Bybit BTCUSD Inverse Perpetual Scalp Trading Bot

Trading bot for Bybit exchange to trade BTCUSD perpetual contract. It use Redis database to cache the trades data.

That bot will only open shorts, because there are no liquidation price for 1x short on inverse contract and because in most cases funding rates for shorts are positive. If you want to make the bot trade longs you can just copy-paste the logic.

Bot logic: bot collects trades from Bybit websocket and calculates high, low and average values for the last 6 minutes. It opens the trade always at higher price and adds more if average price higher the entry.

Requirements

Install libraries: Run python3 -m venv .bot && source .bot/bin/activate to create virtual env and activate it. pip install pybit==2.4.1

pip install redis

How to run

• Rename config-sample.py to config.py, open it and add your API key credentials. Save it.
• Run

docker-compose up -d to download and run Redis server for you. Don't forget to limit access to port 8001 on your server. If you don't have docker-compose just run docker run -d --name redis-stack -p 6379:6379 -p 8001:8001 redis/redis-stack:latest to run Redis.

• Run

python3 wstradesinverse_redis.py to run the script that will collect the data using Bybit websockets and save it to the Redis database.

• Run

python3 inversebotv5.0.py

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📄 License

MIT License - Feel free to modify and distribute.

🤝 Contributing

Contributions, issues, and feature requests are welcome! Feel free to check issues page.

⚠️ Disclaimer

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.

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If you intend to use real money, use it at your own risk.

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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.

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📌 Quantitative Researcher | Algorithmic Trader | Trading Systems Architect

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.

Technical Stack

• Languages: Python, C++, MQL5
• Execution & Connectivity: REST, WebSocket, FIX
• Infrastructure: Linux, Docker, Redis, PostgreSQL, ClickHouse
• Analytics: NumPy, Pandas, custom backtesting frameworks

Contact

• Email: ryu8777@gmail.com
• Telegram: @ryu8777

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