result.success
+        assert client.calls == 3
+
+        async with store.pool.acquire() as conn:
+            trades = await conn.fetch(
+                "SELECT trade_ref, status, estimated_pnl, capital_used, cycle, leg_count FROM trades"
+            )
+            orders = await conn.fetch(
+                "SELECT trade_ref, order_ref, leg_index, pair, side, volume, status "
+                "FROM orders ORDER BY leg_index"
+            )
+            pnls = await conn.fetch("SELECT trade_ref, kind, pnl_usd, source FROM pnl_events")
+
+        assert len(trades) == 1
+        assert trades[0]["status"] == "filled"
+        assert trades[0]["estimated_pnl"] == 0.03
+        assert trades[0]["capital_used"] == 1.0
+        assert trades[0]["cycle"] == "USD->BTC->ETH->USD"
+        assert trades[0]["leg_count"] == 3
+
+        assert len(orders) == 3
+        assert orders[0]["leg_index"] == 0
+        assert orders[1]["leg_index"] == 1
+        assert orders[2]["leg_index"] == 2
+        assert orders[0]["status"] == "submitted"
+
+        assert len(pnls) == 1
+        assert pnls[0]["kind"] == "estimated"
+        assert pnls[0]["pnl_usd"] == 0.03

tests/integration/test_metrics.py

@@ -0,0 +1,133 @@
+from __future__ import annotations
+
+from collections.abc import AsyncIterator
+from contextlib import asynccontextmanager
+from datetime import UTC, datetime, timedelta
+
+import pytest
+
+from arbitrade.config.settings import get_settings
+from arbitrade.metrics import MetricsCalculator
+from arbitrade.storage.pg_store import PgStore
+
+pytestmark = pytest.mark.integration
+
+
+@asynccontextmanager
+async def _pg() -> AsyncIterator[PgStore]:
+    s = get_settings()
+    store = PgStore(s)
+    try:
+        await store.start()
+        await store.migrate()
+        yield store
+    finally:
+        await store.stop()
+
+
+@pytest.mark.asyncio
+async def test_metrics_calculator_summarizes_execution_data() -> None:
+    async with _pg() as store:
+        started = datetime.now(UTC)
+        finished = started + timedelta(seconds=30)
+        started_two = started + timedelta(minutes=1)
+        finished_two = started_two + timedelta(seconds=90)
+
+        async with store.pool.acquire() as conn:
+            await conn.execute(
+                """
+                INSERT INTO trades (
+                    trade_ref, started_at, finished_at, status,
+                    realized_pnl, estimated_pnl, capital_used, cycle, leg_count
+                ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9),
+                         ($10, $11, $12, $13, $14, $15, $16, $17, $18)
+                """,
+                "trade-1",
+                started,
+                finished,
+                "filled",
+                12.5,
+                10.0,
+                100.0,
+                "USD->BTC->ETH->USD",
+                3,
+                "trade-2",
+                started_two,
+                finished_two,
+                "filled",
+                -4.5,
+                -2.0,
+                200.0,
+                "USD->ETH->BTC->USD",
+                3,
+            )
+            await conn.execute(
+                """
+                INSERT INTO opportunities (detected_at, cycle, gross_pct, net_pct, est_profit, executed)
+                VALUES ($1, $2, $3, $4, $5, $6),
+                       ($7, $8, $9, $10, $11, $12),
+                       ($13, $14, $15, $16, $17, $18)
+                """,
+                started,
+                "USD->BTC->ETH->USD",
+                4.0,
+                3.0,
+                0.03,
+                True,
+                started_two,
+                "USD->ETH->BTC->USD",
+                2.0,
+                1.0,
+                0.01,
+                False,
+                started_two + timedelta(seconds=30),
+                "USD->BTC->ETH->USD",
+                5.0,
+                4.0,
+                0.04,
+                True,
+            )
+            await conn.execute(
+                """
+                INSERT INTO orders (
+                    trade_ref, order_ref, leg_index, pair, side, volume,
+                    user_ref, status, filled_volume, avg_price, raw_response, recorded_at
+                ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12),
+                         ($13, $14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24)
+                """,
+                "trade-1",
+                "order-1",
+                0,
+                "BTC/USD",
+                "buy",
+                2.0,
+                101,
+                "closed",
+                2.0,
+                100.0,
+                "{}",
+                started,
+                "trade-2",
+                "order-2",
+                0,
+                "ETH/USD",
+                "sell",
+                4.0,
+                202,
+                "closed",
+                3.0,
+                200.0,
+                "{}",
+                started_two,
+            )
+
+        metrics = await MetricsCalculator(store).compute()
+
+        assert metrics.realized_pnl_usd == 8.0
+        assert metrics.win_rate == 0.5
+        assert metrics.avg_trade_duration_seconds == 60.0
+        assert metrics.opportunities_per_minute == 2.0
+        assert metrics.fill_rate == 0.875
+        assert metrics.latency_p50_seconds == 60.0
+        assert metrics.latency_p95_seconds == 87.0
+        assert metrics.latency_p99_seconds == pytest.approx(89.4)

tests/integration/test_opportunity_writer.py

@@ -0,0 +1,61 @@
+from __future__ import annotations
+
+from collections.abc import AsyncIterator
+from contextlib import asynccontextmanager
+from datetime import UTC, datetime
+
+import pytest
+
+from arbitrade.config.settings import get_settings
+from arbitrade.detection.engine import OpportunityEvent
+from arbitrade.storage.opportunities import AsyncOpportunityWriter
+from arbitrade.storage.pg_store import PgStore
+from arbitrade.storage.repositories import OpportunityRepository
+
+pytestmark = pytest.mark.integration
+
+
+@asynccontextmanager
+async def _pg() -> AsyncIterator[PgStore]:
+    s = get_settings()
+    store = PgStore(s)
+    try:
+        await store.start()
+        await store.migrate()
+        yield store
+    finally:
+        await store.stop()
+
+
+@pytest.mark.asyncio
+async def test_async_opportunity_writer_persists_events() -> None:
+    async with _pg() as store:
+        repository = OpportunityRepository(store)
+        writer = AsyncOpportunityWriter(repository, max_queue_size=10)
+        await writer.start()
+
+        event = OpportunityEvent(
+            detected_at=datetime.now(UTC),
+            cycle="USD->BTC->ETH->USD",
+            updated_pair="BTC/USD",
+            gross_rate=1.04,
+            net_rate=1.03,
+            gross_pct=4.0,
+            net_pct=3.0,
+            est_profit=0.03,
+        )
+
+        await writer.enqueue(event)
+        await writer.stop()
+
+        async with store.pool.acquire() as conn:
+            rows = await conn.fetch(
+                "SELECT cycle, gross_pct, net_pct, est_profit, executed FROM opportunities"
+            )
+
+        assert len(rows) == 1
+        assert rows[0]["cycle"] == "USD->BTC->ETH->USD"
+        assert rows[0]["gross_pct"] == 4.0
+        assert rows[0]["net_pct"] == 3.0
+        assert rows[0]["est_profit"] == 0.03
+        assert rows[0]["executed"] is False

