Add integration tests for execution persistence, metrics, and opportunity writing

- Implemented integration tests for the execution writer to ensure trade orders and PnL are persisted correctly.
- Created integration tests for the metrics calculator to summarize execution data accurately.
- Added integration tests for the opportunity writer to verify event persistence.
- Established PostgreSQL schema validation tests to ensure all expected tables, columns, and constraints exist.
- Removed outdated unit tests that relied on DuckDB and replaced them with tests using PgStore.

.gitignore

@@ -38,6 +38,7 @@ dist/
 # Local database / runtime data
 data/*.duckdb.wal
 data/*.duckdb.tmp
+data/arbitrade.duckdb
 logs/
 ops/performance/latest_profile.json
 

README.md

@@ -6,7 +6,7 @@ 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
 
@@ -22,7 +22,7 @@ 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
@@ -152,7 +152,11 @@ APP_HOST=0.0.0.0
 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=
@@ -182,15 +186,19 @@ Health endpoints:
 
 ## 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:
 
@@ -220,7 +228,7 @@ 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
@@ -342,7 +350,7 @@ Add a persistent volume in Coolify:
 
 - Mount Path: `/app/data`
 
-This preserves DuckDB and other runtime artifacts across restarts/redeploys.
+This preserves PostgreSQL data and other runtime artifacts across restarts/redeploys.
 
 ### 5) Configure environment variables
 
@@ -351,7 +359,11 @@ Add runtime environment variables in Coolify (UI: Environment Variables):
 - `APP_ENV=prod`
 - `APP_HOST=0.0.0.0`
 - `APP_PORT=9090`
-- `DUCKDB_PATH=/app/data/arbitrade.duckdb`
+- `PG_HOST=postgres`
+  `PG_PORT=5432`
+  `PG_DATABASE=arbitrade`
+  `PG_USER=arbitrade`
+  `PG_PASSWORD=arbitrade`
 - `LOG_LEVEL=INFO`
 - `LOG_JSON=true`
 - `KRAKEN_API_KEY=...`

docs/DEPLOYMENT.md

@@ -7,16 +7,16 @@ This guide provides two supported deployment paths for Arbitrade on Coolify:
 
 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
+- [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
 
@@ -32,14 +32,14 @@ Use these values in both deployment modes.
 
 - Add a persistent volume
 - Mount path: `/app/data`
-- Set DB path to: `DUCKDB_PATH=/app/data/arbitrade.duckdb`
+- 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`
-- `DUCKDB_PATH=/app/data/arbitrade.duckdb`
+- `PG_DATABASE=arbitrade`
 - `LOG_LEVEL=INFO`
 - `LOG_JSON=true`
 - `KRAKEN_API_KEY=<set-in-coolify-secret>`
@@ -135,7 +135,7 @@ Update flow for new releases:
 - 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 persistent mount exists at `/app/data` and `DUCKDB_PATH` points there.
+- Confirm PostgreSQL is reachable at `PG_HOST`.
 - Registry pull fails:
 - Re-check Docker registry credentials in Coolify.
 - App starts but unavailable externally:

docs/architecture/README.md

@@ -8,7 +8,7 @@ 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 DuckDB for dev, test, and prod.
+- 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.
 
@@ -17,7 +17,7 @@ Primary goals:
 - Python 3.12+ runtime.
 - Native Kraken WebSocket on the hot path.
 - HTMX + Jinja2 UI, no SPA build step.
-- DuckDB everywhere.
+- PostgreSQL everywhere.
 - Self-hosted Gitea Actions CI and Gitea registry.
 - Windows development support.
 - Secrets must stay out of the repository.
@@ -32,7 +32,7 @@ The bot consumes Kraken market data, detects opportunities, and executes trades
 
 - Kraken REST + WebSocket provide market data and execution.
 - FastAPI serves HTML fragments, JSON endpoints, and SSE streams.
-- DuckDB stores trades, opportunities, snapshots, audit events, and runtime state.
+- 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
@@ -55,7 +55,7 @@ The bot consumes Kraken market data, detects opportunities, and executes trades
 - `execution/` - multi-leg trade sequencing.
 - `backtesting/` - replay engine, parameter sweep, experiment scaffolds.
 - `strategy/` - experimental strategy modules such as stat-arb.
-- `storage/` - DuckDB schema and repositories.
+- `storage/` - PostgreSQL schema and repositories.
 - `alerting/` - multi-channel notifications.
 - `runtime/` - startup recovery and graceful shutdown.
 
@@ -64,7 +64,7 @@ The bot consumes Kraken market data, detects opportunities, and executes trades
 - `fastapi`, `uvicorn`, `jinja2`, `htmx`-driven templates.
 - `orjson` for low-alloc parsing.
 - `sortedcontainers` for book state.
-- `duckdb` for persistence and analytics.
+- `asyncpg` for PostgreSQL persistence.
 - `pydantic` / `pydantic-settings` for typed configuration.
 - `cryptography` / keyring for secret handling.
 
@@ -77,7 +77,7 @@ The bot consumes Kraken market data, detects opportunities, and executes trades
 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 DuckDB.
+7. Trades and snapshots persist to PostgreSQL.
 7. Dashboard and alerts reflect state changes.
 
 ### 6.2 Dashboard Control Flow
@@ -112,7 +112,7 @@ The bot consumes Kraken market data, detects opportunities, and executes trades
 
 - Deploy from the published image.
 - Configure runtime via environment variables.
-- Mount persistent storage at `/app/data` for DuckDB.
+- Connect to PostgreSQL at configured `PG_HOST`.
 
 ## 8. Cross-Cutting Concepts
 
@@ -126,7 +126,7 @@ The bot consumes Kraken market data, detects opportunities, and executes trades
 ## 9. Architecture Decisions
 
 - Native Kraken WS instead of a generic exchange abstraction on the hot path.
-- DuckDB as the single database engine.
+- 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.
@@ -152,5 +152,5 @@ The bot consumes Kraken market data, detects opportunities, and executes trades
 - WS: WebSocket.
 - HTMX: HTML-over-the-wire UI library.
 - SSE: Server-Sent Events.
-- DUCKDB: Embedded analytical database used for all environments.
+- PGSQL: PostgreSQL database used for all environments.
 - Stat arb: Statistical arbitrage, currently experimental and feature-flagged.

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

@@ -54,7 +54,7 @@ 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

@@ -1,4 +1,5 @@
 # Unpinned dev dependencies (latest available)
+asyncpg-stubs
 black
 mypy
 pre-commit

requirements/latest-runtime.in

@@ -1,6 +1,6 @@
 # Unpinned runtime dependencies (latest available)
+asyncpg
 cryptography
-duckdb
 fastapi
 httptools
 httpx

src/arbitrade/api/app.py

@@ -25,15 +25,15 @@ from arbitrade.market_data.feed_builder import (
 )
 from arbitrade.metrics import MetricsCalculator
 from arbitrade.runtime.lifecycle import graceful_shutdown, restore_runtime_state
-from arbitrade.storage.db import DuckDBStore
+from arbitrade.storage.pg_store import PgStore
 from arbitrade.storage.market_snapshots import AsyncMarketSnapshotWriter
 from arbitrade.storage.opportunities import AsyncOpportunityWriter
-from arbitrade.storage.repositories import AuditRepository, RuntimeStateRepository
+from arbitrade.storage.repositories import AuditRepository, RuntimeStateRepository, MarketSnapshotRepository, OpportunityRepository
 
 _LOG = structlog.get_logger(__name__)
 
 
-def _start_feed(app: FastAPI, *, kill_switch_only: bool = False) -> asyncio.Task[None] | None:
+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).
@@ -45,14 +45,14 @@ def _start_feed(app: FastAPI, *, kill_switch_only: bool = False) -> asyncio.Task
     controls = app.state.dashboard_controls
 
     # Build detector from enabled pairings
-    detector = 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 = get_enabled_pair_symbols(db)
+    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
@@ -64,8 +64,8 @@ def _start_feed(app: FastAPI, *, kill_switch_only: bool = False) -> asyncio.Task
 
     ws_client.set_subscribed_symbols(symbols)
 
-    snapshot_writer = AsyncMarketSnapshotWriter(db)
-    opportunity_writer = AsyncOpportunityWriter(db)
+    snapshot_writer = AsyncMarketSnapshotWriter(MarketSnapshotRepository(db))
+    opportunity_writer = AsyncOpportunityWriter(OpportunityRepository(db))
 
     feed = MarketDataFeed(
         ws_client=ws_client,
@@ -90,8 +90,8 @@ def _start_feed(app: FastAPI, *, kill_switch_only: bool = False) -> asyncio.Task
 def create_app(settings: Settings) -> FastAPI:
     configure_logging(settings.log_level, settings.log_json)
 
-    db = DuckDBStore(settings)
-    db.migrate()
+    db = PgStore(settings)
+
     kraken_client = KrakenRestClient(settings)
     fee_sync_stop_event = asyncio.Event()
     pairing_sync_stop_event = asyncio.Event()
@@ -101,6 +101,9 @@ def create_app(settings: Settings) -> FastAPI:
 
