Create app.py

app.py

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+import streamlit as st
+import yfinance as yf
+import pandas as pd
+import ta
+import plotly.graph_objects as go
+
+# Function to load stock data using yfinance
+def get_stock_data(symbol, start_date, end_date, interval='1h'):
+    stock_data = yf.download(symbol, start=start_date, end=end_date, interval=interval)
+    return stock_data
+
+# Function to detect Double Top pattern
+def detect_double_top(data, lookback=20):
+    signals = pd.DataFrame(index=data.index)
+    signals['signal'] = 0.0
+
+    # Identify potential double top pattern
+    signals['double_top'] = ta.patterns.double_top(data['High'], data['Low'], data['Close'], lookback=lookback, threshold=0.02)
+
+    # Generate trading orders
+    signals['positions'] = signals['double_top'].diff()
+
+    return signals
+
+# Streamlit App
+def main():
+    st.title("Hourly Stock Price Analysis and Double Top Pattern Detection")
+
+    # Load stock data using Streamlit sidebar
+    symbol = st.sidebar.text_input("Enter Stock Symbol", value='AAPL')
+    start_date = st.sidebar.text_input("Enter Start Date", value='2022-01-01')
+    end_date = st.sidebar.text_input("Enter End Date", value='2022-02-01')
+    stock_prices = get_stock_data(symbol, start_date, end_date, interval='1h')
+
+    # Detect Double Top Pattern
+    signals = detect_double_top(stock_prices)
+
+    # Plotting Historical Stock Prices with Double Top Pattern Signals
+    st.subheader("Hourly Historical Stock Prices with Double Top Pattern Signals")
+    fig = go.Figure()
+
+    fig.add_trace(go.Candlestick(x=stock_prices.index,
+                                 open=stock_prices['Open'],
+                                 high=stock_prices['High'],
+                                 low=stock_prices['Low'],
+                                 close=stock_prices['Close'],
+                                 name='Candlesticks'))
+
+    # Plot Double Top pattern signals
+    fig.add_trace(go.Scatter(x=signals.index[signals['double_top'] == 1],
+                             y=stock_prices['High'][signals['double_top'] == 1],
+                             mode='markers',
+                             marker=dict(color='red', size=10),
+                             name='Double Top Signal'))
+
+    st.plotly_chart(fig)
+
+if __name__ == "__main__":
+    main()