Fix datetime comparison in log_daily_performance by converting to date objects

alpaca_trader/config.json

@@ -1,6 +1,6 @@
 {
     "DEBUG_MODE": true,
-    "SYMBOL": "SPY",
+    "SYMBOL": "QQQ",
     "BAR_TIMEFRAME": "5Min",
     "RISK_PER_TRADE": 0.01,
     "SHORT_WINDOW": 10,

alpaca_trader/engine.py

@@ -526,8 +526,8 @@ def log_daily_performance(date, opening_equity, closing_equity, total_trades, wi
         if PERFORMANCE_PATH.exists():
             existing = pd.read_csv(PERFORMANCE_PATH)
             df = pd.concat([existing, df], ignore_index=True)
-            cutoff_date = datetime.now(EASTERN) - timedelta(days=180)
-            df['date'] = pd.to_datetime(df['date'])
+            cutoff_date = (datetime.now(EASTERN) - timedelta(days=180)).date()
+            df['date'] = pd.to_datetime(df['date']).dt.date
             df = df[df['date'] > cutoff_date]
         
         df.to_csv(PERFORMANCE_PATH, index=False)