     @asynccontextmanager
     async def lifespan(app: FastAPI) -> AsyncIterator[None]:
+        await app.state.store.start()
+        await app.state.store.migrate()
+        await app.state.configuration_service.load_database_settings()
         await restore_runtime_state(app)
         fee_sync_task = asyncio.create_task(
             run_fee_sync_loop(
@@ -123,7 +126,7 @@ def create_app(settings: Settings) -> FastAPI:
             name="backtest_worker",
         )
         # Start market data feed from enabled pairings
-        _start_feed(app)
+        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
@@ -161,6 +164,7 @@ def create_app(settings: Settings) -> FastAPI:
             pass
         await kraken_client.close()
         await graceful_shutdown(app)
+        await app.state.store.stop()
 
     app = FastAPI(title="arbitrade", version="0.1.0", lifespan=lifespan)
     app.state.settings = settings

src/arbitrade/api/routes.py

@@ -9,7 +9,6 @@ from pathlib import Path
 from typing import cast
 from urllib.parse import parse_qs
 
-import duckdb
 import orjson
 from fastapi import APIRouter, Depends, Request, Response
 from fastapi.responses import HTMLResponse, JSONResponse, StreamingResponse
@@ -21,6 +20,7 @@ from arbitrade.api.control_state import DashboardControlState
 from arbitrade.config.pairing_sync import sync_pairings_from_kraken
 from arbitrade.config.service import ConfigPairing
 from arbitrade.detection.graph import CurrencyGraph, TriangularCycle
+from arbitrade.storage.pg_store import PgStore
 from arbitrade.storage.repositories import (
     AuditRecord,
     AuditRepository,
@@ -35,7 +35,8 @@ public_router = APIRouter()
 
 def _resolve_templates_directory() -> str:
     # Support source layout, Docker runtime (/app), and installed package data.
-    source_layout_path = Path(__file__).resolve().parents[3] / "web" / "templates"
+    source_layout_path = Path(
+        __file__).resolve().parents[3] / "web" / "templates"
     if source_layout_path.is_dir():
         return str(source_layout_path)
 
@@ -44,7 +45,8 @@ def _resolve_templates_directory() -> str:
         return str(docker_runtime_path)
 
     try:
-        package_path = resources.files("arbitrade").joinpath("web", "templates")
+        package_path = resources.files(
+            "arbitrade").joinpath("web", "templates")
         if package_path.is_dir():
             return str(package_path)
     except (ModuleNotFoundError, AttributeError):
@@ -64,8 +66,8 @@ def _format_metric(value: float | None, *, precision: int = 2, suffix: str = "")
     return f"{value:.{precision}f}{suffix}"
 
 
-def _dashboard_metrics(request: Request) -> dict[str, str]:
-    metrics = request.app.state.metrics.compute()
+async def _dashboard_metrics(request: Request) -> dict[str, str]:
+    metrics = await request.app.state.metrics.compute()
     return {
         "realized_pnl": _format_metric(metrics.realized_pnl_usd, precision=2, suffix=" USD"),
         "win_rate": _format_metric(
@@ -91,57 +93,85 @@ def _dashboard_metrics(request: Request) -> dict[str, str]:
     }
 
 
-def _table_columns(conn: duckdb.DuckDBPyConnection, table_name: str) -> set[str]:
-    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("""
+async def _dashboard_overview(request: Request) -> dict[str, object]:
+    store: PgStore = request.app.state.store
+    async with store.pool.acquire() as conn:
+        portfolio_row = await conn.fetchrow("""
             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}
+            """)
+        open_trades = await conn.fetch("""
+            SELECT trade_ref, status, started_at, cycle
             FROM trades
-            WHERE {open_trade_filter}
+            WHERE finished_at IS NULL
             ORDER BY started_at DESC
             LIMIT 5
-            """).fetchall()
-        rpnl = conn.execute("""
+            """)
+        rpnl = await conn.fetchrow("""
             SELECT COALESCE(SUM(COALESCE(realized_pnl, 0)), 0)
             FROM trades
-            """).fetchone()
-        latest_opportunities = conn.execute("""
+            """)
+        latest_opportunities = await conn.fetch("""
             SELECT cycle, net_pct, est_profit, detected_at
             FROM opportunities
             ORDER BY detected_at DESC
             LIMIT 5
-            """).fetchall()
+            """)
+
+        # Query equity from kraken_account_snapshots
+        equity_value = "—"
+        try:
+            equity_row = await conn.fetchrow("""
+                SELECT trade_balance_raw
+                FROM kraken_account_snapshots
+                ORDER BY snapshot_at DESC
+                LIMIT 1
+                """)
+            if equity_row is not None and equity_row["trade_balance_raw"] is not None:
+                tb_raw = equity_row["trade_balance_raw"]
+                if isinstance(tb_raw, str):
+                    tb_raw = json.loads(tb_raw)
+                if isinstance(tb_raw, dict):
+                    eb = tb_raw.get("eb")
+                    equity_value = f"{float(eb):.2f} USD" if eb is not None else "—"
+        except Exception:
+            pass
+
+        # Query latest Kraken account snapshot for fee info
+        fee_tier = "—"
+        maker_fee = "—"
+        taker_fee = "—"
+        thirty_day_volume = "—"
+        try:
+            acct_row = await conn.fetchrow("""
+                SELECT fee_tier, maker_fee, taker_fee, thirty_day_volume
+                FROM kraken_account_snapshots
+                ORDER BY snapshot_at DESC
+                LIMIT 1
+                """)
+            if acct_row is not None:
+                fee_tier = str(
+                    acct_row["fee_tier"]) if acct_row["fee_tier"] is not None else "—"
+                maker_fee = f"{float(acct_row['maker_fee']):.4%}" if acct_row["maker_fee"] is not None else "—"
+                taker_fee = f"{float(acct_row['taker_fee']):.4%}" if acct_row["taker_fee"] is not None else "—"
+                thirty_day_volume = f"{float(acct_row['thirty_day_volume']):.2f}" if acct_row[
+                    "thirty_day_volume"] is not None else "—"
+        except Exception:
+            pass
 
     balances_value = "—"
     total_value = "—"
-    equity_value = "—"
     if portfolio_row is not None:
-        balances_raw, total_value_raw = portfolio_row
+        balances_raw = portfolio_row["balances"]
+        total_value_raw = portfolio_row["total_value_usd"]
         if isinstance(balances_raw, str) and balances_raw:
             try:
                 parsed = json.loads(balances_raw)
                 if isinstance(parsed, dict):
-                    # Filter out zero balances, show non-zero as "AMT ASSET"
-                    non_zero = {k: float(v) for k, v in parsed.items() if float(v) > 0.0}
+                    non_zero = {k: float(v)
+                                for k, v in parsed.items() if float(v) > 0.0}
                     if non_zero:
                         balances_value = "<br>".join(
                             f"{v:.6g} {k}" for k, v in sorted(non_zero.items())
@@ -157,63 +187,25 @@ def _dashboard_overview(request: Request) -> dict[str, object]:
         if total_value_raw is not None:
             total_value = f"{float(total_value_raw):.2f} USD"
 
-    # Query equity from kraken_account_snapshots
-    try:
-        equity_row = conn.execute("""
-            SELECT trade_balance_raw
-            FROM kraken_account_snapshots
-            ORDER BY snapshot_at DESC
-            LIMIT 1
-            """).fetchone()
-        if equity_row is not None and equity_row[0] is not None:
-            tb_raw = equity_row[0]
-            if isinstance(tb_raw, str):
-                tb_raw = json.loads(tb_raw)
-            if isinstance(tb_raw, dict):
-                eb = tb_raw.get("eb")
-                equity_value = f"{float(eb):.2f} USD" if eb is not None else "—"
-    except Exception:
-        pass
-
     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 "—",
+            "trade_ref": str(r["trade_ref"]),
+            "status": str(r["status"]),
+            "started_at": r["started_at"].isoformat() if isinstance(r["started_at"], datetime) else "—",
+            "cycle": str(r["cycle"]) if r["cycle"] is not None else "—",
         }
-        for row in open_trades
+        for r 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 "—",
+            "cycle": str(r["cycle"]),
+            "net_pct": f"{float(r['net_pct']):.2f}%" if r["net_pct"] is not None else "—",
+            "est_profit": f"{float(r['est_profit']):.2f} USD" if r["est_profit"] is not None else "—",
+            "detected_at": r["detected_at"].isoformat() if isinstance(r["detected_at"], datetime) else "—",
         }
-        for row in latest_opportunities
+        for r in latest_opportunities
     ]
 
-    # Query latest Kraken account snapshot for fee info
-    fee_tier = "—"
-    maker_fee = "—"
-    taker_fee = "—"
-    thirty_day_volume = "—"
-    try:
-        acct_row = conn.execute("""
-            SELECT fee_tier, maker_fee, taker_fee, thirty_day_volume
-            FROM kraken_account_snapshots
-            ORDER BY snapshot_at DESC
-            LIMIT 1
-            """).fetchone()
-        if acct_row is not None:
-            fee_tier = str(acct_row[0]) if acct_row[0] is not None else "—"
-            maker_fee = f"{float(acct_row[1]):.4%}" if acct_row[1] is not None else "—"
-            taker_fee = f"{float(acct_row[2]):.4%}" if acct_row[2] is not None else "—"
-            thirty_day_volume = f"{float(acct_row[3]):.2f}" if acct_row[3] is not None else "—"
-    except Exception:
-        pass
-
     return {
         "status": "live",
         "generated_at": datetime.now(UTC).isoformat(),
@@ -232,26 +224,28 @@ def _dashboard_overview(request: Request) -> dict[str, object]:
     }
 
