Engine: add stop loss integration (fixed & trailing) with tests

backtest.py

@@ -33,12 +33,10 @@ def run_backtest_demo():
     # Configuración del backtest
     symbol = 'BTC/USDT'
     timeframe = '1h'
-    days_back = 60  # 2 meses de datos
     
     log.info(f"\n📊 Configuración:")
     log.info(f"   Símbolo: {symbol}")
     log.info(f"   Timeframe: {timeframe}")
-    log.info(f"   Periodo: {days_back} días")
     
     # Conectar a base de datos
     storage = StorageManager(
@@ -50,15 +48,13 @@ def run_backtest_demo():
     )
     
     # Cargar datos
-    log.info("\n📥 Cargando datos desde PostgreSQL...")
-    end_date = datetime.now()
-    start_date = end_date - timedelta(days=days_back)
+    log.info("\n📥 Cargando TODOS los datos desde PostgreSQL...")
     
     data = storage.load_ohlcv(
         symbol=symbol,
         timeframe=timeframe,
-        start_date=start_date,
-        end_date=end_date,
+        start_date=None,
+        end_date=None,
         use_cache=False
     )
     
@@ -68,8 +64,9 @@ def run_backtest_demo():
         return
     
     log.success(f"✓ Datos cargados: {len(data)} velas")
-    log.info(f"   Desde: {data.index[0]}")
-    log.info(f"   Hasta: {data.index[-1]}")
+    log.info(f"   Desde: {data.index.min()}")
+    log.info(f"   Hasta: {data.index.max()}")
+    log.info(f"   Total días: {(data.index.max() - data.index.min()).days}")
     
     # Crear estrategia
     strategy = MovingAverageCrossover(
@@ -137,7 +134,6 @@ def compare_strategies_demo():
     # Configuración
     symbol = 'BTC/USDT'
     timeframe = '1h'
-    days_back = 60
     
     # Conectar a base de datos y cargar datos
     storage = StorageManager(
@@ -148,10 +144,13 @@ def compare_strategies_demo():
         db_password=os.getenv('DB_PASSWORD'),
     )
     
-    end_date = datetime.now()
-    start_date = end_date - timedelta(days=days_back)
-    
-    data = storage.load_ohlcv(symbol, timeframe, start_date, end_date, use_cache=False)
+    data = storage.load_ohlcv(
+        symbol=symbol,
+        timeframe=timeframe,
+        start_date=None,
+        end_date=None,
+        use_cache=False
+    )
     
     if data.empty:
         log.error(f"❌ No hay datos disponibles")