CrossX Trading Dashboard

A cryptocurrency trading dashboard with multi-exchange support, featuring paper trading, backtesting, and arbitrage scanning capabilities.

Features

• Real-time market data visualization with technical indicators
• Paper trading simulation with $10,000 virtual balance
• Strategy backtesting with performance metrics
• Cross-exchange arbitrage opportunity scanner
• Support for multiple exchanges (Binance, KuCoin)
• Implementation of the Moth Scalping strategy

Setup

1. Create and activate a conda environment:

conda create -n crossx python=3.10
conda activate crossx

2. Install the required dependencies:

pip install -r requirements.txt

3. Configure your API keys:
   • Copy .env.example to .env in the config directory
   • Fill in your exchange API keys and other settings

Usage

To start the dashboard:

python main.py

This will launch the Streamlit dashboard in your default web browser.

Dashboard Sections

1. Market Overview

   • Real-time price charts with technical indicators
   • Market statistics and volume data
   • Multiple timeframe support

2. Strategy Backtest

   • Test the Moth Scalping strategy on historical data
   • Adjustable risk parameters and initial balance
   • Detailed performance metrics and trade history

3. Paper Trading

   • Practice trading with virtual $10,000 balance
   • Real-time position tracking and P&L monitoring
   • Risk management features

4. Arbitrage Scanner

   • Monitor price differences between exchanges
   • Customizable minimum spread thresholds
   • Historical spread analysis

Testing

Run the unit tests:

python -m unittest discover tests

Directory Structure

crossx/
├── config/             # Configuration files and environment variables
├── core/              # Core trading logic and data handling
│   ├── data.py       # Exchange data collection
│   ├── trading.py    # Paper trading implementation
│   ├── strategy.py   # Trading strategy implementation
│   └── arbitrage.py  # Arbitrage detection
├── ui/               # User interface components
│   └── dashboard.py  # Streamlit dashboard
├── utils/            # Utility functions
├── tests/            # Unit tests
└── notebooks/        # Analysis notebooks

License

This project is licensed under the MIT License - see the LICENSE file for details.