TradeDash

A professional trading application built with Python and PyQt5, featuring real-time stock data visualization, market analysis, and stock recommendations.

Requirements

• Anaconda or Miniconda installed on your system
• Windows operating system

Installation & Running

One-Click Setup and Launch

1. Clone or download this repository
2. Simply double-click the run_app.bat file:
   • It will check if Conda is installed
   • Create a "tradedash" conda environment if it doesn't exist
   • Install all required dependencies automatically
   • Launch the application

Desktop Shortcut (Optional)

1. Run create_desktop_shortcut.bat to create a desktop shortcut
2. Double-click the Desktop shortcut "TradeDash" to launch the application

Troubleshooting

If you encounter issues:

1. Make sure Anaconda or Miniconda is properly installed
2. Check if the PATH environment variable includes the Conda installation
3. If you get missing package errors, try running install_packages.bat separately
4. Review any error messages displayed in the console window

Features

• Real-time Stock Data: Access live and historical stock data from Yahoo Finance
• Professional Charting: Interactive charts with zoom, scroll, and technical indicators
• Market Scanner: Find top stocks based on performance, volatility, and trends
• Similar Stocks Finder: Discover stocks with similar price movements and characteristics
• Stock Recommendations: Get personalized stock recommendations based on technical analysis
• Strategy Backtesting: Test trading strategies with historical data
• PnL Simulation: Simulate potential profits and losses for different scenarios
• Clean, Modern UI: Dark theme interface with intuitive navigation

Key Components

Market Scanner

• Scan for top 5 stocks turning bullish, bearish, or to hold
• Identify volatile stocks for trading opportunities
• Filter by market (NSE, NYSE, or both) and price range
• Customizable lookback periods for analysis

Similar Stocks Finder

• Find 5 similar stocks based on price movement correlation
• Match by sector or company characteristics
• Star rating system (0-5) for quick evaluation
• Detailed similarity metrics and correlation coefficients

Project Structure

tradedash/
├── config/         # Configuration files and settings
├── core/           # Core functionality and data services
├── ui/             # User interface components
│   └── widgets/    # UI widgets and tabs
├── main.py         # Application entry point
└── __init__.py     # Package initialization

License

MIT License