Update app.py

app.py

@@ -17,8 +17,8 @@ def calculate_indicators(data):
     data = data.apply(pd.to_numeric, errors='coerce')
 
     # 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))
+    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))
     return data
 
 def main():
@@ -37,7 +37,7 @@ def main():
     df = df.dropna(axis=0)
 
     # Rename columns
-    df = df.rename(columns={'1. open': 'Open', '2. high': 'High', '3. low': 'Low', '4. close': 'Close', '5. volume': 'volume'})
+    df = df.rename(columns={'1. open': 'open', '2. high': 'high', '3. low': 'low', '4. close': 'Close', '5. volume': 'volume'})
 
     # Calculate indicators
     df = calculate_indicators(df)
@@ -54,8 +54,9 @@ def main():
     st.write("Buy Trend :", trend['BUY'])
     st.write("Sell Trend :", trend['SELL'])
 
-    # Calculate and display Support and Resistance Levels
-    levels = my_market_predictor.Support_Resistance_Estimation_Tool(indicators)
+    # Calculate and display Support and Resistance Levels for the latest data point
+    latest_data_point = df.iloc[-1]
+    levels = my_market_predictor.Support_Resistance_Estimation_Tool(indicators, latest_data_point)
     st.subheader("Support and Resistance Levels:")
     st.write("Support Level:", levels.get('Support', 'Not Available'))
     st.write("Resistance Level:", levels.get('Resistance', 'Not Available'))