tests/integration/test_postgresql_schema.py

@@ -0,0 +1,424 @@
+"""Integration tests: verify PostgreSQL schema and connection.
+
+These tests connect to the PostgreSQL server at 192.168.88.35 and
+validate that all expected tables, columns, and constraints exist.
+They are skipped if the server is unreachable.
+"""
+
+from __future__ import annotations
+
+from collections.abc import AsyncIterator
+from contextlib import asynccontextmanager
+
+import pytest
+import pytest_asyncio
+
+from arbitrade.config.settings import get_settings
+from arbitrade.storage.pg_store import PgStore
+
+pytestmark = pytest.mark.integration
+
+
+# ── expected schema ──────────────────────────────────────────────────────────
+
+EXPECTED_TABLES: dict[str, list[str]] = {
+    "schema_migrations": ["version", "applied_at"],
+    "config_sections": ["id", "name", "description", "updated_at"],
+    "config_settings": [
+        "key",
+        "section",
+        "value_json",
+        "value_type",
+        "is_secret",
+        "is_runtime_reloadable",
+        "updated_at",
+        "updated_by",
+    ],
+    "config_pairings": [
+        "id",
+        "base_asset",
+        "quote_asset",
+        "enabled",
+        "source",
+        "created_at",
+        "updated_at",
+    ],
+    "config_backtesting_defaults": [
+        "id",
+        "starting_balances",
+        "trade_capital",
+        "min_profit_threshold",
+        "slippage_bps",
+        "execution_latency_ms",
+        "fee_source",
+    ],
+    "opportunities": [
+        "id",
+        "detected_at",
+        "cycle",
+        "gross_pct",
+        "net_pct",
+        "est_profit",
+        "executed",
+    ],
+    "trades": [
+        "id",
+        "trade_ref",
+        "started_at",
+        "finished_at",
+        "status",
+        "realized_pnl",
+        "estimated_pnl",
+        "capital_used",
+        "cycle",
+        "leg_count",
+    ],
+    "orders": [
+        "id",
+        "trade_ref",
+        "order_ref",
+        "leg_index",
+        "pair",
+        "side",
+        "volume",
+        "user_ref",
+        "status",
+        "filled_volume",
+        "avg_price",
+        "raw_response",
+        "recorded_at",
+    ],
+    "pnl_events": [
+        "id",
+        "trade_ref",
+        "recorded_at",
+        "kind",
+        "pnl_usd",
+        "source",
+    ],
+    "portfolio_snapshots": ["snapshot_at", "balances", "total_value_usd"],
+    "market_snapshots": ["snapshot_at", "symbol", "source", "payload", "latency_ms"],
+    "audit_events": [
+        "id",
+        "occurred_at",
+        "actor",
+        "event_type",
+        "decision",
+        "payload",
+        "correlation_id",
+    ],
+    "runtime_state_snapshots": [
+        "snapshot_at",
+        "is_running",
+        "kill_switch_active",
+        "kill_switch_reason",
+        "open_trade_count",
+        "last_known_balances",
+        "note",
+    ],
+    "kraken_account_snapshots": [
+        "snapshot_at",
+        "fee_tier",
+        "maker_fee",
+        "taker_fee",
+        "thirty_day_volume",
+        "trade_balance_raw",
+        "fee_schedule_raw",
+    ],
+    "backtest_jobs": [
+        "id",
+        "status",
+        "events_path",
+        "config",
+        "report",
+        "error",
+        "created_at",
+        "started_at",
+        "finished_at",
+    ],
+}
+
+# Tables that should have a primary key
+TABLES_WITH_PRIMARY_KEY: dict[str, str | list[str]] = {
+    "schema_migrations": "version",
+    "config_sections": "id",
+    "config_settings": "key",
+    "config_pairings": "id",
+    "config_backtesting_defaults": "id",
+    "opportunities": "id",
+    "trades": "id",
+    "orders": "id",
+    "pnl_events": "id",
+    "audit_events": "id",
+    "backtest_jobs": "id",
+}
+
+# Tables with a UNIQUE constraint beyond the primary key
+TABLES_WITH_UNIQUE_CONSTRAINTS: dict[str, list[str]] = {
+    "config_sections": ["name"],
+    "config_pairings": ["base_asset, quote_asset"],
+}
+
+
+# ── fixtures ────────────────────────────────────────────────────────────────
+
+
+@asynccontextmanager
+async def _pg_lifecycle() -> AsyncIterator[PgStore]:
+    """Connect, yield store, then disconnect."""
+    settings = get_settings()
+    store = PgStore(settings)
+    try:
+        await store.start()
+        yield store
+    finally:
+        await store.stop()
+
+
+@pytest_asyncio.fixture(name="pg")
+async def pg_fixture() -> AsyncIterator[PgStore]:
+    async with _pg_lifecycle() as store:
+        yield store
+
+
+# ── helpers ─────────────────────────────────────────────────────────────────
+
+
+async def _get_actual_tables(store: PgStore) -> dict[str, list[str]]:
+    """Return {table_name: [column_name, ...]} for the public schema."""
+    actual: dict[str, list[str]] = {}
+    async with store.pool.acquire() as conn:
+        rows = await conn.fetch(
+            "SELECT table_name, column_name FROM information_schema.columns "
+            "WHERE table_schema = 'public' ORDER BY table_name, ordinal_position"
+        )
+    for row in rows:
+        tbl: str = row["table_name"]
+        col: str = row["column_name"]
+        actual.setdefault(tbl, []).append(col)
+    return actual
+
+
+async def _table_row_count(store: PgStore, table: str) -> int:
+    async with store.pool.acquire() as conn:
+        row = await conn.fetchrow(f"SELECT COUNT(*) AS cnt FROM {table}")
+    return int(row["cnt"]) if row else 0
+
+
+# ── tests ───────────────────────────────────────────────────────────────────
+
+
+@pytest.mark.asyncio
+async def test_pg_connect(pg: PgStore) -> None:
+    """Can connect to PostgreSQL and ping the server."""
+    async with pg.pool.acquire() as conn:
+        val = await conn.fetchval("SELECT 1 AS val")
+    assert val == 1
+
+
+@pytest.mark.asyncio
+async def test_pgcrypto_extension(pg: PgStore) -> None:
+    """The pgcrypto extension is available (gen_random_uuid)."""
+    async with pg.pool.acquire() as conn:
+        val = await conn.fetchval("SELECT gen_random_uuid()")
+    assert val is not None
+    # The result should be a UUID object
+    assert len(str(val)) == 36  # UUID string length
+
+
+@pytest.mark.asyncio
+async def test_schema_migration_applies(pg: PgStore) -> None:
+    """Migrate creates all expected tables."""
+    await pg.migrate()
+    actual = await _get_actual_tables(pg)
+
+    for table in EXPECTED_TABLES:
+        assert table in actual, (
+            f"Table '{table}' missing after migration. " f"Found tables: {sorted(actual)}"
+        )
+
+
+@pytest.mark.asyncio
+async def test_migration_is_idempotent(pg: PgStore) -> None:
+    """Running migrate twice does not raise."""
+    await pg.migrate()