 
-def _dashboard_charts(request: Request) -> dict[str, object]:
-    store = request.app.state.store
-    with store.connect() as conn:
-        opportunity_rows = conn.execute("""
+async def _dashboard_charts(request: Request) -> dict[str, object]:
+    store: PgStore = request.app.state.store
+    async with store.pool.acquire() as conn:
+        rows = await conn.fetch("""
             SELECT detected_at, cycle, net_pct, est_profit
             FROM opportunities
             ORDER BY detected_at DESC
             LIMIT 10
-            """).fetchall()
+            """)
 
-    cr = list(reversed(opportunity_rows))
+    cr = list(reversed(rows))
     labels = []
     for index, row in enumerate(cr):
-        if isinstance(row[0], datetime):
-            labels.append(row[0].isoformat())
+        if isinstance(row["detected_at"], datetime):
+            labels.append(row["detected_at"].isoformat())
         else:
             labels.append(f"opportunity-{index + 1}")
-    np = [float(row[2]) if row[2] is not None else 0.0 for row in cr]
-    ep = [float(row[3]) if row[3] is not None else 0.0 for row in cr]
-    cycles = [str(row[1]) for row in cr]
+    np = [float(row["net_pct"]) if row["net_pct"]
+          is not None else 0.0 for row in cr]
+    ep = [float(row["est_profit"]) if row["est_profit"]
+          is not None else 0.0 for row in cr]
+    cycles = [str(row["cycle"]) for row in cr]
 
     return {
         "labels": labels,
@@ -272,7 +266,7 @@ def _audit_repository(request: Request) -> AuditRepository | None:
     return cast(AuditRepository | None, repository)
 
 
-def _record_audit(
+async def _record_audit(
     request: Request,
     *,
     actor: str,
@@ -288,7 +282,7 @@ def _record_audit(
         ret_pl = {str(key): payload[key] for key in payload}
     else:
         ret_pl = None
-    repository.insert(
+    await repository.insert(
         AuditRecord(
             occurred_at=datetime.now(UTC),
             actor=actor,
@@ -300,7 +294,7 @@ def _record_audit(
     )
 
 
-def _dashboard_audit(request: Request, *, limit: int = 15) -> dict[str, object]:
+async def _dashboard_audit(request: Request, *, limit: int = 15) -> dict[str, object]:
     repository = _audit_repository(request)
     if repository is None:
         return {
@@ -308,7 +302,7 @@ def _dashboard_audit(request: Request, *, limit: int = 15) -> dict[str, object]:
             "generated_at": datetime.now(UTC).isoformat(),
         }
 
-    records = repository.list_recent(limit=limit)
+    records = await repository.list_recent(limit=limit)
     entries: list[dict[str, str]] = []
     for record in records:
         payload_text = "—"
@@ -355,7 +349,7 @@ def _alert_status_snapshot(request: Request) -> dict[str, object]:
     }
 
 
-def _dashboard_config_context(request: Request) -> dict[str, object]:
+async def _dashboard_config_context(request: Request) -> dict[str, object]:
     ctl = _dashboard_controls_state(request)
     rs = request.app.state.settings
     max_trade_capital_usd = (
@@ -416,7 +410,8 @@ def _dashboard_config_context(request: Request) -> dict[str, object]:
     max_consecutive_failures_value = (
         str(rs.max_consecutive_failures) if rs.max_consecutive_failures is not None else ""
     )
-    strategy_stat_arb_enabled = bool(getattr(rs, "strategy_enable_stat_arb_experiment", False))
+    strategy_stat_arb_enabled = bool(
+        getattr(rs, "strategy_enable_stat_arb_experiment", False))
 
     return {
         # Runtime
@@ -537,7 +532,8 @@ def _dashboard_controls(request: Request) -> dict[str, object]:
     alerts_last_channel_results = [
         str(item) for item in cast(list[object], alert_status.get("last_channel_results", []))
     ]
-    strategy_stat_arb_enabled = bool(getattr(rs, "strategy_enable_stat_arb_experiment", False))
+    strategy_stat_arb_enabled = bool(
+        getattr(rs, "strategy_enable_stat_arb_experiment", False))
 
     return {
         "execution_status": "running" if ctl.is_running else "stopped",
@@ -611,7 +607,7 @@ def _normalize_fee_profile(profile: str) -> str:
     return profile.strip().lower().replace("-", "_")
 
 
-def _fee_rate_for_profile(
+async def _fee_rate_for_profile(
     profile: str,
     custom_fee_rate: float | None,
     request: Request | None = None,
@@ -628,9 +624,9 @@ def _fee_rate_for_profile(
     if normalized == "api":
         if request is None:
             raise ValueError("api fee profile requires request context")
-        store = request.app.state.store
+        store: PgStore = request.app.state.store
         repo = KrakenAccountSnapshotRepository(store)
-        latest = repo.latest_snapshot()
+        latest = await repo.latest_snapshot()
         if latest is not None and latest.maker_fee is not None:
             return latest.maker_fee
         # Fallback to standard if no snapshot yet
@@ -700,11 +696,11 @@ def _build_cycles_from_events(
     return graph.index_cycles_by_pair(cycles), sorted(symbols)
 
 
-def _recent_backtest_reports(request: Request) -> list[dict[str, object]]:
+async def _recent_backtest_reports(request: Request) -> list[dict[str, object]]:
     """Fetch recent backtest jobs from DB."""
-    store = request.app.state.store
+    store: PgStore = request.app.state.store
     repo = BacktestJobRepository(store)
-    jobs = repo.list_jobs(limit=20)
+    jobs = await repo.list_jobs(limit=20)
     return [
         {
             "job_id": j.id or "",
@@ -719,7 +715,7 @@ def _recent_backtest_reports(request: Request) -> list[dict[str, object]]:
     ]
 
 
-def _backtesting_panel_context(
+async def _backtesting_panel_context(
     request: Request,
     *,
     status: str = "idle",
@@ -742,7 +738,7 @@ def _backtesting_panel_context(
     if defaults is not None:
         default_values.update(defaults)
 
-    reports = _recent_backtest_reports(request)
+    reports = await _recent_backtest_reports(request)
     latest = latest_report or (reports[0] if reports else None)
 
     return {
@@ -814,10 +810,11 @@ async def dashboard_backtesting_page(request: Request) -> HTMLResponse:
 
 @router.get("/dashboard/fragment/backtesting", response_class=HTMLResponse)
 async def dashboard_backtesting_fragment(request: Request) -> HTMLResponse:
+    d_context = await _dashboard_config_context(request)
     return templates.TemplateResponse(
         request=request,
         name="partials/backtesting_panel.html",
-        context={"request": request, **_backtesting_panel_context(request)},
+        context={"request": request, **d_context},
     )
 
 
@@ -826,7 +823,7 @@ async def dashboard_backtesting_pairings_fragment(request: Request) -> HTMLRespo
     """HTMX fragment: pairing checkboxes for backtest form."""
     store = request.app.state.store
     repo = ConfigPairingRepository(store)
-    pairings = repo.list_pairings()
+    pairings = await repo.list_pairings()
     pairings.sort(key=lambda p: (p.base_asset, p.quote_asset))
     return templates.TemplateResponse(
         request=request,
@@ -840,7 +837,7 @@ 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))},
     )
 
 
@@ -849,7 +846,7 @@ 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))},
     )
 
 
@@ -867,7 +864,7 @@ 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))},
     )
 
 
@@ -879,7 +876,7 @@ async def dashboard_audit_page(request: Request) -> HTMLResponse:
         context={
             "title": "Arbitrade Audit Trail",
             "request": request,
-            **_dashboard_audit(request),
+            **(await _dashboard_audit(request)),
         },
     )
 
@@ -889,7 +886,7 @@ async def dashboard_audit_fragment(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))},
     )
 
 
@@ -898,12 +895,13 @@ 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", 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",
@@ -911,17 +909,18 @@ async def dashboard_config_page(request: Request) -> HTMLResponse:
             "title": "Arbitrade Configuration",
             "request": request,
             "config_endpoint": "/dashboard/control/config",
-            **_dashboard_config_context(request),
+            **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, **_dashboard_config_context(request)},
+        context={"request": request, **d_context},
     )
 
 
@@ -932,7 +931,7 @@ 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)
@@ -940,7 +939,7 @@ async def dashboard_backtesting_reports(request: Request) -> JSONResponse:
     return JSONResponse(
         {
             "generated_at": datetime.now(UTC).isoformat(),
-            "reports": _recent_backtest_reports(request),
+            "reports": await _recent_backtest_reports(request),
         }
     )
 
