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Bybit Trades Data Saver Redis

Python script - Bybit Trades Data Saver using Redis in-memory key value database

Script will take the Trades data from Bybit API (websockets), save it to Redis in JSON format.

Latest release

Install

Install Docker and Redis:

sudo apt install docker.io

pip install redis

docker run -d --name redis-stack -p 6379:6379 -p 8001:8001 redis/redis-stack:latest

pip install pybit==2.4.1

To run the script type:

python3 savedata_redis.py

To open Redis database go to:

http://localhost:8001


📄 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.

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 | 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


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Python script - Bybit Trades Data Saver using Redis in-memory key value database

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