Update app.py

app.py

@@ -350,25 +350,25 @@ def generate_trading_signals(df):
     
     # Ultra-strict RSI Signal - Extreme thresholds
     df['RSI_Signal'] = np.where(df['RSI'] < 15, 1, 0)
-    df['RSI_Signal'] = np.where(df['RSI'] > 85, -1, df['RSI_Signal'])
+    df['RSI_Signal'] = np.where(df['RSI'] > 90, -1, df['RSI_Signal'])
     
     # Ultra-strict Bollinger Bands Signal - Require extreme deviations
     df['BB_Signal'] = np.where(df['Close'] < df['LowerBB'] * 0.97, 1, 0)
     df['BB_Signal'] = np.where(df['Close'] > df['UpperBB'] * 1.03, -1, df['BB_Signal'])
     
     # Ultra-strict Stochastic Signal - Extreme overbought/oversold conditions
-    df['Stochastic_Signal'] = np.where((df['SlowK'] < 5) & (df['SlowD'] < 5), 1, 0)
+    df['Stochastic_Signal'] = np.where((df['SlowK'] < 10) & (df['SlowD'] < 10), 1, 0)
     df['Stochastic_Signal'] = np.where((df['SlowK'] > 95) & (df['SlowD'] > 95), -1, df['Stochastic_Signal'])
     
     # Ultra-strict CMF Signal - Require stronger money flow confirmation
-    df['CMF_Signal'] = np.where(df['CMF'] > 0.5, -1, np.where(df['CMF'] < -0.5, 1, 0))
+    df['CMF_Signal'] = np.where(df['CMF'] > 0.4, -1, np.where(df['CMF'] < -0.4, 1, 0))
     
     # Ultra-strict CCI Signal - Require extreme deviations
-    df['CCI_Signal'] = np.where(df['CCI'] < -250, 1, 0)
-    df['CCI_Signal'] = np.where(df['CCI'] > 250, -1, df['CCI_Signal'])
+    df['CCI_Signal'] = np.where(df['CCI'] < -200, 1, 0)
+    df['CCI_Signal'] = np.where(df['CCI'] > 200, -1, df['CCI_Signal'])
     
     # Combined signal for ultra-strict confirmations
-    df['Combined_Signal'] = df[['RSI_Signal', 'BB_Signal', 
+    df['Combined_Signal'] = df[['MACD_Signal','RSI_Signal', 'BB_Signal', 
                                 'Stochastic_Signal', 'CMF_Signal', 'CCI_Signal']].sum(axis=1)
     
     return df
@@ -464,17 +464,18 @@ def plot_individual_signals(df, ticker):
 
     
     signal_colors = {
-    'RSI_Signal': {'buy': 'violet', 'sell': 'lightpink'},  # Light purple / Pale butter
-    'BB_Signal': {'buy': 'violet', 'sell': 'lightpink'},    # Purple / Chiffon yellow
-    'Stochastic_Signal': {'buy': 'violet', 'sell': 'lightpink'},  # Purple / Corn silk
-    'CMF_Signal': {'buy': 'violet', 'sell': 'lightpink'},  # Deep purple / Lemon chiffon
-    'CCI_Signal': {'buy': 'violet', 'sell': 'lightpink'}   # Dark purple / Soft maize
+    'MACD_Signal': {'buy': 'purple', 'sell': 'lightpink'},  # Light purple / Pale butter
+    'RSI_Signal': {'buy': 'purple', 'sell': 'lightpink'},  # Light purple / Pale butter
+    'BB_Signal': {'buy': 'purple', 'sell': 'lightpink'},    # Purple / Chiffon yellow
+    'Stochastic_Signal': {'buy': 'purple', 'sell': 'lightpink'},  # Purple / Corn silk
+    'CMF_Signal': {'buy': 'purple', 'sell': 'lightpink'},  # Deep purple / Lemon chiffon
+    'CCI_Signal': {'buy': 'purple', 'sell': 'lightpink'}   # Dark purple / Soft maize
 }
 
     
 
     # Add buy/sell signals for each indicator
-    signal_names = ['RSI_Signal', 'BB_Signal', 
+    signal_names = ['MACD_Signal', 'RSI_Signal', 'BB_Signal', 
                     'Stochastic_Signal', 'CMF_Signal', 
                     'CCI_Signal']