Max size set equal to 1x leverage, but you can change it in the code. Also bot will go only shorts. You can add long support (just copy-paste the trading logic the way you want).
You need bybit and binance accounts and APIs.
Install libraries:
pip install ta
pip install ccxt==2.0.90
pip install pandas
pip install pybit==2.4.1
pip install python-binance
pip install colorama
MIT License - Feel free to modify and distribute.
Contributions, issues, and feature requests are welcome! Feel free to check issues page.
This project is for informational and educational purposes only. You should not use this information or any other material as legal, tax, investment, financial, or other advice. Nothing contained here is a recommendation, endorsement, or offer by me to buy or sell any securities or other financial instruments.
If you intend to use real money, use it at your own risk.
Under no circumstances will I be responsible or liable for any claims, damages, losses, expenses, costs, or liabilities of any kind, including but not limited to direct or indirect damages for loss of profits.
Quantitative researcher and trading systems engineer with end-to-end ownership of systematic strategies — from research and statistical validation to low-latency execution and production deployment.
Core focus areas:
- Systematic strategy design and validation
- Market microstructure analysis (order book dynamics, liquidations, volume, delta, liquidity, spread behavior, funding)
- Backtesting framework development (tick-level and historical data)
- Execution engine architecture and order lifecycle management
- Real-time market data processing
- Risk-aware system design
- Production-grade trading infrastructure (24/7 environments)
Experience across crypto (CEX, DEX), FX, and exchange-traded markets.
- Languages: Python, C++, MQL5
- Execution & Connectivity: REST, WebSocket, FIX
- Infrastructure: Linux, Docker, Redis, PostgreSQL, ClickHouse
- Analytics: NumPy, Pandas, custom backtesting frameworks
Email: [email protected]