SEN Trading System GUI

A Python-based trading system GUI application built with tkinter, designed for managing trading strategies and monitoring account performance.

Features

• Main Dashboard: Real-time account monitoring with balance, equity, and profit/loss charts
• Strategy Manager: Add, remove, and control trading strategies
• Settings Panel: Configure trading parameters, connection settings, and display options
• Multi-screen Navigation: Easy switching between different application screens

Project Structure

sample-python-gui/
├── main.py                 # Application entry point
├── run.py                  # Alternative launcher
├── config.py               # Configuration settings
├── requirements.txt        # Python dependencies
├── doc/
│   └── gui.png            # Reference GUI design
└── src/
    ├── app.py             # Main application class
    ├── components/        # Reusable UI components
    │   └── widgets.py     # Custom widgets
    ├── screens/           # Application screens
    │   ├── main_screen.py      # Main dashboard
    │   ├── strategy_screen.py  # Strategy management
    │   └── settings_screen.py  # Settings panel
    ├── models/            # Data models
    │   └── trading_data.py     # Trading data structures
    └── utils/             # Utilities
        └── data_manager.py     # Data management

Installation

1. Ensure Python 3.7+ is installed
2. Install dependencies:

   pip install -r requirements.txt

Running the Application

# Option 1: Direct execution
python main.py

# Option 2: Using the run script
python run.py

Navigation

• File Menu: Exit application
• View Menu: Switch between screens
  • Main Dashboard: Account overview and charts
  • Strategy Manager: Manage trading strategies
  • Settings: Configure application settings

Configuration

Edit config.py to customize:

• Application appearance (colors, window size)
• Trading parameters (max trades, max loss)
• Chart update intervals
• Default values

Sample Data

The application includes sample data generators for demonstration:

• Mock account information
• Sample trading strategies
• Generated profit/loss history

Future Enhancements

This is a foundational structure that can be extended with:

• Real MT5/trading platform integration
• Database persistence
• Advanced charting with additional indicators
• Real-time data feeds
• Strategy backtesting capabilities
• Export/import functionality# Default branch update