Create app.py

app.py

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+import streamlit as st
+import yfinance as yf
+import pandas as pd
+import plotly.graph_objects as go
+from datetime import datetime
+
+def vsa_advanced_analysis(data):
+    signals = []
+    for i in range(3, len(data)):
+        if data['Close'][i] > data['Close'][i-1] and data['Volume'][i] > data['Volume'][i-1] and data['Close'][i-1] > data['Close'][i-2]:
+            signals.append((data.index[i], 'Buy', data['Close'][i]))
+        elif data['Close'][i] < data['Close'][i-1] and data['Volume'][i] > data['Volume'][i-1] and data['Close'][i-1] < data['Close'][i-2]:
+            signals.append((data.index[i], 'Sell', data['Close'][i]))
+        # Example of adding more advanced patterns
+        if data['Volume'][i] > data['Volume'][i-1] * 1.5 and data['Close'][i] < data['Open'][i]:
+            signals.append((data.index[i], 'Selling Climax', data['Close'][i]))
+    return signals
+
+def plot_signals_advanced(data, signals):
+    fig = go.Figure()
+    fig.add_trace(go.Candlestick(x=data.index,
+                                 open=data['Open'],
+                                 high=data['High'],
+                                 low=data['Low'],
+                                 close=data['Close'],
+                                 name='Candlestick'))
+    for signal in signals:
+        if signal[1] == 'Buy':
+            fig.add_trace(go.Scatter(x=[signal[0]], y=[signal[2]], mode='markers', marker=dict(color='green', size=10), name='Buy Signal'))
+        elif signal[1] == 'Sell':
+            fig.add_trace(go.Scatter(x=[signal[0]], y=[signal[2]], mode='markers', marker=dict(color='red', size=10), name='Sell Signal'))
+        elif signal[1] == 'Selling Climax':
+            fig.add_trace(go.Scatter(x=[signal[0]], y=[signal[2]], mode='markers', marker=dict(color='orange', size=10), name='Selling Climax'))
+    fig.update_layout(title='Stock Price with Buy and Sell Signals', xaxis_title='Date', yaxis_title='Price')
+    st.plotly_chart(fig)
+
+def main():
+    st.title('Advanced VSA Stock Analyzer')
+    st.write('Input a stock ticker symbol to analyze and generate buy and sell signals using advanced Volume Spread Analysis (VSA).')
+    
+    ticker = st.text_input('Stock Ticker Symbol', 'AAPL')
+    start_date = st.date_input('Start Date', datetime(2020, 1, 1))
+    end_date = st.date_input('End Date', datetime.now())
+    
+    if st.button('Analyze'):
+        data = yf.download(ticker, start=start_date, end=end_date)
+        if data.empty:
+            st.write('No data found for the selected stock ticker and date range.')
+        else:
+            signals = vsa_advanced_analysis(data)
+            st.write(f'Found {len(signals)} signals.')
+            if signals:
+                plot_signals_advanced(data, signals)
+                signals_df = pd.DataFrame(signals, columns=['Date', 'Signal', 'Price'])
+                st.write('Buy and Sell Signals:')
+                st.dataframe(signals_df)
+            else:
+                st.write('No buy or sell signals found for the selected stock ticker and date range.')
+
+if __name__ == '__main__':
+    main()