Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import yfinance as yf
+import matplotlib.pyplot as plt
+from datetime import datetime
+from patterns import Doji, DragonflyDoji, Engulfing, GravestoneDoji, Hammer, HangingMan, Harami, InvertedHammer, LongleggedDoji, ShootingStar, ThreeWhiteSoldiers, ThreeBlackCrows
+
+def fetch_live_data(ticker, interval='1m', period='1d'):
+    # Fetch live data using yfinance
+    df = yf.download(ticker, interval=interval, period=period)
+
+    # Convert DatetimeIndex to a column
+    df.reset_index(inplace=True)
+
+    return df
+
+def detect_candlestick_patterns(df):
+    # Instantiate candlestick pattern detectors
+    doji = Doji(df)
+    dragonfly_doji = DragonflyDoji(df)
+    engulfing = Engulfing(df)
+    gravestone_doji = GravestoneDoji(df)
+    hammer = Hammer(df)
+    hanging_man = HangingMan(df)
+    harami = Harami(df)
+    inverted_hammer = InvertedHammer(df)
+    long_legged_doji = LongleggedDoji(df)
+    shooting_star = ShootingStar(df)
+    three_white_soldiers = ThreeWhiteSoldiers(df)
+    three_black_crows = ThreeBlackCrows(df)
+
+    # Compute pattern detections
+    df = doji.compute_pattern()
+    df = dragonfly_doji.compute_pattern()
+    df = engulfing.compute_pattern()
+    df = gravestone_doji.compute_pattern()
+    df = hammer.compute_pattern()
+    df = hanging_man.compute_pattern()
+    df = harami.compute_pattern()
+    df = inverted_hammer.compute_pattern()
+    df = long_legged_doji.compute_pattern()
+    df = shooting_star.compute_pattern()
+    df = three_white_soldiers.compute_pattern()
+    df = three_black_crows.compute_pattern()
+
+    return df
+
+def plot_candlestick(df):
+    fig, ax = plt.subplots(figsize=(10, 6))
+    ax.plot(df['Datetime'], df['Close'], label='Close Price', color='black')
+    ax.set_title('Live Stock Price with Candlestick Patterns')
+    ax.set_xlabel('Datetime')
+    ax.set_ylabel('Close Price')
+
+    # Plot candlestick patterns
+    for pattern, color in zip(['Doji', 'Dragonfly Doji', 'Engulfing', 'Gravestone Doji', 'Hammer', 'Hanging Man', 'Harami', 'Inverted Hammer', 'Long-Legged Doji', 'Shooting Star', 'Three White Soldiers', 'Three Black Crows'],
+                              ['blue', 'green', 'red', 'purple', 'orange', 'brown', 'pink', 'cyan', 'magenta', 'yellow', 'lime', 'darkgrey']):
+        for i, row in df.iterrows():
+            if row[pattern] == 1:
+                ax.annotate(pattern, xy=(row['Datetime'], row['Close']), xytext=(5, 5), textcoords='offset points',
+                            arrowprops=dict(facecolor=color, arrowstyle='wedge,tail_width=0.7', lw=0.7))
+
+    st.pyplot(fig)
+
+def main():
+    st.title('Live Candlestick Pattern Detection App')
+    ticker = st.text_input('Enter Stock Ticker:', 'AAPL')
+
+    if st.button('Detect Candlestick Patterns'):
+        # Fetch live data continuously
+        while True:
+            # Fetch live data
+            live_data = fetch_live_data(ticker)
+
+            # Detect candlestick patterns
+            live_data = detect_candlestick_patterns(live_data)
+
+            # Display candlestick patterns using Matplotlib and Streamlit
+            plot_candlestick(live_data)
+
+            # Display raw data
+            st.write(live_data)
+
+if __name__ == "__main__":
+    main()