Create app.py

app.py

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+# app.py
+
+import streamlit as st
+import pandas as pd
+from datetime import datetime, timedelta
+
+# Import your modules here
+from yfinance_data.fetcher import fetch_data_for_indicators
+from indicators.sma import add_sma_columns
+from indicators.bollinger_bands import calculate_bollinger_bands
+from signals.strategy import generate_buy_signals, generate_sell_signals
+from utils.plotting import plot_stock_data
+
+# Initialize the app with Streamlit
+st.title('StockSwingApp: Stock Signal Generator')
+
+# User input for the stock symbol
+symbol = st.text_input('Enter the stock symbol:', value='AAPL')
+
+# Fetch the stock data
+data_4h, data_1h = fetch_data_for_indicators(symbol, days=90)  # Fetching more days to ensure we have enough data
+
+# Calculate indicators
+add_sma_columns(data_4h)
+add_sma_columns(data_1h)
+calculate_bollinger_bands(data_4h)
+
+# Generate signals
+buy_signals = generate_buy_signals(data_4h, data_1h)
+sell_signals = generate_sell_signals(data_4h)
+
+# Plotting
+st.write(f"Displaying indicators and signals for: {symbol}")
+plot_stock_data(data_4h, buy_signals=buy_signals, sell_signals=sell_signals, title=f"{symbol} Stock Analysis")
+
+# Instructions for running the app
+st.markdown("""
+To run this app, ensure you have Streamlit and all required packages installed. Then, navigate to the directory containing this script and run: """)