@@ -965,9 +964,10 @@ async def dashboard_backtesting_run(request: Request) -> HTMLResponse:
 
     try:
         custom_fee_rate = (
-            float(defaults["custom_fee_rate"]) if defaults["custom_fee_rate"].strip() else None
+            float(defaults["custom_fee_rate"]
+                  ) if defaults["custom_fee_rate"].strip() else None
         )
-        fee_rate = _fee_rate_for_profile(defaults["fee_profile"], custom_fee_rate, request=request)
+        fee_rate = await _fee_rate_for_profile(defaults["fee_profile"], custom_fee_rate, request=request)
 
         config_dict: dict[str, object] = {
             "source": defaults["source"],
@@ -986,13 +986,13 @@ async def dashboard_backtesting_run(request: Request) -> HTMLResponse:
         store = request.app.state.store
         repo = BacktestJobRepository(store)
         events_label = defaults["symbols"] if defaults["symbols"] else "DB-sourced"
-        job = repo.create_job(events_label, config_dict)
+        job = await repo.create_job(events_label, config_dict)
         msg_job = job.id[:8] if job.id else "unknown"
 
         queue = request.app.state.backtest_queue
         await queue.put((job.id or "", config_dict))
 
-        _record_audit(
+        await _record_audit(
             request,
             actor="dashboard_user",
             event_type="dashboard.backtesting.submit",
@@ -1000,14 +1000,14 @@ async def dashboard_backtesting_run(request: Request) -> HTMLResponse:
             payload={"job_id": job.id, "source": defaults["source"]},
         )
 
-        context = _backtesting_panel_context(
+        context = await _backtesting_panel_context(
             request,
             status="submitted",
             message=f"Job {msg_job}... queued. Refresh to see results.",
             defaults=defaults,
         )
     except ValueError as exc:
-        context = _backtesting_panel_context(
+        context = await _backtesting_panel_context(
             request,
             status="failed",
             message=str(exc),
@@ -1025,11 +1025,12 @@ async def dashboard_backtesting_run(request: Request) -> HTMLResponse:
 async def dashboard_backtesting_delete(request: Request, job_id: str) -> HTMLResponse:
     store = request.app.state.store
     repo = BacktestJobRepository(store)
-    repo.delete_job(job_id)
+    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, **_backtesting_panel_context(request)},
+        context={"request": request, **context},
     )
 
 
@@ -1037,7 +1038,7 @@ async def dashboard_backtesting_delete(request: Request, job_id: str) -> HTMLRes
 async def dashboard_backtesting_job_detail(request: Request, job_id: str) -> HTMLResponse:
     store = request.app.state.store
     repo = BacktestJobRepository(store)
-    job = repo.get_job(job_id)
+    job = await repo.get_job(job_id)
     if job is None:
         return HTMLResponse("<p>Job not found</p>", status_code=404)
 
@@ -1069,7 +1070,7 @@ async def dashboard_backtesting_job_detail(request: Request, job_id: str) -> HTM
 async def dashboard_backtesting_export(request: Request, job_id: str) -> Response:
     store = request.app.state.store
     repo = BacktestJobRepository(store)
-    job = repo.get_job(job_id)
+    job = await repo.get_job(job_id)
     if job is None:
         return Response("Job not found", status_code=404)
 
@@ -1087,7 +1088,8 @@ async def dashboard_backtesting_export(request: Request, job_id: str) -> Respons
     return Response(
         content=orjson.dumps(payload).decode("utf-8"),
         media_type="application/x-jsonlines",
-        headers={"Content-Disposition": f"attachment; filename=backtest_{job_id[:8]}.jsonl"},
+        headers={
+            "Content-Disposition": f"attachment; filename=backtest_{job_id[:8]}.jsonl"},
     )
 
 
@@ -1104,7 +1106,7 @@ async def dashboard_control_start(request: Request) -> HTMLResponse:
             title="Execution started",
             message="Dashboard control started execution.",
         )
-    _record_audit(
+    await _record_audit(
         request,
         actor="dashboard_user",
         event_type="dashboard.control.start",
@@ -1131,7 +1133,7 @@ async def dashboard_control_stop(request: Request) -> HTMLResponse:
             title="Execution stopped",
             message="Dashboard control stopped execution.",
         )
-    _record_audit(
+    await _record_audit(
         request,
         actor="dashboard_user",
         event_type="dashboard.control.stop",
@@ -1162,7 +1164,7 @@ async def dashboard_control_kill_switch(request: Request) -> HTMLResponse:
             message="Kill switch triggered from dashboard control.",
             details={"reason": reason},
         )
-    _record_audit(
+    await _record_audit(
         request,
         actor="dashboard_user",
         event_type="dashboard.control.kill_switch",
@@ -1232,7 +1234,7 @@ async def dashboard_control_config(request: Request) -> HTMLResponse:
                 "paper_trading_mode": "true" if rs.paper_trading_mode else "false",
             },
         )
-    _record_audit(
+    await _record_audit(
         request,
         actor="dashboard_user",
         event_type="dashboard.control.config",
@@ -1258,11 +1260,12 @@ async def dashboard_control_config(request: Request) -> HTMLResponse:
 
 @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", "")
@@ -1277,9 +1280,10 @@ 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", "")
     )
@@ -1316,7 +1320,7 @@ async def dashboard_api_pairings(
 ) -> JSONResponse:
     """List pairings with optional filters."""
     repo = _pairing_repo(request)
-    pairings = repo.list_pairings()
+    pairings = await repo.list_pairings()
 
     # Apply filters
     if search:
@@ -1332,9 +1336,11 @@ async def dashboard_api_pairings(
     if source:
         pairings = [p for p in pairings if p.source.lower() == source.lower()]
     if base:
-        pairings = [p for p in pairings if p.base_asset.lower() == base.lower()]
+        pairings = [p for p in pairings if p.base_asset.lower() ==
+                    base.lower()]
     if quote:
-        pairings = [p for p in pairings if p.quote_asset.lower() == quote.lower()]
+        pairings = [p for p in pairings if p.quote_asset.lower() ==
+                    quote.lower()]
 
     # Sort
     reverse = order.lower() == "desc"
@@ -1370,7 +1376,7 @@ async def dashboard_pairings_fragment(
 ) -> HTMLResponse:
     """HTMX fragment: pairing table for config page."""
     repo = _pairing_repo(request)
-    pairings = repo.list_pairings()
+    pairings = await repo.list_pairings()
 
     # Apply search filter
     if search:
@@ -1406,7 +1412,7 @@ async def dashboard_api_pairings_toggle(request: Request) -> HTMLResponse:
         return HTMLResponse("Missing base_asset or quote_asset", status_code=400)
 
     repo = _pairing_repo(request)
-    existing = repo.get_pairing(base_asset, quote_asset)
+    existing = await repo.get_pairing(base_asset, quote_asset)
     if existing is None:
         return HTMLResponse("Pairing not found", status_code=404)
 
@@ -1416,9 +1422,9 @@ async def dashboard_api_pairings_toggle(request: Request) -> HTMLResponse:
         enabled=not existing.enabled,
         source=existing.source,
     )
-    repo.update_pairing(base_asset, quote_asset, toggled)
+    await repo.update_pairing(base_asset, quote_asset, toggled)
 
-    _record_audit(
+    await _record_audit(
         request,
         actor="dashboard_user",
         event_type="dashboard.pairings.toggle",
@@ -1432,7 +1438,7 @@ async def dashboard_api_pairings_toggle(request: Request) -> HTMLResponse:
 
     # Return refreshed fragment
     pairings_repo = _pairing_repo(request)
-    pairings = pairings_repo.list_pairings()
+    pairings = await pairings_repo.list_pairings()
     pairings.sort(key=lambda p: (p.base_asset, p.quote_asset))
     return templates.TemplateResponse(
         request=request,
@@ -1448,7 +1454,7 @@ async def dashboard_api_pairings_sync(request: Request) -> JSONResponse:
     store = request.app.state.store
     summary = await sync_pairings_from_kraken(kraken_client, store)
 
-    _record_audit(
+    await _record_audit(
         request,
         actor="dashboard_user",
         event_type="dashboard.pairings.sync",

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)
@@ -185,8 +186,8 @@ def load_replay_events(path: Path) -> list[ReplayBookEvent]:
     return sorted(events, key=lambda event: event.occurred_at)
 
 
-def load_replay_events_from_db(
-    store: object,
+async def load_replay_events_from_db(
+    store: PgStore,
     *,
     symbols: list[str] | None = None,
     start: datetime | None = None,
@@ -197,32 +198,32 @@ def load_replay_events_from_db(
     Each market_snapshots row has snapshot_at, symbol, payload (raw Kraken WS).
     Payload format: {channel, symbol, data: [{bids: [{price, qty}], asks: [{price, qty}]}]}
     """
-    with store.connect() as conn:  # type: ignore
+    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("?" for _ in 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:
-            query += " AND snapshot_at >= ?"
             params.append(start)
+            query += f" AND snapshot_at >= ${len(params)}"
 
         if end is not None:
-            query += " AND snapshot_at <= ?"
             params.append(end)
+            query += f" AND snapshot_at <= ${len(params)}"
 
         query += " ORDER BY snapshot_at ASC"
 
