Update app.py

app.py

@@ -20,16 +20,17 @@ def identify_signals(data):
 def collect_signals(data):
     signals = pd.DataFrame()
     signals['Date'] = data.index
-    signals['Price'] = data['Close']
-    signals['Signal'] = None  # Initialize all to None
+    signals['Price'] = data['Close']  # This will now display the price at which the signal was triggered
 
+    # Initialize all signals to None and update based on the data's indices
+    signals['Signal'] = None
     buy_indices = data[data['Buy Signal']].index
     sell_indices = data[data['Sell Signal']].index
 
     signals.loc[signals['Date'].isin(buy_indices), 'Signal'] = 'Buy'
     signals.loc[signals['Date'].isin(sell_indices), 'Signal'] = 'Sell'
 
-    signals = signals.dropna(subset=['Signal'])
+    signals = signals.dropna(subset=['Signal'])  # Ensure that only rows with signals are kept
 
     return signals
 
@@ -58,7 +59,6 @@ def main():
     5. **Review the Outputs:** The chart and the signals table provide visual and data-driven insights respectively.
     """)
 
-    # Sidebar for user inputs
     with st.sidebar:
         ticker = st.text_input("Enter the ticker symbol, e.g., 'AAPL'")
         start_date = st.date_input("Select the start date")