A Streamlit-based web application for analyzing technical indicators of U.S. stocks, including S&P 500 components or user-specified tickers. The dashboard fetches hourly stock data, calculates indicators like MFI (Money Flow Index), OBV (On-Balance Volume), and moving averages, detects candlestick patterns, and visualizes results with interactive charts. 🚀

• S&P 500 Analysis: Analyze all ~500 S&P 500 stocks or input custom tickers. 📊
• Technical Indicators:
  • Money Flow Index (MFI) with oversold/overbought signals and slope analysis. 📉
  • On-Balance Volume (OBV) for trend confirmation. 📈
  • 20-hour and 50-hour Moving Averages (MA) for support/resistance. 📅
• Candlestick Patterns: Detects Hammer, Bullish Engulfing, Morning Star, Shooting Star, Bearish Engulfing, and Evening Star. 🕯️
• Interactive Charts: Plotly-powered candlestick charts with auto-scaling Y-axis and multi-panel views for buy/sell signals, MFI, and volume. 📊
• Volume Surge Detection: Flags stocks with significant volume increases. ⚡
• Flexible Parameters: Customize MFI periods, slope thresholds, volume multipliers, and more via Streamlit sliders. 🎚️
• Robust Data Fetching: Uses multiple APIs (Polygon, TwelveData, FMP, Alpha Vantage) with fallback for reliability. 🌐
• User-Friendly Interface: Streamlit UI with progress bars, error handling, and interactive instructions. 😊

• Python 3.8 or higher 🐍
• A virtual environment (recommended) 🖥️
• API keys for at least one of the following data providers:
  • Polygon 🔑
  • TwelveData 🔑
  • Financial Modeling Prep (FMP) 🔑
  • Alpha Vantage 🔑
  • EODHD 🔑
  • Marketstack 🔑
• A .env file with API keys (see Setup below).

1. Clone the Repository:

   git clone https://github.com/yourusername/us-stock-analysis.git
   cd us-stock-analysis