-        rows = conn.execute(query, params).fetchall()
+        rows = await conn.fetch(query, *params)
 
     events: list[ReplayBookEvent] = []
     for row in rows:
-        snapshot_at: datetime = row[0]
-        symbol: str = row[1]
-        payload_raw = row[2]
+        snapshot_at: datetime = row["snapshot_at"]
+        symbol: str = row["symbol"]
+        payload_raw = row["payload"]
 
         if isinstance(payload_raw, str):
             payload = orjson.loads(payload_raw)

src/arbitrade/backtesting/runner.py

@@ -15,7 +15,7 @@ from arbitrade.backtesting.replay import (
     load_replay_events_from_db,
 )
 from arbitrade.detection.graph import CurrencyGraph, TriangularCycle
-from arbitrade.storage.db import DuckDBStore
+from arbitrade.storage.pg_store import PgStore
 from arbitrade.storage.repositories import BacktestJobRepository
 
 _LOG = structlog.get_logger(__name__)
@@ -50,11 +50,11 @@ def _parse_balances(raw: str) -> dict[str, float]:
 async def run_backtest_job(
     job_id: str,
     config_dict: dict[str, object] | None,
-    store: DuckDBStore,
+    store: PgStore,
 ) -> None:
     """Execute a single backtest job: load events from DB or file, run engine, store report."""
     repo = BacktestJobRepository(store)
-    repo.update_status(job_id, "running")
+    await repo.update_status(job_id, "running")
     _LOG.info("backtest_job_started", job_id=job_id)
 
     try:
@@ -79,7 +79,7 @@ async def run_backtest_job(
             elif isinstance(symbols_raw, list):
                 symbols = [str(s).upper() for s in symbols_raw]
 
-            events = load_replay_events_from_db(
+            events = await load_replay_events_from_db(
                 store,
                 symbols=symbols,
                 start=start_dt,
@@ -141,18 +141,18 @@ async def run_backtest_job(
             "finished_at": report.finished_at.isoformat(),
         }
 
-        repo.store_report(job_id, report_dict)
-        repo.update_status(job_id, "completed")
+        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:
-        repo.update_status(job_id, "failed", error=str(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: DuckDBStore,
+    store: PgStore,
 ) -> None:
     """Worker coroutine: pull jobs from queue and execute them one at a time."""
     _LOG.info("backtest_worker_started")

src/arbitrade/config/pairing_sync.py

@@ -9,7 +9,7 @@ import structlog
 from arbitrade.config.service import ConfigPairing
 from arbitrade.detection.graph import CurrencyGraph
 from arbitrade.exchange.kraken_rest import KrakenRestClient
-from arbitrade.storage.db import DuckDBStore
+from arbitrade.storage.pg_store import PgStore
 from arbitrade.storage.repositories import ConfigPairingRepository
 
 _LOG = structlog.get_logger(__name__)
@@ -17,7 +17,7 @@ _LOG = structlog.get_logger(__name__)
 
 async def sync_pairings_from_kraken(
     kraken_client: KrakenRestClient,
-    store: DuckDBStore,
+    store: PgStore,
 ) -> dict[str, int]:
     """Fetch all asset pairs from Kraken and upsert into config_pairings.
 
@@ -37,7 +37,7 @@ async def sync_pairings_from_kraken(
         if symbol in seen_symbols:
             continue
         seen_symbols.add(symbol)
-        existing = repo.get_pairing(base, quote)
+        existing = await repo.get_pairing(base, quote)
         pairing = ConfigPairing(
             base_asset=base,
             quote_asset=quote,
@@ -45,7 +45,7 @@ async def sync_pairings_from_kraken(
             source="kraken",
         )
         try:
-            repo.upsert_pairing(pairing)
+            await repo.upsert_pairing(pairing)
             total += 1
             if existing:
                 updated += 1
@@ -65,7 +65,7 @@ async def sync_pairings_from_kraken(
 
 async def run_pairing_sync_loop(
     kraken_client: KrakenRestClient,
-    store: DuckDBStore,
+    store: PgStore,
     stop_event: asyncio.Event,
     interval_seconds: int = 86400,
 ) -> None:

src/arbitrade/config/service.py

@@ -7,7 +7,7 @@ import orjson
 from pydantic import BaseModel
 
 from arbitrade.config.settings import Settings
-from arbitrade.storage.db import DuckDBStore
+from arbitrade.storage.pg_store import PgStore
 
 
 class ConfigSection(BaseModel):
@@ -49,16 +49,15 @@ class ConfigBacktestingDefaults(BaseModel):
 class ConfigurationService:
     """Manages application configuration from environment and database sources."""
 
-    def __init__(self, settings: Settings, store: DuckDBStore, audit_repo: Any) -> None:
+    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
-        self._load_database_settings()
 
-    def _load_database_settings(self) -> 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
@@ -66,7 +65,7 @@ class ConfigurationService:
         setting_repo = ConfigSettingRepository(self._store)
 
         # Load all settings from database
-        db_settings = setting_repo.list_settings()
+        db_settings = await setting_repo.list_settings()
 
         # Convert to dictionary for easy access
         for setting in db_settings:
@@ -116,7 +115,7 @@ class ConfigurationService:
         """Get the timestamp of the last configuration update."""
         return self._last_updated_at
 
-    def is_config_outdated(self) -> bool:
+    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
@@ -124,7 +123,7 @@ class ConfigurationService:
         setting_repo = ConfigSettingRepository(self._store)
 
         # Get the latest update timestamp from database
-        latest_db_update = setting_repo.get_latest_updated_at()
+        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:
@@ -133,15 +132,15 @@ class ConfigurationService:
             return True
         return False
 
-    def reload_if_changed(self) -> bool:
+    async def reload_if_changed(self) -> bool:
         """Reload configuration if it has been updated in the database."""
-        if self.is_config_outdated():
-            self._load_database_settings()
+        if await self.is_config_outdated():
+            await self.load_database_settings()
             self._config_version += 1
             return True
         return False
 
-    def set_setting(self, key: str, value: Any, updated_by: str | None = None) -> None:
+    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
@@ -183,13 +182,13 @@ class ConfigurationService:
         )
 
         # Check if setting exists
-        existing_setting = setting_repo.get_setting(key)
+        existing_setting = await setting_repo.get_setting(key)
         if existing_setting:
             # Update existing setting
-            updated_setting = setting_repo.update_setting(key, setting)
+            updated_setting = await setting_repo.update_setting(key, setting)
         else:
             # Create new setting
-            updated_setting = setting_repo.create_setting(setting)
+            updated_setting = await setting_repo.create_setting(setting)
 
         # Update in-memory cache
         self._loaded_settings[key] = value
@@ -211,18 +210,18 @@ class ConfigurationService:
 
         return ConfigPairingRepository(self._store)
 
-    def list_pairings(self) -> list[ConfigPairing]:
+    async def list_pairings(self) -> list[ConfigPairing]:
         """List all currency pairings."""
         r = self._pairing_repo()  # type: ignore[no-untyped-call]
-        p = r.list_pairings()
+        p = await r.list_pairings()
         return p  # type: ignore[no-any-return]
 
-    def create_pairing(
+    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 = r.get_pairing(base_asset, quote_asset)
+        e = await r.get_pairing(base_asset, quote_asset)
         if e:
             return e  # type: ignore[no-any-return]
         pairing = ConfigPairing(

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
@@ -32,49 +31,78 @@ class Settings(BaseSettings):
     )
 
     alerts_enabled: bool = Field(default=True, alias="ALERTS_ENABLED")
-    alert_min_severity: str = Field(default="warning", alias="ALERT_MIN_SEVERITY")
-    alert_dedup_seconds: float = Field(default=30.0, alias="ALERT_DEDUP_SECONDS")
-    alert_on_trade_events: bool = Field(default=True, alias="ALERT_ON_TRADE_EVENTS")
-    alert_on_error_events: bool = Field(default=True, alias="ALERT_ON_ERROR_EVENTS")
-    alert_on_threshold_events: bool = Field(default=True, alias="ALERT_ON_THRESHOLD_EVENTS")
-    alert_on_system_events: bool = Field(default=True, alias="ALERT_ON_SYSTEM_EVENTS")
+    alert_min_severity: str = Field(
+        default="warning", alias="ALERT_MIN_SEVERITY")
+    alert_dedup_seconds: float = Field(
+        default=30.0, alias="ALERT_DEDUP_SECONDS")
+    alert_on_trade_events: bool = Field(
+        default=True, alias="ALERT_ON_TRADE_EVENTS")
+    alert_on_error_events: bool = Field(
+        default=True, alias="ALERT_ON_ERROR_EVENTS")
+    alert_on_threshold_events: bool = Field(
+        default=True, alias="ALERT_ON_THRESHOLD_EVENTS")
+    alert_on_system_events: bool = Field(
+        default=True, alias="ALERT_ON_SYSTEM_EVENTS")
 
