Wire the trading bot to real Alpaca market data and persist pipeline
state to the database so the dashboard displays live information.
- Add market-data service fetching OHLCV bars from Alpaca, publishing
to market:bars Redis Stream; signal generator consumes bars and
injects current_price into signals for position sizing
- Sentiment analyzer now persists Article + ArticleSentiment rows to
DB after scoring, with duplicate and error handling
- API gateway runs a background portfolio sync task that snapshots
Alpaca account state into PortfolioSnapshot/Position DB tables
during market hours
- TradeSignal carries a signal_id UUID; signal generator and trade
executor both persist their records to DB with cross-references
- 303 unit tests pass (57 new tests added)
C1: Fix BacktestDataLoader constructor args (was passing wrong kwargs)
C2: Fix BacktestResult attribute names (max_drawdown_pct, avg_hold_duration)
C3: Remove insecure JWT secret default (now required via env var)
C4: Fix .env.example to use TRADING_ prefix for all config vars
C5: Add missing fields to portfolio endpoint (daily_pnl_pct, total_pnl, trading_active)
C6: Add missing /portfolio/metrics endpoint
C7: Add 'value' field to equity curve response for frontend compatibility
C8: Add 6M/ALL periods and case-insensitive period enum parsing
Also: make app creation lazy to avoid config validation at import time