+    await pg.migrate()  # second call should be a no-op
+    actual = await _get_actual_tables(pg)
+    for table in EXPECTED_TABLES:
+        assert table in actual
+
+
+@pytest.mark.asyncio
+async def test_table_columns(pg: PgStore) -> None:
+    """Every expected table has the correct columns."""
+    await pg.migrate()
+    actual = await _get_actual_tables(pg)
+
+    for table, expected_cols in EXPECTED_TABLES.items():
+        actual_cols = actual.get(table, [])
+        for col in expected_cols:
+            assert col in actual_cols, (
+                f"Column '{col}' missing from table '{table}'. " f"Actual columns: {actual_cols}"
+            )
+
+
+@pytest.mark.asyncio
+async def test_primary_keys(pg: PgStore) -> None:
+    """Tables that should have primary keys do."""
+    await pg.migrate()
+    async with pg.pool.acquire() as conn:
+        for table, expected_pk in TABLES_WITH_PRIMARY_KEY.items():
+            rows = await conn.fetch(
+                "SELECT kcu.column_name FROM information_schema.table_constraints tc "
+                "JOIN information_schema.key_column_usage kcu "
+                "ON tc.constraint_name = kcu.constraint_name "
+                "WHERE tc.table_schema = 'public' AND tc.table_name = $1 "
+                "AND tc.constraint_type = 'PRIMARY KEY' "
+                "ORDER BY kcu.ordinal_position",
+                table,
+            )
+            pk_columns = [r["column_name"] for r in rows]
+            expected_list = [expected_pk] if isinstance(expected_pk, str) else expected_pk
+            for col in expected_list:
+                assert col in pk_columns, (
+                    f"Table '{table}' should have PK column '{col}'. "
+                    f"Actual PK columns: {pk_columns}"
+                )
+
+
+@pytest.mark.asyncio
+async def test_unique_constraints(pg: PgStore) -> None:
+    """Tables that should have UNIQUE constraints do."""
+    await pg.migrate()
+    async with pg.pool.acquire() as conn:
+        for table, expected_ucs in TABLES_WITH_UNIQUE_CONSTRAINTS.items():
+            rows = await conn.fetch(
+                "SELECT kcu.column_name FROM information_schema.table_constraints tc "
+                "JOIN information_schema.key_column_usage kcu "
+                "ON tc.constraint_name = kcu.constraint_name "
+                "WHERE tc.table_schema = 'public' AND tc.table_name = $1 "
+                "AND tc.constraint_type = 'UNIQUE'",
+                table,
+            )
+            uc_columns = {r["column_name"] for r in rows}
+            for expected_cols in expected_ucs:
+                cols = [c.strip() for c in expected_cols.split(",")]
+                for col in cols:
+                    assert col in uc_columns, (
+                        f"Table '{table}' should have UNIQUE column '{col}'. "
+                        f"Actual UNIQUE columns: {uc_columns}"
+                    )
+
+
+@pytest.mark.asyncio
+async def test_table_row_count_is_zero(pg: PgStore) -> None:
+    """All tables start empty after migration."""
+    await pg.migrate()
+    for table in EXPECTED_TABLES:
+        count = await _table_row_count(pg, table)
+        assert count == 0, (
+            f"Table '{table}' should be empty after migration, " f"but has {count} rows"
+        )
+
+
+@pytest.mark.asyncio
+async def test_schema_migration_version_recorded(pg: PgStore) -> None:
+    """schema_migrations has the expected version after migrate."""
+    from arbitrade.storage.pg_store import SCHEMA_VERSION
+
+    await pg.migrate()
+    async with pg.pool.acquire() as conn:
+        row = await conn.fetchrow("SELECT MAX(version) AS v FROM schema_migrations")
+    assert row is not None
+    assert row["v"] == SCHEMA_VERSION, (
+        f"Expected schema version {SCHEMA_VERSION}, " f"got {row['v']}"
+    )
+
+
+@pytest.mark.asyncio
+async def test_create_and_query_row(pg: PgStore) -> None:
+    """Can INSERT a row and SELECT it back (round-trip for a simple table)."""
+    await pg.migrate()
+    async with pg.pool.acquire() as conn:
+        # ConfigSections round-trip
+        await conn.execute(
+            "INSERT INTO config_sections (name, description) VALUES ($1, $2)",
+            "test_section",
+            "A test section for integration test",
+        )
+        row = await conn.fetchrow(
+            "SELECT name, description FROM config_sections WHERE name = $1",
+            "test_section",
+        )
+        assert row is not None
+        assert row["name"] == "test_section"
+        assert row["description"] == "A test section for integration test"
+
+        # Clean up
+        await conn.execute(
+            "DELETE FROM config_sections WHERE name = $1",
+            "test_section",
+        )
+
+
+@pytest.mark.asyncio
+async def test_config_pairings_upsert(pg: PgStore) -> None:
+    """ON CONFLICT ... DO UPDATE works on config_pairings (unique constraint)."""
+    await pg.migrate()
+    from arbitrade.config.service import ConfigPairing
+    from arbitrade.storage.repositories import ConfigPairingRepository
+
+    repo = ConfigPairingRepository(pg)
+
+    # Insert
+    p1 = await repo.upsert_pairing(
+        ConfigPairing(base_asset="XBT", quote_asset="USD", enabled=True, source="kraken")
+    )
+    assert p1.id is not None
+    assert p1.base_asset == "XBT"
+    assert p1.enabled is True
+
+    # Upsert (update)
+    p2 = await repo.upsert_pairing(
+        ConfigPairing(base_asset="XBT", quote_asset="USD", enabled=False, source="manual")
+    )
+    assert p2.id == p1.id  # same row
+    assert p2.enabled is False
+    assert p2.source == "manual"
+
+    # Clean up
+    deleted = await repo.delete_pairing("XBT", "USD")
+    assert deleted is True
+
+
+@pytest.mark.asyncio
+async def test_audit_list_recent(pg: PgStore) -> None:
+    """AuditRepository.list_recent returns records in desc order."""
+    await pg.migrate()
+    from datetime import UTC, datetime
+
+    from arbitrade.storage.repositories import AuditRecord, AuditRepository
+
+    repo = AuditRepository(pg)
+    now = datetime.now(UTC)
+
+    # Insert a few records
+    for i in range(3):
+        await repo.insert(
+            AuditRecord(
+                occurred_at=now,
+                actor="test",
+                event_type="integration_test",
+                decision=f"decision_{i}",
+                payload={"index": i},
+                correlation_id=f"corr_{i}",
+            )
+        )
+
+    recent = await repo.list_recent(limit=5)
+    assert len(recent) >= 3
+    assert recent[0].decision in ("decision_2", "decision_1", "decision_0")
+    # Verify payload serialization worked
+    first = recent[0]
+    if first.payload:
+        assert "index" in first.payload