-    telegram_alerts_enabled: bool = Field(default=False, alias="TELEGRAM_ALERTS_ENABLED")
-    telegram_bot_token: str | None = Field(default=None, alias="TELEGRAM_BOT_TOKEN")
-    telegram_chat_id: str | None = Field(default=None, alias="TELEGRAM_CHAT_ID")
+    telegram_alerts_enabled: bool = Field(
+        default=False, alias="TELEGRAM_ALERTS_ENABLED")
+    telegram_bot_token: str | None = Field(
+        default=None, alias="TELEGRAM_BOT_TOKEN")
+    telegram_chat_id: str | None = Field(
+        default=None, alias="TELEGRAM_CHAT_ID")
 
-    discord_alerts_enabled: bool = Field(default=False, alias="DISCORD_ALERTS_ENABLED")
-    discord_webhook_url: str | None = Field(default=None, alias="DISCORD_WEBHOOK_URL")
+    discord_alerts_enabled: bool = Field(
+        default=False, alias="DISCORD_ALERTS_ENABLED")
+    discord_webhook_url: str | None = Field(
+        default=None, alias="DISCORD_WEBHOOK_URL")
 
-    email_alerts_enabled: bool = Field(default=False, alias="EMAIL_ALERTS_ENABLED")
+    email_alerts_enabled: bool = Field(
+        default=False, alias="EMAIL_ALERTS_ENABLED")
     email_smtp_host: str | None = Field(default=None, alias="EMAIL_SMTP_HOST")
     email_smtp_port: int = Field(default=587, alias="EMAIL_SMTP_PORT")
-    email_smtp_username: str | None = Field(default=None, alias="EMAIL_SMTP_USERNAME")
-    email_smtp_password: str | None = Field(default=None, alias="EMAIL_SMTP_PASSWORD")
-    email_alert_from: str | None = Field(default=None, alias="EMAIL_ALERT_FROM")
+    email_smtp_username: str | None = Field(
+        default=None, alias="EMAIL_SMTP_USERNAME")
+    email_smtp_password: str | None = Field(
+        default=None, alias="EMAIL_SMTP_PASSWORD")
+    email_alert_from: str | None = Field(
+        default=None, alias="EMAIL_ALERT_FROM")
     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")
+    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")
     kraken_private_rate_limit_seconds: float = Field(
         default=1.0, alias="KRAKEN_PRIVATE_RATE_LIMIT_SECONDS"
     )
-    kraken_http_timeout_seconds: float = Field(default=10.0, alias="KRAKEN_HTTP_TIMEOUT_SECONDS")
-    kraken_retry_attempts: int = Field(default=3, alias="KRAKEN_RETRY_ATTEMPTS")
+    kraken_http_timeout_seconds: float = Field(
+        default=10.0, alias="KRAKEN_HTTP_TIMEOUT_SECONDS")
+    kraken_retry_attempts: int = Field(
+        default=3, alias="KRAKEN_RETRY_ATTEMPTS")
     kraken_retry_base_delay_seconds: float = Field(
         default=0.25, alias="KRAKEN_RETRY_BASE_DELAY_SECONDS"
     )
     kraken_api_key: str | None = Field(default=None, alias="KRAKEN_API_KEY")
-    kraken_api_secret: str | None = Field(default=None, alias="KRAKEN_API_SECRET")
+    kraken_api_secret: str | None = Field(
+        default=None, alias="KRAKEN_API_SECRET")
     kraken_api_key_permissions: str = Field(
         default="query,trade",
         alias="KRAKEN_API_KEY_PERMISSIONS",
     )
-    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")
+    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",
@@ -97,20 +125,29 @@ class Settings(BaseSettings):
     )
     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")
-    max_concurrent_trades: int | None = Field(default=None, alias="MAX_CONCURRENT_TRADES")
+    max_trade_capital_usd: float = Field(
+        default=100.0, alias="MAX_TRADE_CAPITAL_USD")
+    max_concurrent_trades: int | None = Field(
+        default=None, alias="MAX_CONCURRENT_TRADES")
     max_exposure_per_asset_usd: float | None = Field(
         default=None,
         alias="MAX_EXPOSURE_PER_ASSET_USD",
     )
-    quote_balance_asset: str = Field(default="USD", alias="QUOTE_BALANCE_ASSET")
-    min_order_size_usd: float | None = Field(default=None, alias="MIN_ORDER_SIZE_USD")
+    quote_balance_asset: str = Field(
+        default="USD", alias="QUOTE_BALANCE_ASSET")
+    min_order_size_usd: float | None = Field(
+        default=None, alias="MIN_ORDER_SIZE_USD")
     kill_switch_active: bool = Field(default=False, alias="KILL_SWITCH_ACTIVE")
-    daily_loss_limit_usd: float | None = Field(default=None, alias="DAILY_LOSS_LIMIT_USD")
-    cumulative_loss_limit_usd: float | None = Field(default=None, alias="CUMULATIVE_LOSS_LIMIT_USD")
-    max_source_latency_ms: float | None = Field(default=None, alias="MAX_SOURCE_LATENCY_MS")
-    max_apply_latency_ms: float | None = Field(default=None, alias="MAX_APPLY_LATENCY_MS")
-    max_consecutive_failures: int | None = Field(default=None, alias="MAX_CONSECUTIVE_FAILURES")
+    daily_loss_limit_usd: float | None = Field(
+        default=None, alias="DAILY_LOSS_LIMIT_USD")
+    cumulative_loss_limit_usd: float | None = Field(
+        default=None, alias="CUMULATIVE_LOSS_LIMIT_USD")
+    max_source_latency_ms: float | None = Field(
+        default=None, alias="MAX_SOURCE_LATENCY_MS")
+    max_apply_latency_ms: float | None = Field(
+        default=None, alias="MAX_APPLY_LATENCY_MS")
+    max_consecutive_failures: int | None = Field(
+        default=None, alias="MAX_CONSECUTIVE_FAILURES")
 
     fernet_key: str | None = Field(default=None, alias="FERNET_KEY")
 
@@ -127,7 +164,8 @@ class Settings(BaseSettings):
     def _validate_log_level(cls, value: str) -> str:
         normalized = value.strip().upper()
         if normalized not in {"DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"}:
-            raise ValueError("LOG_LEVEL must be one of: DEBUG, INFO, WARNING, ERROR, CRITICAL")
+            raise ValueError(
+                "LOG_LEVEL must be one of: DEBUG, INFO, WARNING, ERROR, CRITICAL")
         return normalized
 
     @field_validator("alert_min_severity")
@@ -135,16 +173,19 @@ class Settings(BaseSettings):
     def _validate_alert_severity(cls, value: str) -> str:
         normalized = value.strip().lower()
         if normalized not in {"info", "warning", "error", "critical"}:
-            raise ValueError("ALERT_MIN_SEVERITY must be one of: info, warning, error, critical")
+            raise ValueError(
+                "ALERT_MIN_SEVERITY must be one of: info, warning, error, critical")
         return normalized
 
     @model_validator(mode="after")
     def _validate_security_constraints(self) -> Settings:
         if bool(self.dashboard_auth_username) ^ bool(self.dashboard_auth_password):
-            raise ValueError("dashboard auth requires both username and password")
+            raise ValueError(
+                "dashboard auth requires both username and password")
 
         if bool(self.kraken_api_key) ^ bool(self.kraken_api_secret):
-            raise ValueError("Kraken API auth requires both API key and secret")
+            raise ValueError(
+                "Kraken API auth requires both API key and secret")
 
         permissions = {
             token.strip().lower()
@@ -152,9 +193,11 @@ class Settings(BaseSettings):
             if token.strip()
         }
         if permissions and ("query" not in permissions or "trade" not in permissions):
-            raise ValueError("KRAKEN_API_KEY_PERMISSIONS must include query and trade")
+            raise ValueError(
+                "KRAKEN_API_KEY_PERMISSIONS must include query and trade")
         if "withdraw" in permissions or "withdrawals" in permissions:
-            raise ValueError("KRAKEN_API_KEY_PERMISSIONS must not include withdrawal scope")
+            raise ValueError(
+                "KRAKEN_API_KEY_PERMISSIONS must not include withdrawal scope")
 
         if self.alert_dedup_seconds < 0.0:
             raise ValueError("ALERT_DEDUP_SECONDS must be >= 0")
@@ -170,7 +213,8 @@ class Settings(BaseSettings):
                 "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")
+            raise ValueError(
+                "STRATEGY_STAT_ARB_MAX_HOLDING_SECONDS must be > 0")
 
         return self
 

src/arbitrade/exchange/fee_service.py

@@ -9,7 +9,7 @@ import orjson
 import structlog
 
 from arbitrade.exchange.kraken_rest import KrakenRestClient
-from arbitrade.storage.db import DuckDBStore
+from arbitrade.storage.pg_store import PgStore
 from arbitrade.storage.repositories import (
     KrakenAccountSnapshot,
     KrakenAccountSnapshotRepository,
@@ -22,7 +22,7 @@ _FEE_REFRESH_INTERVAL_SECONDS = 86400  # 1 day
 
 async def fetch_and_store_account_snapshot(
     client: KrakenRestClient,
-    store: DuckDBStore,
+    store: PgStore,
 ) -> KrakenAccountSnapshot | None:
     """Query TradeVolume + TradeBalance, persist as snapshot.
 
