e2a3bd456d
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)
16 lines
467 B
Python
16 lines
467 B
Python
"""Configuration for the market data service."""
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from shared.config import BaseConfig
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class MarketDataConfig(BaseConfig):
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"""Extends BaseConfig with market-data-specific settings."""
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watchlist: list[str] = ["AAPL", "TSLA", "NVDA", "MSFT", "GOOGL"]
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bar_timeframe: str = "5Min"
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poll_interval_seconds: int = 60
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historical_bars: int = 100
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alpaca_api_key: str = ""
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alpaca_secret_key: str = ""
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model_config = {"env_prefix": "TRADING_"}
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