tests/unit/test_audit_repository.py

@@ -1,34 +0,0 @@
-from __future__ import annotations
-
-from datetime import UTC, datetime
-
-from arbitrade.config.settings import Settings
-from arbitrade.storage.db import DuckDBStore
-from arbitrade.storage.repositories import AuditRecord, AuditRepository
-
-
-def test_audit_repository_inserts_and_lists_recent(tmp_path) -> None:
-    settings = Settings(_env_file=None, DUCKDB_PATH=tmp_path / "audit.duckdb")
-    store = DuckDBStore(settings)
-    store.migrate()
-    repository = AuditRepository(store)
-
-    repository.insert(
-        AuditRecord(
-            occurred_at=datetime.now(UTC),
-            actor="dashboard_user",
-            event_type="dashboard.control.start",
-            decision="approved",
-            payload={"execution_status": "running"},
-            correlation_id="req-1",
-        )
-    )
-
-    recent = repository.list_recent(limit=5)
-
-    assert len(recent) == 1
-    assert recent[0].actor == "dashboard_user"
-    assert recent[0].event_type == "dashboard.control.start"
-    assert recent[0].decision == "approved"
-    assert recent[0].payload == {"execution_status": "running"}
-    assert recent[0].correlation_id == "req-1"

tests/unit/test_backtesting_replay.py

@@ -67,13 +67,11 @@ def test_backtest_replay_engine_runs_deterministically() -> None:
     engine = BacktestReplayEngine(
         cycles_by_pair=cycles_by_pair,
         available_pairs=available_pairs,
-        config=BacktestConfig(trade_capital=100.0,
+        config=BacktestConfig(trade_capital=100.0, slippage_bps=5.0, execution_latency_ms=10.0),
-                              slippage_bps=5.0, execution_latency_ms=10.0),
         started_at=started_at,
     )
 
-    report = asyncio.run(engine.run(
+    report = asyncio.run(engine.run(replay_events, starting_balances={"USD": 1000.0}))
-        replay_events, starting_balances={"USD": 1000.0}))
 
     assert report.processed_events == 3
     assert report.opportunities_seen >= 0

tests/unit/test_backtesting_sweep.py

@@ -0,0 +1,102 @@
+from __future__ import annotations
+
+from datetime import UTC, datetime, timedelta
+
+from arbitrade.backtesting.replay import ReplayBookEvent
+from arbitrade.backtesting.sweep import (
+    PromotionCriteria,
+    SweepResult,
+    build_parameter_grid,
+    run_parameter_search,
+    split_events_time_windows,
+)
+from arbitrade.detection.graph import CurrencyGraph
+from arbitrade.exchange.models import BookLevel
+
+
+def _build_cycles() -> dict[str, list]:
+    graph = CurrencyGraph()
+    graph.add_pair("USD", "BTC", "BTC/USD")
+    graph.add_pair("BTC", "ETH", "ETH/BTC")
+    graph.add_pair("ETH", "USD", "ETH/USD")
+    return graph.index_cycles_by_pair(graph.triangular_cycles())
+
+
+def _events() -> list[ReplayBookEvent]:
+    base_time = datetime(2026, 6, 1, 12, 0, tzinfo=UTC)
+    rows: list[ReplayBookEvent] = []
+    for index in range(12):
+        tick = base_time + timedelta(seconds=index)
+        rows.extend(
+            [
+                ReplayBookEvent(
+                    occurred_at=tick,
+                    symbol="BTC/USD",
+                    bids=(BookLevel(price=99.5, volume=10.0),),
+                    asks=(BookLevel(price=100.0, volume=10.0),),
+                ),
+                ReplayBookEvent(
+                    occurred_at=tick,
+                    symbol="ETH/BTC",
+                    bids=(BookLevel(price=0.051, volume=10.0),),
+                    asks=(BookLevel(price=0.050, volume=10.0),),
+                ),
+                ReplayBookEvent(
+                    occurred_at=tick,
+                    symbol="ETH/USD",
+                    bids=(BookLevel(price=110.0, volume=10.0),),
+                    asks=(BookLevel(price=110.5, volume=10.0),),
+                ),
+            ]
+        )
+    return rows
+
+
+def test_split_events_time_windows_returns_non_empty_train_and_test() -> None:
+    train, test = split_events_time_windows(_events(), train_ratio=0.7)
+
+    assert train
+    assert test
+    assert train[-1].occurred_at <= test[0].occurred_at
+
+
+def test_build_parameter_grid_expands_combinations() -> None:
+    grid = build_parameter_grid(
+        theta_values=[0.0005, 0.001],
+        trade_capital_values=[100.0],
+        pair_universes=[["BTC/USD", "ETH/BTC", "ETH/USD"]],
+        staleness_threshold_values=[3.0, 5.0],
+    )
+
+    assert len(grid) == 4
+
+
+def test_run_parameter_search_produces_ranked_results_with_overfit_guard() -> None:
+    artifacts = run_parameter_search(
+        events=_events(),
+        cycles_by_pair=_build_cycles(),
+        parameter_grid=build_parameter_grid(
+            theta_values=[0.0005, 0.001],
+            trade_capital_values=[75.0, 100.0],
+            pair_universes=[["BTC/USD", "ETH/BTC", "ETH/USD"]],
+            staleness_threshold_values=[5.0],
+        ),
+        starting_balances={"USD": 2000.0},
+        train_ratio=0.7,
+        promotion_criteria=PromotionCriteria(
+            min_test_realized_pnl_usd=-1000.0,
+            min_test_win_rate=0.0,
+            min_test_fill_rate=0.0,
+            max_test_drawdown_usd=1_000_000.0,
+            max_generalization_gap_ratio=0.9,
+        ),
+    )
+
+    assert artifacts.results
+    assert artifacts.results[0].test_score >= artifacts.results[-1].test_score
+
+    first: SweepResult = artifacts.results[0]
+    assert first.train_event_count > 0
+    assert first.test_event_count > 0
+    assert first.generalization_gap_ratio >= 0.0
+    assert isinstance(first.promotion_ready, bool)

