improvement

src/data_handler.py

@@ -4,7 +4,7 @@ Handles all market data fetching and processing operations.
 """
 
 import pandas as pd
-from datetime import datetime, timedelta
+from datetime import datetime, timedelta, timezone
 import logging
 import alpaca_trade_api as tradeapi
 from config.trading_config import alpaca_config, trading_config
@@ -55,6 +55,7 @@ class DataHandler:
             }
             tf = tf_map.get(timeframe, tradeapi.TimeFrame.Hour)
             
+            # Use simple date format for historical data
             bars = self.api.get_crypto_bars(symbol, tf, start_date, end_date).df
             bars.index = pd.to_datetime(bars.index)
             
@@ -129,12 +130,19 @@ class DataHandler:
         symbol = symbol or trading_config.symbol
         
         try:
-            # Get latest bar
+            # Get latest bar using proper RFC3339 format
+            end_time = datetime.now()
+            start_time = end_time - timedelta(minutes=5)
+            
+            # Convert to RFC3339 format with timezone offset
+            start_str = start_time.strftime('%Y-%m-%dT%H:%M:%S-00:00')
+            end_str = end_time.strftime('%Y-%m-%dT%H:%M:%S-00:00')
+            
             bars = self.api.get_crypto_bars(
                 symbol, 
                 tradeapi.TimeFrame.Minute, 
-                datetime.now() - timedelta(minutes=5),
-                datetime.now()
+                start_str,
+                end_str
             ).df
             
             if not bars.empty:

src/trading_engine.py

@@ -59,10 +59,15 @@ class TradingEngine:
                 'equity': float(account.equity),
                 'cash': float(account.cash),
                 'buying_power': float(account.buying_power),
-                'day_trade_count': int(account.day_trade_count),
-                'pattern_day_trader': account.pattern_day_trader
+                'pattern_day_trader': getattr(account, 'pattern_day_trader', False)
             }
             
+            # Day trade count might not be available for crypto accounts
+            if hasattr(account, 'day_trade_count'):
+                account_info['day_trade_count'] = int(account.day_trade_count)
+            else:
+                account_info['day_trade_count'] = 0
+            
             # Update peak portfolio value
             if self.peak_portfolio_value is None or account_info['equity'] > self.peak_portfolio_value:
                 self.peak_portfolio_value = account_info['equity']
@@ -74,6 +79,7 @@ class TradingEngine:
             
         except Exception as e:
             logger.error(f"Error getting account info: {e}")
+            logger.error("Failed to get account information")
             return None
     
     def get_current_position(self, symbol: str = None) -> dict: