Stock Market Dashboard

A Streamlit-based stock market dashboard application that provides real-time market data, sector analysis, and trading strategy backtesting.

Features

• Real-time Market Data: Live price data for major indices and stocks
• Sector Analysis: Performance analysis of sector ETFs
• Trading Strategies: Backtesting framework for trading strategies
• Interactive Charts: Candlestick charts and technical indicators
• Data Download: Robust data fetching from Yahoo Finance

Project Structure

stock_market_dashboard/
├── stock_market_dashboard.py    # Main Streamlit application
├── requirements.txt             # Python dependencies
├── .gitignore                   # Git ignore rules
├── datafeed/                    # Data fetching modules
│   ├── downloader.py           # Yahoo Finance data downloader
│   └── etoro.py                # eToro data integration
├── analyzer/                    # Data analysis modules
└── strategy/                    # Trading strategy modules

Setup

1. Clone the repository:

   git clone <repository-url>
   cd stock_market_dashboard

2. Use the backtrader conda environment (recommended):

   conda activate backtrader

   Note: This project is configured to work with the backtrader conda environment which has all the correct dependencies and SSL libraries installed.

3. Alternative: Create a new conda environment:

   conda create -n stock_dashboard python=3.9
   conda activate stock_dashboard
   pip install -r requirements.txt

Usage

Run the Dashboard

streamlit run stock_market_dashboard.py

The dashboard will open in your browser at http://localhost:8501

Data Downloader

The project includes a robust data downloader that fetches data from Yahoo Finance:

from datafeed.downloader import BatchPriceDownloader
from datetime import datetime, timedelta

# Download data for multiple tickers
end_date = datetime.now()
start_date = end_date - timedelta(days=30)
tickers = ['AAPL', 'MSFT', 'GOOGL']

downloader = BatchPriceDownloader(tickers, start_date, end_date, '1d')
data = downloader.get_yahoo_prices()

Key Components

Data Downloader (datafeed/downloader.py)

• InfoDownloader: Fetches company information
• BatchPriceDownloader: Downloads historical price data for multiple tickers
• Supports various intervals (1m, 5m, 15m, 30m, 1h, 1d, 1wk, 1mo, 3mo)
• Handles rate limiting and error recovery

Main Application (stock_market_dashboard.py)

• Streamlit web interface
• Overview section with major indices
• Sector analysis with ETF performance
• Interactive charts using Plotly and Cufflinks
• Trading strategy integration

Dependencies

Key packages:

• streamlit: Web application framework
• yfinance: Yahoo Finance data fetching
• pandas: Data manipulation
• plotly: Interactive charts
• cufflinks: Financial charting
• backtrader: Trading strategy backtesting

Troubleshooting

Common Issues

1. SSL DLL Error: Make sure you're using the correct virtual environment
2. Rate Limiting: Yahoo Finance may limit requests; the downloader includes retry logic
3. Cufflinks Error: This may occur when importing the app directly; run with streamlit run

Environment Issues

If you encounter environment-related errors:

1. Ensure you're using the correct Python environment
2. Reinstall dependencies: pip install -r requirements.txt
3. Check that all packages are compatible

Development

The project is structured for easy development and testing:

• Core data fetching is isolated in datafeed/
• Main application logic is in stock_market_dashboard.py

License

This project is for educational and personal use. Please respect Yahoo Finance's terms of service when using their data.