tests/unit/test_config_e2e.py

@@ -0,0 +1,61 @@
+"""End-to-end test for configuration management system."""
+
+from unittest.mock import AsyncMock, MagicMock, Mock, patch
+
+import pytest
+
+from arbitrade.config.service import ConfigurationService
+from arbitrade.config.settings import Settings
+from arbitrade.storage.repositories import AuditRepository
+
+
+@pytest.mark.asyncio
+async def test_end_to_end_config_workflow():
+    """Test complete configuration workflow."""
+    # Create mocks
+    settings = Mock(spec=Settings)
+    cursor = Mock()
+    cursor.fetchone.return_value = None
+    cursor.fetchall.return_value = []
+    cursor.execute.return_value = cursor
+    cntx = MagicMock()
+    cntx.__enter__.return_value = cursor
+    store = Mock()
+    store.connect.return_value = cntx
+    audit_repo = Mock(spec=AuditRepository)
+
+    # Create service
+    service = ConfigurationService(settings, store, audit_repo)
+
+    # Test initial state
+    assert service.get_config_version() == 0
+    assert service.get_last_updated_at() is None
+
+    # Test setting a value
+    with patch("arbitrade.storage.repositories.ConfigSettingRepository") as mock_repo_class:
+        mock_repo_instance = Mock()
+        mock_repo_class.return_value = mock_repo_instance
+
+        # Mock the setting creation
+        mock_created_setting = Mock()
+        mock_created_setting.updated_at = "2023-01-01T00:00:00"
+        mock_repo_instance.create_setting = AsyncMock(return_value=mock_created_setting)
+        mock_repo_instance.get_setting = AsyncMock(return_value=None)
+        mock_repo_instance.get_latest_updated_at = AsyncMock(return_value=None)
+        mock_repo_instance.list_settings = AsyncMock(return_value=[])
+
+        # Set a setting
+        await service.set_setting("test_key", "test_value", "test_user")
+
+        # Verify setting was retrieved
+        result = service.get_setting("test_key", "default")
+        assert result == "test_value"
+
+        # Verify version incremented
+        assert service.get_config_version() == 1
+        assert service.get_last_updated_at() is not None
+
+
+if __name__ == "__main__":
+    test_end_to_end_config_workflow()
+    print("End-to-end test passed!")

