Initial v1 autonomous alpaca llm trading bot with dark dashboard

bot.py

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+from apscheduler.schedulers.background import BackgroundScheduler
+from datetime import datetime
+import json
+from config import settings
+from db import SessionLocal, BotDecision, TradeExecution
+from services import searx_news, ollama_decide, place_order
+
+scheduler = BackgroundScheduler(timezone=settings.timezone)
+
+
+def run_cycle():
+    db = SessionLocal()
+    try:
+        for symbol in settings.symbols:
+            news = searx_news(symbol)
+            decision = ollama_decide(symbol, news)
+
+            drow = BotDecision(
+                symbol=symbol,
+                action=decision["action"],
+                confidence=decision["confidence"],
+                reason=decision["reason"],
+                market_context=json.dumps(news)[:60000],
+                order_usd=decision["order_usd"],
+                status="planned",
+            )
+            db.add(drow)
+            db.commit()
+            db.refresh(drow)
+
+            if decision["action"] in {"buy", "sell"} and decision["confidence"] >= 0.55:
+                res = place_order(symbol, decision["action"], min(settings.max_order_usd, decision["order_usd"]))
+                ok = bool(res and res.get("ok"))
+                drow.status = "executed" if ok else "failed"
+                db.add(drow)
+                db.add(TradeExecution(
+                    symbol=symbol,
+                    side=decision["action"],
+                    qty=float((res or {}).get("json", {}).get("qty", 0) or 0),
+                    notional=min(settings.max_order_usd, decision["order_usd"]),
+                    alpaca_order_id=(res or {}).get("json", {}).get("id", ""),
+                    raw=json.dumps(res)[:60000],
+                ))
+                db.commit()
+            else:
+                drow.status = "skipped"
+                db.add(drow)
+                db.commit()
+    finally:
+        db.close()
+
+
+def start_scheduler():
+    scheduler.add_job(run_cycle, "interval", hours=settings.trade_interval_hours, id="trade_cycle", replace_existing=True)
+    scheduler.start()