@@ -42,9 +42,12 @@ async def fetch_and_store_account_snapshot(
         _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
+    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")
 
@@ -70,7 +73,8 @@ async def fetch_and_store_account_snapshot(
     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
+    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),
@@ -78,11 +82,12 @@ async def fetch_and_store_account_snapshot(
         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,
+        trade_balance_raw=balance_data if isinstance(
+            balance_data, dict) else None,
         fee_schedule_raw=fee_schedule if fee_schedule else None,
     )
 
-    repo.insert_snapshot(snapshot)
+    await repo.insert_snapshot(snapshot)
     _LOG.info(
         "account_snapshot_stored",
         fee_tier=fee_tier_str,
@@ -97,15 +102,14 @@ async def fetch_and_store_account_snapshot(
         if isinstance(balance_data, dict):
             eb = balance_data.get("eb")
             total_value = float(eb) if eb is not None else 0.0
-        with store.connect() as conn:
-            conn.execute(
+        async with store.pool.acquire() as conn:
+            await conn.execute(
                 "INSERT INTO portfolio_snapshots"
-                " (snapshot_at, balances, total_value_usd) VALUES (?, ?, ?)",
-                (
+                " (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,
+                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:
@@ -116,14 +120,15 @@ async def fetch_and_store_account_snapshot(
 
 async def run_fee_sync_loop(
     client: KrakenRestClient,
-    store: DuckDBStore,
+    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)
+    _LOG.info("fee_sync_loop_started",
+              interval_s=_FEE_REFRESH_INTERVAL_SECONDS)
 
     while not stop_event.is_set():
         try:

src/arbitrade/market_data/feed_builder.py

@@ -6,14 +6,14 @@ import structlog
 
 from arbitrade.detection.engine import IncrementalCycleDetector
 from arbitrade.detection.graph import CurrencyGraph
-from arbitrade.storage.db import DuckDBStore
+from arbitrade.storage.pg_store import PgStore
 from arbitrade.storage.repositories import ConfigPairingRepository
 
 _LOG = structlog.get_logger(__name__)
 
 
-def build_detector_from_enabled_pairings(
-    store: DuckDBStore,
+async def build_detector_from_enabled_pairings(
+    store: PgStore,
     *,
     fee_rate: float = 0.0,
     max_depth_levels: int = 10,
@@ -24,7 +24,7 @@ def build_detector_from_enabled_pairings(
     Returns None if no enabled pairings exist.
     """
     repo = ConfigPairingRepository(store)
-    pairings = repo.list_pairings(enabled_only=True)
+    pairings = await repo.list_pairings(enabled_only=True)
     if not pairings:
         _LOG.warning("no_enabled_pairings_found_detector_not_created")
         return None
@@ -55,8 +55,8 @@ def build_detector_from_enabled_pairings(
     )
 
 
-def get_enabled_pair_symbols(store: DuckDBStore) -> list[str]:
+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 = repo.list_pairings(enabled_only=True)
+    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)
@@ -19,57 +19,55 @@ class PerformanceMetrics:
 
 
 class MetricsCalculator:
-    def __init__(self, store: DuckDBStore) -> None:
+    def __init__(self, store: PgStore) -> None:
         self._store = store
 
-    def compute(self) -> PerformanceMetrics:
-        with self._store.connect() as conn:
-            tm = conn.execute("""
+    async def compute(self) -> PerformanceMetrics:
+        async with self._store.pool.acquire() as conn:
+            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,
-                    quantile_cont(
-                        EPOCH(finished_at) - EPOCH(started_at),
-                        0.50
-                    ) 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
+                    AVG(EXTRACT(EPOCH FROM finished_at - started_at)) AS avg_trade_duration_seconds,
+                    PERCENTILE_CONT(0.50) WITHIN GROUP (ORDER BY EXTRACT(EPOCH FROM finished_at - started_at)) AS latency_p50_seconds,
+                    PERCENTILE_CONT(0.95) WITHIN GROUP (ORDER BY EXTRACT(EPOCH FROM finished_at - started_at)) AS latency_p95_seconds,
+                    PERCENTILE_CONT(0.99) WITHIN GROUP (ORDER BY EXTRACT(EPOCH FROM finished_at - started_at)) AS latency_p99_seconds
                 FROM trades
                 WHERE finished_at IS NOT NULL
-                """).fetchone()
+                """)
 
-            om = 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()
+                """)
 
-            fm = 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()
+                """)
 
-        r_pnl_usd = float(tm[0]) if tm and tm[0] is not None else 0.0
-        tt = int(tm[1]) if tm and tm[1] is not None else 0
-        wt = int(tm[2]) if tm and tm[2] is not None else 0
+        r_pnl_usd = float(
+            tm["realized_pnl_usd"]) if tm and tm["realized_pnl_usd"] is not None else 0.0
+        tt = int(tm["total_trades"]
+                 ) if tm and tm["total_trades"] 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
 
-        atd = float(tm[3]) if tm and tm[3] is not None else None
+        atd = float(tm["avg_trade_duration_seconds"]
+                    ) if tm and tm["avg_trade_duration_seconds"] is not None else None
 
-        oc = int(om[0]) if om is not None and om[0] is not None else 0
-        fo = om[1] if om is not None and isinstance(om[1], datetime) else None
-        lo = om[2] if om is not None and isinstance(om[2], datetime) else None
+        oc = 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 oc >= 2 and fo is not None and lo is not None:
@@ -82,11 +80,15 @@ class MetricsCalculator:
         else:
             opportunities_per_minute = None
 
-        fill_rate = float(fm[0]) if fm and fm[0] is not None else None
+        fill_rate = float(
+            fm["fill_rate"]) if fm and fm["fill_rate"] is not None else None
 
-        lp50 = float(tm[4]) if tm and tm[4] is not None else None
-        lp95 = float(tm[5]) if tm and tm[5] is not None else None
-        lp99 = float(tm[6]) if tm and tm[6] is not None else None
+        lp50 = float(tm["latency_p50_seconds"]
+                     ) if tm and tm["latency_p50_seconds"] is not None else None
+        lp95 = float(tm["latency_p95_seconds"]
+                     ) if tm and tm["latency_p95_seconds"] is not None else None
+        lp99 = float(tm["latency_p99_seconds"]
+                     ) if tm and tm["latency_p99_seconds"] is not None else None
 
         return PerformanceMetrics(
             realized_pnl_usd=r_pnl_usd,

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:
-    return cast(DuckDBStore, app.state.store)
+def _store(app: FastAPI) -> PgStore:
+    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:
-    with store.connect() as conn:
-        row = conn.execute("""
+async def _open_trade_count(store: PgStore) -> int:
+    async with store.pool.acquire() as conn:
+        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:
-    with store.connect() as conn:
-        row = conn.execute("""
+async def _latest_balances(store: PgStore) -> dict[str, Any] | None:
+    async with store.pool.acquire() as conn:
+        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 +106,7 @@ 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
@@ -118,11 +118,11 @@ 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),
-        last_known_balances=_latest_balances(store),
+        open_trade_count=await _open_trade_count(store),
+        last_known_balances=await _latest_balances(store),
         note=note,
     )
-    repository.insert(snapshot)
+    await repository.insert(snapshot)
     return snapshot
 
 
@@ -134,7 +134,7 @@ async def restore_runtime_state(app: FastAPI) -> RuntimeRecoveryReport:
     restored_from_snapshot = False
     snapshot_at: str | None = None
 
-    latest = repo.latest() if repo 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()
@@ -146,7 +146,7 @@ async def restore_runtime_state(app: FastAPI) -> RuntimeRecoveryReport:
             ctl.kill_switch.deactivate()
         ctl.mark_updated()
 
-    open_trades = _open_trade_count(store)
+    open_trades = await _open_trade_count(store)
     restart_guard_active = False
     if open_trades > 0:
         ctl.is_running = False
@@ -163,7 +163,7 @@ 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",
@@ -212,7 +212,7 @@ 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",
@@ -220,4 +220,4 @@ 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