tests/unit/test_config_repositories.py

@@ -0,0 +1,205 @@
+"""Unit tests for configuration repositories."""
+
+from unittest.mock import AsyncMock, MagicMock
+
+import pytest
+
+from arbitrade.config.service import (
+    ConfigPairing,
+    ConfigSetting,
+)
+from arbitrade.storage.repositories import (
+    ConfigBacktestingDefaultsRepository,
+    ConfigPairingRepository,
+    ConfigSettingRepository,
+)
+
+
+@pytest.fixture
+def mock_store():
+    """Create a mock database store with async pool."""
+    store = MagicMock()
+    conn = AsyncMock()
+    conn.fetchone = AsyncMock(return_value=None)
+    conn.fetchall = AsyncMock(return_value=[])
+    conn.fetch = AsyncMock(return_value=[])
+    conn.execute = AsyncMock(return_value=conn)
+    store.pool = MagicMock()
+    cm = AsyncMock()
+    cm.__aenter__.return_value = conn
+    store.pool.acquire.return_value = cm
+    return store
+
+
+def _make_row(mapping: dict):
+    row = MagicMock()
+    row.__getitem__.side_effect = lambda k: mapping[k]
+    return row
+
+
+SETTING_ROW = {
+    "key": "test_key",
+    "section": "test_section",
+    "value_json": "test_value",
+    "value_type": "str",
+    "is_secret": False,
+    "is_runtime_reloadable": False,
+    "updated_at": "2023-01-01T00:00:00",
+    "updated_by": "test_user",
+}
+
+PAIRING_ROW = {
+    "id": 1,
+    "base_asset": "BTC",
+    "quote_asset": "USD",
+    "enabled": True,
+    "source": "Kraken",
+    "created_at": "2023-01-01T00:00:00",
+    "updated_at": "2023-01-01T00:00:00",
+}
+
+
+def test_config_setting_repository_initialization(mock_store):
+    """Test ConfigSettingRepository initialization."""
+    repo = ConfigSettingRepository(mock_store)
+    assert repo._store == mock_store
+
+
+@pytest.mark.asyncio
+async def test_config_setting_repository_create_setting(mock_store):
+    """Test creating a configuration setting."""
+    repo = ConfigSettingRepository(mock_store)
+    conn = await mock_store.pool.acquire().__aenter__()
+    conn.fetchrow = AsyncMock(return_value=_make_row(SETTING_ROW))
+
+    setting = ConfigSetting(
+        key="test_key",
+        section="test_section",
+        value_json="test_value",
+        value_type="str",
+        is_secret=False,
+        is_runtime_reloadable=False,
+        updated_by="test_user",
+    )
+
+    result = await repo.create_setting(setting)
+
+    assert result.key == "test_key"
+    assert result.section == "test_section"
+    assert result.value_json == "test_value"
+    assert result.value_type == "str"
+    assert result.updated_by == "test_user"
+
+
+@pytest.mark.asyncio
+async def test_config_setting_repository_get_setting(mock_store):
+    """Test getting a configuration setting."""
+    repo = ConfigSettingRepository(mock_store)
+    conn = await mock_store.pool.acquire().__aenter__()
+    conn.fetchrow = AsyncMock(return_value=_make_row(SETTING_ROW))
+
+    result = await repo.get_setting("test_key")
+
+    assert result is not None
+    assert result.key == "test_key"
+    assert result.section == "test_section"
+    assert result.value_json == "test_value"
+    assert result.value_type == "str"
+    assert result.updated_by == "test_user"
+
+
+@pytest.mark.asyncio
+async def test_config_setting_repository_update_setting(mock_store):
+    """Test updating a configuration setting."""
+    repo = ConfigSettingRepository(mock_store)
+    conn = await mock_store.pool.acquire().__aenter__()
+    conn.fetchrow = AsyncMock(return_value=_make_row(SETTING_ROW))
+
+    setting = ConfigSetting(
+        key="test_key",
+        section="test_section",
+        value_json="updated_value",
+        value_type="str",
+        is_secret=False,
+        is_runtime_reloadable=False,
+        updated_by="test_user",
+    )
+
+    result = await repo.update_setting("test_key", setting)
+
+    assert result.key == "test_key"
+
+
+@pytest.mark.asyncio
+async def test_config_setting_repository_list_settings(mock_store):
+    """Test listing configuration settings."""
+    repo = ConfigSettingRepository(mock_store)
+    conn = await mock_store.pool.acquire().__aenter__()
+
+    row1 = _make_row({**SETTING_ROW, "key": "test_key1", "value_json": "test_value1"})
+    row2 = _make_row({**SETTING_ROW, "key": "test_key2", "value_json": "test_value2"})
+    conn.fetch = AsyncMock(return_value=[row1, row2])
+
+    result = await repo.list_settings()
+
+    assert len(result) == 2
+    assert result[0].key == "test_key1"
+    assert result[1].key == "test_key2"
+
+
+@pytest.mark.asyncio
+async def test_config_setting_repository_get_latest_updated_at(mock_store):
+    """Test getting latest updated timestamp."""
+    repo = ConfigSettingRepository(mock_store)
+    conn = await mock_store.pool.acquire().__aenter__()
+
+    row = _make_row({"latest_updated_at": "2023-01-01T00:00:00"})
+    conn.fetchrow = AsyncMock(return_value=row)
+
+    result = await repo.get_latest_updated_at()
+
+    assert result is not None
+
+
+def test_config_pairing_repository_initialization(mock_store):
+    """Test ConfigPairingRepository initialization."""
+    repo = ConfigPairingRepository(mock_store)
+    assert repo._store == mock_store
+
+
+@pytest.mark.asyncio
+async def test_config_pairing_repository_create_pairing(mock_store):
+    """Test creating a currency pairing."""
+    repo = ConfigPairingRepository(mock_store)
+    conn = await mock_store.pool.acquire().__aenter__()
+    conn.fetchrow = AsyncMock(return_value=_make_row(PAIRING_ROW))
+
+    pairing = ConfigPairing(base_asset="BTC", quote_asset="USD", enabled=True, source="Kraken")
+
+    result = await repo.create_pairing(pairing)
+
+    assert result.base_asset == "BTC"
+    assert result.quote_asset == "USD"
+    assert result.enabled is True
+    assert result.source == "Kraken"
+
+
+@pytest.mark.asyncio
+async def test_config_pairing_repository_get_pairing(mock_store):
+    """Test getting a currency pairing."""
+    repo = ConfigPairingRepository(mock_store)
+    conn = await mock_store.pool.acquire().__aenter__()
+    conn.fetchrow = AsyncMock(return_value=_make_row(PAIRING_ROW))
+
+    result = await repo.get_pairing("BTC", "USD")
+
+    assert result.base_asset == "BTC"
+    assert result.quote_asset == "USD"
+    assert result.enabled is True
+    assert result.source == "Kraken"
+
+
+def test_config_backtesting_defaults_repository_initialization(mock_store):
+    """Test ConfigBacktestingDefaultsRepository initialization."""
+    repo = ConfigBacktestingDefaultsRepository(mock_store)
+    assert repo._store == mock_store

