Create app.py

app.py

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+import streamlit as st
+from data_fetcher.yfinance_client import fetch_intraday_data
+from indicators.ema import calculate_ema
+from indicators.rsi import calculate_rsi
+from indicators.macd import calculate_macd
+from indicators.bollinger_bands import calculate_bollinger_bands
+from signals.strategy import generate_combined_signals
+from utils.plotting import plot_stock_data_with_signals
+import pandas as pd
+
+# Streamlit app title
+st.title('Stock Intraday Signal App')
+
+# Introduction and instructions
+st.write("""
+## Introduction
+Welcome to the Stock Intraday Signal App! This application analyzes stock data to generate buy/sell signals based on technical indicators such as EMA, RSI, MACD, and Bollinger Bands. It's designed to help day traders make informed decisions.
+
+## How to Use
+1. Enter a stock symbol in the sidebar.
+2. Choose the date range for the analysis.
+3. Click on "Analyze" to view the stock data, indicators, and signals.
+""")
+
+# Sidebar inputs
+st.sidebar.header('User Input Parameters')
+stock_symbol = st.sidebar.text_input('Stock Symbol', value='AAPL', max_chars=5)
+start_date = st.sidebar.date_input('Start Date')
+end_date = st.sidebar.date_input('End Date')
+analyze_button = st.sidebar.button('Analyze')
+
+# Main functionality
+if analyze_button:
+    # Fetch stock data
+    st.write(f"Fetching data for {stock_symbol} from {start_date} to {end_date}...")
+    data = fetch_intraday_data(stock_symbol, start_date.isoformat(), end_date.isoformat())
+    
+    if data.empty:
+        st.error("No data found for the given parameters. Please try different dates or stock symbols.")
+    else:
+        # Calculate indicators
+        st.write("Calculating indicators...")
+        ema_periods = [20, 50]  # Example periods for EMA
+        data = calculate_ema(data, ema_periods)
+        data = calculate_rsi(data)
+        data = calculate_macd(data)
+        data = calculate_bollinger_bands(data)
+        
+        # Generate signals
+        st.write("Generating signals...")
+        data = generate_combined_signals(data)
+        
+        # Plot results
+        st.write("Visualizing data, indicators, and signals...")
+        plot_stock_data_with_signals(data)