Initial v1 autonomous alpaca llm trading bot with dark dashboard

db.py

@@ -0,0 +1,35 @@
+from sqlalchemy import create_engine, Column, Integer, String, Float, DateTime, Text
+from sqlalchemy.orm import declarative_base, sessionmaker
+from datetime import datetime
+from config import settings
+
+Base = declarative_base()
+engine = create_engine(settings.db_path, echo=False)
+SessionLocal = sessionmaker(bind=engine)
+
+class BotDecision(Base):
+    __tablename__ = "decisions"
+    id = Column(Integer, primary_key=True)
+    ts = Column(DateTime, default=datetime.utcnow)
+    symbol = Column(String(16), index=True)
+    action = Column(String(16))  # buy/sell/hold
+    confidence = Column(Float)
+    reason = Column(Text)
+    market_context = Column(Text)
+    order_usd = Column(Float)
+    status = Column(String(32), default="planned")
+
+class TradeExecution(Base):
+    __tablename__ = "trades"
+    id = Column(Integer, primary_key=True)
+    ts = Column(DateTime, default=datetime.utcnow)
+    symbol = Column(String(16), index=True)
+    side = Column(String(8))
+    qty = Column(Float)
+    notional = Column(Float)
+    alpaca_order_id = Column(String(128))
+    raw = Column(Text)
+
+
+def init_db():
+    Base.metadata.create_all(bind=engine)