Update ml_engine/indicators.py

ml_engine/indicators.py

@@ -1,4 +1,4 @@
-# ml_engine/indicators.py (V10.1 - SyntaxError FIX)
+# ml_engine/indicators.py (V10.1 - SyntaxError FIX & Super-Brain)
 import pandas as pd
 import pandas_ta as ta
 import numpy as np
@@ -94,8 +94,9 @@ class AdvancedTechnicalAnalyzer:
                 vol_of_vol_series = ta.atr(atr_series, length=10) # (Vol-of-Vol)
                 if vol_of_vol_series is not None: features['vol_of_vol'] = vol_of_vol_series.iloc[-1]
             last_return = close.pct_change().iloc[-1]
-            if atr_val and atr_val > 0: features['atr_normalized_return'] = last_return / atr_val
-                
+            if atr_val and atr_val > 0: 
+                features['atr_normalized_return'] = last_return / atr_val
+            
             # --- 7. (جديد V9.8) ميزات النظام (Regime Features) ---
             if HURST_AVAILABLE:
                 hurst_series = close.tail(100).to_numpy()
@@ -118,6 +119,8 @@ class AdvancedTechnicalAnalyzer:
             if value is not None and np.isfinite(value): final_features[key] = float(value)
             else: final_features[key] = 0.0
         return final_features
+    # 🔴 --- END OF UPDATED FUNCTION (V10.0) --- 🔴
+
 
     # -----------------------------------------------------------------
     # --- (الدوال القديمة تبقى كما هي للاستخدامات الأخرى مثل Sentry 1m) ---
@@ -270,7 +273,7 @@ class AdvancedTechnicalAnalyzer:
                     volatility['atr'] = atr_value
                     current_close = dataframe['close'].iloc[-1] if not dataframe['close'].empty else 0
                     if atr_value and current_close > 0: 
-                        volatility['atr_percent'] = (atr_value / current_close) * 100
+                        volatility['atr_percent'] = (atr_value / current_price) * 100
         
         except Exception as e:
             # print(f"⚠️ خطأ في حساب مؤشرات التقلب: {e}")