Create app.py

app.py

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+import streamlit as st
+from datetime import datetime, timedelta
+import pandas as pd
+
+# Import custom modules
+from yfinance_data.fetcher import fetch_stock_data
+from indicators.sma import calculate_21_50_sma
+from indicators.bollinger_bands import calculate_bollinger_bands
+from signals.strategy import generate_signals
+from utils.plotting import plot_stock_data_with_signals
+from utils.calculator import simulate_trading  # Import the trading simulation function
+
+# Streamlit app title
+st.title('StockSwingApp: Stock Trading Signal Generator')
+
+# Sidebar for user inputs
+st.sidebar.header('User Input Parameters')
+default_symbol = 'AAPL'
+symbol = st.sidebar.text_input('Stock Symbol', value=default_symbol, max_chars=5).upper()
+start_date = st.sidebar.date_input('Start Date', value=datetime.now() - timedelta(days=90))
+end_date = st.sidebar.date_input('End Date', value=datetime.now())
+
+# Data fetching and processing
+if st.sidebar.button('Generate Signals'):
+    st.write(f"Fetching data for {symbol} from {start_date} to {end_date}...")
+
+    try:
+        stock_data = fetch_stock_data(symbol, start_date.strftime('%Y-%m-%d'), end_date.strftime('%Y-%m-%d'), interval='1d')
+
+        if not stock_data.empty:
+            # Calculate indicators and signals
+            stock_data = calculate_21_50_sma(stock_data)
+            stock_data = calculate_bollinger_bands(stock_data)
+            signals_data = generate_signals(stock_data)
+
+            # Plotting
+            fig = plot_stock_data_with_signals(signals_data)
+            st.pyplot(fig)
+
+            # Simulate trading based on generated signals and display results
+            final_stock_value, remaining_cash = simulate_trading(signals_data)
+            st.write(f"Final Value of Stock Holdings: ${final_stock_value:.2f}")
+            st.write(f"Remaining Cash: ${remaining_cash:.2f}")
+            total_portfolio_value = final_stock_value + remaining_cash
+            st.write(f"Total Portfolio Value: ${total_portfolio_value:.2f}")
+
+            # Option to display raw data
+            if st.checkbox('Show Raw Data'):
+                st.write(signals_data)
+
+        else:
+            st.error("No data available for the given symbol. Please try another one.")
+
+    except Exception as e:
+        st.error(f"An error occurred: {e}")
+
+else:
+    st.info('Enter parameters and click "Generate Signals" to view analysis.')