docs: update backtesting research, optimizer, ADX and visual analysis

download_data.py

@@ -4,7 +4,7 @@ Script para descargar datos históricos de múltiples símbolos y timeframes
 """
 import os
 from dotenv import load_dotenv
-from datetime import datetime
+from datetime import datetime, timedelta
 from pathlib import Path
 from src.utils.logger import log
 from src.data.fetcher import DataFetcher
@@ -47,13 +47,16 @@ def download_multiple_symbols():
     ]
     
     # Días históricos
-    days_back = 120  # 4 meses
+    # days_back = 120  # 4 meses
+    END_DATE = datetime.utcnow()
+    START_DATE = END_DATE - timedelta(days=365 * 3)
     
     log.info(f"\n📊 Configuración:")
     log.info(f"   Exchange: {exchange_name}")
     log.info(f"   Símbolos: {len(symbols)} → {symbols}")
     log.info(f"   Timeframes: {timeframes}")
-    log.info(f"   Días históricos: {days_back}")
+    # log.info(f"   Días históricos: {days_back}")
+    log.info(f"   Días históricos: from {START_DATE} until {END_DATE}")
     log.info(f"   Total descargas: {len(symbols) * len(timeframes)}")
     
     # Confirmar
@@ -116,7 +119,9 @@ def download_multiple_symbols():
                 df = fetcher.fetch_historical(
                     symbol=symbol,
                     timeframe=timeframe,
-                    days=days_back
+                    # days=days_back
+                    since=START_DATE,
+                    until=END_DATE
                 )
                 
                 if df.empty:
@@ -128,6 +133,7 @@ def download_multiple_symbols():
                 log.info(f"🧹 Procesando datos...")
                 df_clean = processor.clean_data(df)
                 df_clean = processor.calculate_returns(df_clean)
+                df_clean = processor.calculate_indicators(df_clean)
                 
                 # Guardar
                 log.info(f"💾 Guardando en base de datos...")