Update ml_model.py

ml_model.py

@@ -1,5 +1,4 @@
 import pandas as pd
-import pandas_ta as ta
 from sklearn.ensemble import RandomForestClassifier
 import joblib
 import os
@@ -7,6 +6,32 @@ import os
 # Nouveau nom pour forcer la création d'un modèle neuf
 ML_MODEL_FILE = "ml_model_v9.pkl"
 
+import pandas as pd
+import joblib
+import os
+from sklearn.ensemble import RandomForestClassifier
+
+ML_MODEL_FILE = "ml_model_v9.pkl"
+
+# --- Fonctions Quant Natives ---
+def get_rsi(series, period=14):
+    delta = series.diff()
+    gain = (delta.where(delta > 0, 0)).rolling(window=period).mean()
+    loss = (-delta.where(delta < 0, 0)).rolling(window=period).mean()
+    rs = gain / loss
+    return 100 - (100 / (1 + rs))
+
+def get_ema(series, span):
+    return series.ewm(span=span, adjust=False).mean()
+
+def get_atr(df, period=14):
+    high_low = df['high'] - df['low']
+    high_close = (df['high'] - df['close'].shift()).abs()
+    low_close = (df['low'] - df['close'].shift()).abs()
+    ranges = pd.concat([high_low, high_close, low_close], axis=1)
+    return ranges.max(axis=1).rolling(period).mean()
+# ... (Garde le reste de tes fonctions train_model, load_model, predict_prob sans changement)
+
 def prepare_ml_features(df):
     """
     Extrait la structure du marché (Market Structure).