tests/unit/test_config_service.py

@@ -0,0 +1,152 @@
+"""Unit tests for configuration management system."""
+
+from unittest.mock import AsyncMock, MagicMock, Mock, patch
+
+import pytest
+
+from arbitrade.config.service import ConfigurationService
+from arbitrade.config.settings import Settings
+from arbitrade.storage.repositories import AuditRepository
+
+
+@pytest.fixture
+def mock_settings():
+    """Create a mock settings object."""
+    settings = Mock(spec=Settings)
+    settings.app_env = "test"
+    return settings
+
+
+@pytest.fixture
+def mock_store():
+    """Create a mock database store (sync — repos are patched)."""
+    store = MagicMock()
+    store.pool = MagicMock()
+    return store
+
+
+@pytest.fixture
+def mock_audit_repo():
+    """Create a mock audit repository."""
+    audit_repo = Mock(spec=AuditRepository)
+    return audit_repo
+
+
+def test_configuration_service_initialization(mock_settings, mock_store, mock_audit_repo):
+    """Test that ConfigurationService initializes correctly."""
+    service = ConfigurationService(mock_settings, mock_store, mock_audit_repo)
+
+    assert service._settings == mock_settings
+    assert service._store == mock_store
+    assert service._audit_repo == mock_audit_repo
+    assert service._config_version == 0
+    assert isinstance(service._loaded_settings, dict)
+
+
+def test_configuration_service_get_setting(mock_settings, mock_store, mock_audit_repo):
+    """Test getting configuration settings."""
+    service = ConfigurationService(mock_settings, mock_store, mock_audit_repo)
+    service._loaded_settings = {"test_key": "test_value"}
+
+    assert service.get_setting("test_key", "default") == "test_value"
+    assert service.get_setting("non_existing", "default") == "default"
+
+
+@pytest.mark.asyncio
+async def test_configuration_service_set_setting(mock_settings, mock_store, mock_audit_repo):
+    """Test setting configuration settings."""
+    service = ConfigurationService(mock_settings, mock_store, mock_audit_repo)
+
+    with patch("arbitrade.storage.repositories.ConfigSettingRepository") as mock_repo_class:
+        mock_repo_instance = Mock()
+        mock_repo_class.return_value = mock_repo_instance
+
+        mock_created_setting = Mock()
+        mock_created_setting.updated_at = "2023-01-01T00:00:00"
+        mock_repo_instance.create_setting = AsyncMock(return_value=mock_created_setting)
+        mock_repo_instance.get_setting = AsyncMock(return_value=None)
+
+        await service.set_setting("test_key", "test_value", "test_user")
+
+        mock_repo_instance.create_setting.assert_awaited_once()
+
+
+@pytest.mark.asyncio
+async def test_configuration_service_hot_reload_detection(
+    mock_settings, mock_store, mock_audit_repo
+):
+    """Test hot-reload detection functionality."""
+    service = ConfigurationService(mock_settings, mock_store, mock_audit_repo)
+
+    with patch("arbitrade.storage.repositories.ConfigSettingRepository") as mock_repo_class:
+        mock_repo_instance = Mock()
+        mock_repo_class.return_value = mock_repo_instance
+
+        mock_repo_instance.get_latest_updated_at = AsyncMock(return_value=None)
+        assert await service.is_config_outdated() is False
+
+        from datetime import datetime
+
+        mock_repo_instance.get_latest_updated_at = AsyncMock(return_value=datetime.now())
+        assert await service.is_config_outdated() is True
+
+
+@pytest.mark.asyncio
+async def test_configuration_service_reload_if_changed(mock_settings, mock_store, mock_audit_repo):
+    """Test hot-reload functionality."""
+    service = ConfigurationService(mock_settings, mock_store, mock_audit_repo)
+
+    with patch("arbitrade.storage.repositories.ConfigSettingRepository") as mock_repo_class:
+        mock_repo_instance = Mock()
+        mock_repo_class.return_value = mock_repo_instance
+
+        mock_repo_instance.get_latest_updated_at = AsyncMock(return_value=None)
+        mock_repo_instance.list_settings = AsyncMock(return_value=[])
+
+        from datetime import datetime
+
+        mock_repo_instance.get_latest_updated_at = AsyncMock(return_value=datetime.now())
+
+        result = await service.reload_if_changed()
+        assert result is True
+        assert service.get_config_version() == 1
+
+
+@pytest.mark.asyncio
+async def test_configuration_service_get_config_version(mock_settings, mock_store, mock_audit_repo):
+    """Test getting configuration version."""
+    service = ConfigurationService(mock_settings, mock_store, mock_audit_repo)
+    assert service.get_config_version() == 0
+
+    with patch("arbitrade.storage.repositories.ConfigSettingRepository") as mock_repo_class:
+        mock_repo_instance = Mock()
+        mock_repo_class.return_value = mock_repo_instance
+
+        mock_created_setting = Mock()
+        mock_created_setting.updated_at = "2023-01-01T00:00:00"
+        mock_repo_instance.create_setting = AsyncMock(return_value=mock_created_setting)
+        mock_repo_instance.get_setting = AsyncMock(return_value=None)
+
+        await service.set_setting("test_key", "test_value", "test_user")
+        assert service.get_config_version() == 1
+
+
+@pytest.mark.asyncio
+async def test_configuration_service_get_last_updated_at(
+    mock_settings, mock_store, mock_audit_repo
+):
+    """Test getting last updated timestamp."""
+    service = ConfigurationService(mock_settings, mock_store, mock_audit_repo)
+    assert service.get_last_updated_at() is None
+
+    with patch("arbitrade.storage.repositories.ConfigSettingRepository") as mock_repo_class:
+        mock_repo_instance = Mock()
+        mock_repo_class.return_value = mock_repo_instance
+
+        mock_created_setting = Mock()
+        mock_created_setting.updated_at = "2023-01-01T00:00:00"
+        mock_repo_instance.create_setting = AsyncMock(return_value=mock_created_setting)
+        mock_repo_instance.get_setting = AsyncMock(return_value=None)
+
+        await service.set_setting("test_key", "test_value", "test_user")
+        assert service.get_last_updated_at() is not None

tests/unit/test_execution_persistence.py

@@ -1,89 +0,0 @@
-from __future__ import annotations
-
-from dataclasses import dataclass
-from datetime import UTC, datetime
-
-import pytest
-
-from arbitrade.config.settings import Settings
-from arbitrade.detection.engine import OpportunityEvent
-from arbitrade.execution.sequencer import TriangularExecutionSequencer
-from arbitrade.storage.db import DuckDBStore
-from arbitrade.storage.executions import AsyncExecutionWriter
-from arbitrade.storage.repositories import OrderRepository, PnLRepository, TradeRepository
-
-
-@dataclass(slots=True)
-class _FakeRestClient:
-    calls: int = 0
-
-    async def place_market_order(self, *, pair: str, side: str, volume: float) -> dict[str, object]:
-        self.calls += 1
-        return {"txid": [f"tx-{self.calls}"], "status": "submitted"}
-
-
-def _sample_event() -> OpportunityEvent:
-    return OpportunityEvent(
-        detected_at=datetime.now(UTC),
-        cycle="USD->BTC->ETH->USD",
-        updated_pair="BTC/USD",
-        gross_rate=1.04,
-        net_rate=1.03,
-        gross_pct=4.0,
-        net_pct=3.0,
-        est_profit=0.03,
-    )
-
-
-@pytest.mark.asyncio
-async def test_execution_writer_persists_trade_order_and_pnl(tmp_path) -> None:
-    settings = Settings(_env_file=None, DUCKDB_PATH=tmp_path / "exec.duckdb")
-    store = DuckDBStore(settings)
-    store.migrate()
-    writer = AsyncExecutionWriter(
-        TradeRepository(store),
-        OrderRepository(store),
-        PnLRepository(store),
-        max_queue_size=10,
-    )
-    await writer.start()
-
-    client = _FakeRestClient()
-    sequencer = TriangularExecutionSequencer(
-        client,
-        available_pairs=["BTC/USD", "ETH/BTC", "ETH/USD"],
-        execution_writer=writer,
-    )
-
-    result = await sequencer.execute(_sample_event())
-    await writer.stop()
-
-    assert result.success
-    assert client.calls == 3
-
-    with store.connect() as conn:
-        trades = conn.execute(
-            "SELECT trade_ref, status, estimated_pnl, capital_used, cycle, leg_count FROM trades"
-        ).fetchall()
-        orders = conn.execute(
-            "SELECT trade_ref, order_ref, leg_index, pair, side, volume, status "
-            "FROM orders ORDER BY leg_index"
-        ).fetchall()
-        pnls = conn.execute("SELECT trade_ref, kind, pnl_usd, source FROM pnl_events").fetchall()
-
-    assert len(trades) == 1
-    assert trades[0][1] == "filled"
-    assert trades[0][2] == 0.03
-    assert trades[0][3] == 1.0
-    assert trades[0][4] == "USD->BTC->ETH->USD"
-    assert trades[0][5] == 3
-
-    assert len(orders) == 3
-    assert orders[0][2] == 0
-    assert orders[1][2] == 1
-    assert orders[2][2] == 2
-    assert orders[0][6] == "submitted"
-
-    assert len(pnls) == 1
-    assert pnls[0][1] == "estimated"
-    assert pnls[0][2] == 0.03

