diff --git a/Zeus_8_3_2_B_4_2.py b/Zeus_8_3_2_B_4_2.py
index 5df4df0..4c94c51 100644
--- a/Zeus_8_3_2_B_4_2.py
+++ b/Zeus_8_3_2_B_4_2.py
@@ -491,7 +491,7 @@ class Zeus_8_3_2_B_4_2(IStrategy):
         # normalized_close = self.min_max_scaling(dataframe['close'])
         ################### INFORMATIVE 1h
         informative = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe="1h")
-        informative = self.calculateTendency(informative)
+        informative = self.calculateTendency(informative, 3)
         informative['volatility'] = talib.STDDEV(informative['close'], timeperiod=14) / informative['close']
         informative['atr'] = (talib.ATR(informative['high'], informative['low'], informative['close'], timeperiod=14)) / informative['close']
         informative['rsi'] = talib.RSI(informative['close'], length=7)
@@ -504,7 +504,7 @@ class Zeus_8_3_2_B_4_2(IStrategy):
 
         ################### INFORMATIVE 1d
         informative = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe="1d")
-        informative = self.calculateTendency(informative)
+        informative = self.calculateTendency(informative, 3)
 
         informative['rsi'] = talib.RSI(informative['close'], length=7)
         informative['rsi_diff'] = informative['rsi'].diff()
@@ -645,10 +645,10 @@ class Zeus_8_3_2_B_4_2(IStrategy):
 
         return dataframe
 
-    def calculateTendency(self, dataframe):
+    def calculateTendency(self, dataframe, window=12):
         dataframe['mid'] = dataframe['open'] + (dataframe['close'] - dataframe['open']) / 2
         # 2. Calcul du lissage sur 200 bougies par moyenne mobile médiane
-        dataframe['mid_smooth'] = dataframe['mid'].rolling(window=12, center=True, min_periods=1).median().rolling(
+        dataframe['mid_smooth'] = dataframe['mid'].rolling(window=window, center=True, min_periods=1).median().rolling(
             3).mean()
         # 2. Dérivée première = différence entre deux bougies successives
         dataframe['mid_smooth_deriv1'] = dataframe['mid_smooth'].diff()