@@ -1,233 +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 config_sections (
-    id INTEGER PRIMARY KEY,
-    name VARCHAR UNIQUE NOT NULL,
-    description TEXT,
-    updated_at TIMESTAMP 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 TIMESTAMP DEFAULT current_timestamp,
-    updated_by VARCHAR
-);
-
-CREATE TABLE IF NOT EXISTS config_pairings (
-    id INTEGER PRIMARY KEY,
-    base_asset VARCHAR NOT NULL,
-    quote_asset VARCHAR NOT NULL,
-    enabled BOOLEAN DEFAULT TRUE,
-    source VARCHAR NOT NULL,
-    created_at TIMESTAMP DEFAULT current_timestamp,
-    updated_at TIMESTAMP DEFAULT current_timestamp,
-    UNIQUE(base_asset, quote_asset)
-);
-
-CREATE TABLE IF NOT EXISTS config_backtesting_defaults (
-    id INTEGER PRIMARY KEY,
-    starting_balances JSON,
-    trade_capital DOUBLE,
-    min_profit_threshold DOUBLE,
-    slippage_bps INTEGER,
-    execution_latency_ms INTEGER,
-    fee_source VARCHAR DEFAULT 'api'
-);
-
-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
-);
-
-CREATE TABLE IF NOT EXISTS kraken_account_snapshots (
-    snapshot_at TIMESTAMP NOT NULL,
-    fee_tier VARCHAR,
-    maker_fee DOUBLE,
-    taker_fee DOUBLE,
-    thirty_day_volume DOUBLE,
-    trade_balance_raw JSON,
-    fee_schedule_raw JSON
-);
-
-CREATE TABLE IF NOT EXISTS backtest_jobs (
-    id UUID DEFAULT uuid(),
-    status VARCHAR NOT NULL DEFAULT 'pending',
-    events_path VARCHAR NOT NULL,
-    config JSON,
-    report JSON,
-    error VARCHAR,
-    created_at TIMESTAMP DEFAULT current_timestamp,
-    started_at TIMESTAMP,
-    finished_at TIMESTAMP
-);
-"""
-
-
-class DuckDBStore:
-    SCHEMA_VERSION = 5
-
-    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 _get_table_columns(self, conn: duckdb.DuckDBPyConnection, table_name: str) -> set[str]:
-        try:
-            rows = conn.execute(f"PRAGMA table_info({table_name})").fetchall()
-            return {str(row[1]) for row in rows}
-        except Exception:
-            return set()
-
-    def _table_exists(self, conn: duckdb.DuckDBPyConnection, table_name: str) -> bool:
-        try:
-            result = conn.execute(
-                f"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='{table_name}'"
-            ).fetchone()
-            count = result[0] if result else 0
-            return count > 0
-        except Exception:
-            return False
-
-    def _ensure_column(
-        self, conn: duckdb.DuckDBPyConnection, table_name: str, column_def: str
-    ) -> None:
-        """Add a column to a table if it doesn't already exist."""
-        existing = self._get_table_columns(conn, table_name)
-        col_name = column_def.split()[0]
-        if col_name not in existing:
-            conn.execute(f"ALTER TABLE {table_name} ADD COLUMN {column_def}")
-
-    def migrate(self) -> None:
-        with self.connect() as conn:
-            # Run CREATE TABLE IF NOT EXISTS for all tables
-            conn.execute(SCHEMA_SQL)
-
-            # Ensure schema_migrations table exists and get current version
-            if not self._table_exists(conn, "schema_migrations"):
-                conn.execute("""
-                    CREATE TABLE IF NOT EXISTS schema_migrations (
-                        version INTEGER PRIMARY KEY,
-                        applied_at TIMESTAMP DEFAULT current_timestamp
-                    )
-                """)
-
-            # Update version to current
-            conn.execute(
-                f"INSERT OR REPLACE INTO schema_migrations (version, applied_at) "
-                f"VALUES ({self.SCHEMA_VERSION}, current_timestamp)"
-            )

src/arbitrade/storage/executions.py

@@ -36,7 +36,8 @@ class AsyncExecutionWriter:
     async def start(self) -> None:
         if self._task is None or self._task.done():
             self._stop.clear()
-            self._task = asyncio.create_task(self._run(), name="execution-writer")
+            self._task = asyncio.create_task(
+                self._run(), name="execution-writer")
 
     async def stop(self) -> None:
         self._stop.set()
@@ -55,11 +56,11 @@ 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

@@ -24,14 +24,16 @@ class MarketSnapshot:
 class AsyncMarketSnapshotWriter:
     def __init__(self, repository: MarketSnapshotRepository, max_queue_size: int = 50_000) -> None:
         self._repository = repository
-        self._queue: asyncio.Queue[MarketSnapshot] = asyncio.Queue(maxsize=max_queue_size)
+        self._queue: asyncio.Queue[MarketSnapshot] = asyncio.Queue(
+            maxsize=max_queue_size)
         self._task: asyncio.Task[None] | None = None
         self._stop = asyncio.Event()
 
     async def start(self) -> None:
         if self._task is None or self._task.done():
             self._stop.clear()
-            self._task = asyncio.create_task(self._run(), name="market-snapshot-writer")
+            self._task = asyncio.create_task(
+                self._run(), name="market-snapshot-writer")
 
     async def stop(self) -> None:
         self._stop.set()
@@ -49,7 +51,7 @@ class AsyncMarketSnapshotWriter:
                 continue
 
             try:
-                self._repository.insert(
+                await self._repository.insert(
                     MarketSnapshotRecord(
                         snapshot_at=item.snapshot_at,
                         symbol=item.symbol,
@@ -59,6 +61,7 @@ class AsyncMarketSnapshotWriter:
                     )
                 )
             except Exception as exc:
-                _LOG.error("market_snapshot_write_failed", error=str(exc), symbol=item.symbol)
+                _LOG.error("market_snapshot_write_failed",
+                           error=str(exc), symbol=item.symbol)
             finally:
                 self._queue.task_done()

src/arbitrade/storage/opportunities.py

@@ -13,14 +13,16 @@ _LOG = structlog.get_logger(__name__)
 class AsyncOpportunityWriter:
     def __init__(self, repository: OpportunityRepository, max_queue_size: int = 50_000) -> None:
         self._repository = repository
-        self._queue: asyncio.Queue[OpportunityEvent] = asyncio.Queue(maxsize=max_queue_size)
+        self._queue: asyncio.Queue[OpportunityEvent] = asyncio.Queue(
+            maxsize=max_queue_size)
         self._task: asyncio.Task[None] | None = None
         self._stop = asyncio.Event()
 
     async def start(self) -> None:
         if self._task is None or self._task.done():
             self._stop.clear()
-            self._task = asyncio.create_task(self._run(), name="opportunity-writer")
+            self._task = asyncio.create_task(
+                self._run(), name="opportunity-writer")
 
     async def stop(self) -> None:
         self._stop.set()
@@ -38,7 +40,7 @@ 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 +1,134 @@
+"""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 +1,167 @@
+-- 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 TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+);
+
+-- ========================================
+-- Configuration
+-- ========================================
+CREATE TABLE IF NOT EXISTS config_sections (
+    id SERIAL PRIMARY KEY,
+    name VARCHAR UNIQUE NOT NULL,
+    description TEXT,
+    updated_at TIMESTAMP 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 TIMESTAMP 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 TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    updated_at TIMESTAMP 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 TIMESTAMP 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 TIMESTAMP NOT NULL,
+    finished_at TIMESTAMP,
+    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 TIMESTAMP NOT NULL
+);
+
+CREATE TABLE IF NOT EXISTS pnl_events (
+    id UUID DEFAULT gen_random_uuid() PRIMARY KEY,
+    trade_ref VARCHAR NOT NULL,
+    recorded_at TIMESTAMP 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 TIMESTAMP NOT NULL,
+    balances JSONB,
+    total_value_usd DOUBLE PRECISION
+);
+
+CREATE TABLE IF NOT EXISTS market_snapshots (
+    snapshot_at TIMESTAMP 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 TIMESTAMP 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 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 JSONB,
+    note VARCHAR
+);
+
+CREATE TABLE IF NOT EXISTS kraken_account_snapshots (
+    snapshot_at TIMESTAMP 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 TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    started_at TIMESTAMP,
+    finished_at TIMESTAMP
+);

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>

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 +1,25 @@
+"""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 pytest
+
+
+def pytest_ignore_collect(path: str, config: pytest.Config) -> bool:
+    """Skip integration tests unless --integration is passed."""
+    if "integration" in 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 +1,52 @@
+from __future__ import annotations
+
+from collections.abc import AsyncIterator
+from contextlib import asynccontextmanager
+from datetime import UTC, datetime
+
+import pytest
+import pytest_asyncio
+
+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_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.pg_store import PgStore
+from arbitrade.storage.executions import AsyncExecutionWriter
+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 +1,84 @@
+from __future__ import annotations
+
+from collections.abc import AsyncIterator
+from contextlib import asynccontextmanager
+from datetime import UTC, datetime, timedelta
+
+import pytest
+import pytest_asyncio
+
+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.pg_store import PgStore
+from arbitrade.storage.opportunities import AsyncOpportunityWriter
+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 +1,359 @@
+"""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 Settings, 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_config_repositories.py

@@ -8,7 +8,7 @@ from arbitrade.config.service import (
     ConfigPairing,
     ConfigSetting,
 )
-from arbitrade.storage.db import DuckDBStore
+from arbitrade.storage.pg_store import PgStore
 from arbitrade.storage.repositories import (
     ConfigBacktestingDefaultsRepository,
     ConfigPairingRepository,
@@ -19,7 +19,7 @@ from arbitrade.storage.repositories import (
 @pytest.fixture
 def mock_store():
     """Create a mock database store."""
-    store = Mock(spec=DuckDBStore)
+    store = Mock(spec=PgStore)
     return store
 
 
@@ -244,7 +244,8 @@ def test_config_pairing_repository_create_pairing(mock_store):
         ]
 
         # Create pairing
-        pairing = ConfigPairing(base_asset="BTC", quote_asset="USD", enabled=True, source="Kraken")
+        pairing = ConfigPairing(
+            base_asset="BTC", quote_asset="USD", enabled=True, source="Kraken")
 
         result = repo.create_pairing(pairing)
 

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