tests/unit/test_metrics.py

@@ -1,144 +0,0 @@
-from __future__ import annotations
-
-from datetime import UTC, datetime, timedelta
-
-import pytest
-
-from arbitrade.config.settings import Settings
-from arbitrade.metrics import MetricsCalculator
-from arbitrade.storage.db import DuckDBStore
-
-
-def test_metrics_calculator_summarizes_execution_data(tmp_path) -> None:
-    settings = Settings(_env_file=None, DUCKDB_PATH=tmp_path / "metrics.duckdb")
-    store = DuckDBStore(settings)
-    store.migrate()
-
-    started = datetime.now(UTC)
-    finished = started + timedelta(seconds=30)
-    started_two = started + timedelta(minutes=1)
-    finished_two = started_two + timedelta(seconds=90)
-
-    with store.connect() as conn:
-        conn.execute(
-            """
-            INSERT INTO trades (
-                trade_ref,
-                started_at,
-                finished_at,
-                status,
-                realized_pnl,
-                estimated_pnl,
-                capital_used,
-                cycle,
-                leg_count
-            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?), (?, ?, ?, ?, ?, ?, ?, ?, ?)
-            """,
-            [
-                "trade-1",
-                started,
-                finished,
-                "filled",
-                12.5,
-                10.0,
-                100.0,
-                "USD->BTC->ETH->USD",
-                3,
-                "trade-2",
-                started_two,
-                finished_two,
-                "filled",
-                -4.5,
-                -2.0,
-                200.0,
-                "USD->ETH->BTC->USD",
-                3,
-            ],
-        )
-        conn.execute(
-            """
-            INSERT INTO opportunities (
-                detected_at,
-                cycle,
-                gross_pct,
-                net_pct,
-                est_profit,
-                executed
-            ) VALUES (?, ?, ?, ?, ?, ?), (?, ?, ?, ?, ?, ?), (?, ?, ?, ?, ?, ?)
-            """,
-            [
-                started,
-                "USD->BTC->ETH->USD",
-                4.0,
-                3.0,
-                0.03,
-                True,
-                started_two,
-                "USD->ETH->BTC->USD",
-                2.0,
-                1.0,
-                0.01,
-                False,
-                started_two + timedelta(seconds=30),
-                "USD->BTC->ETH->USD",
-                5.0,
-                4.0,
-                0.04,
-                True,
-            ],
-        )
-        conn.execute(
-            """
-            INSERT INTO orders (
-                trade_ref,
-                order_ref,
-                leg_index,
-                pair,
-                side,
-                volume,
-                user_ref,
-                status,
-                filled_volume,
-                avg_price,
-                raw_response,
-                recorded_at
-            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?), (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
-            """,
-            [
-                "trade-1",
-                "order-1",
-                0,
-                "BTC/USD",
-                "buy",
-                2.0,
-                101,
-                "closed",
-                2.0,
-                100.0,
-                "{}",
-                started,
-                "trade-2",
-                "order-2",
-                0,
-                "ETH/USD",
-                "sell",
-                4.0,
-                202,
-                "closed",
-                3.0,
-                200.0,
-                "{}",
-                started_two,
-            ],
-        )
-
-    metrics = MetricsCalculator(store).compute()
-
-    assert metrics.realized_pnl_usd == 8.0
-    assert metrics.win_rate == 0.5
-    assert metrics.avg_trade_duration_seconds == 60.0
-    assert metrics.opportunities_per_minute == 2.0
-    assert metrics.fill_rate == 0.875
-    assert metrics.latency_p50_seconds == 60.0
-    assert metrics.latency_p95_seconds == 87.0
-    assert metrics.latency_p99_seconds == pytest.approx(89.4)

tests/unit/test_opportunity_writer.py

@@ -1,48 +0,0 @@
-from __future__ import annotations
-
-from datetime import UTC, datetime
-
-import pytest
-
-from arbitrade.config.settings import Settings
-from arbitrade.detection.engine import OpportunityEvent
-from arbitrade.storage.db import DuckDBStore
-from arbitrade.storage.opportunities import AsyncOpportunityWriter
-from arbitrade.storage.repositories import OpportunityRepository
-
-
-@pytest.mark.asyncio
-async def test_async_opportunity_writer_persists_events(tmp_path) -> None:
-    settings = Settings(_env_file=None, DUCKDB_PATH=tmp_path / "test.duckdb")
-    store = DuckDBStore(settings)
-    store.migrate()
-
-    repository = OpportunityRepository(store)
-    writer = AsyncOpportunityWriter(repository, max_queue_size=10)
-    await writer.start()
-
-    event = OpportunityEvent(
-        detected_at=datetime.now(UTC),
-        cycle="USD->BTC->ETH->USD",
-        updated_pair="BTC/USD",
-        gross_rate=1.04,
-        net_rate=1.03,
-        gross_pct=4.0,
-        net_pct=3.0,
-        est_profit=0.03,
-    )
-
-    await writer.enqueue(event)
-    await writer.stop()
-
-    with store.connect() as conn:
-        rows = conn.execute(
-            "SELECT cycle, gross_pct, net_pct, est_profit, executed FROM opportunities"
-        ).fetchall()
-
-    assert len(rows) == 1
-    assert rows[0][0] == "USD->BTC->ETH->USD"
-    assert rows[0][1] == 4.0
-    assert rows[0][2] == 3.0
-    assert rows[0][3] == 0.03
-    assert rows[0][4] is False