Update app.py

app.py

@@ -19,11 +19,6 @@ def calculate_indicators(data):
     # Example: Simple condition for doji and inside
     data['Doji'] = abs(data['Close'] - data['open']) <= 0.01 * (data['high'] - data['low'])
     data['Inside'] = (data['high'] < data['high'].shift(1)) & (data['low'] > data['low'].shift(1))
-
-    # Calculate Moving Averages
-    data['MA5'] = data['Close'].rolling(window=5).mean()
-    data['MA20'] = data['Close'].rolling(window=20).mean()
-
     return data
 
 def main():
@@ -51,7 +46,7 @@ def main():
     my_market_predictor = Pandas_Market_Predictor(df)
 
     # Predict Trend
-    indicators = ["Doji", "Inside", "MA5", "MA20"]
+    indicators = ["Doji", "Inside"]
     trend = my_market_predictor.Trend_Detection(indicators, 10)
 
     # Display results
@@ -60,6 +55,12 @@ def main():
     st.write("Sell Trend :", trend['SELL'])
     st.write(f"Standard Deviation Percentage: {my_market_predictor.PERCENT_STD}%")
 
+    # Calculate and print Support and Resistance Levels
+    levels = my_market_predictor.Support_Resistance_Estimation_Tool(indicators)
+    st.subheader("Support and Resistance Levels:")
+    st.write("Support Level:", levels['Support'])
+    st.write("Resistance Level:", levels['Resistance'])
+
     # Delete the DataFrame to release memory
     del df