Crypto Data Management System
Multi-Exchange OHLC Data Pipeline
The Crypto Data Management System is a production-quality desktop application built with Python and PySide6 (Qt) for systematic OHLC market data acquisition. Designed specifically for quantitative researchers and systematic traders who need reliable, clean historical data as the foundation for backtesting and live strategy deployment, the application abstracts exchange-specific API quirks behind a unified data collection interface.
The multi-exchange failover system prioritizes data sources intelligently — if Bybit's API is rate-limited or experiencing downtime, the application automatically falls back to Binance, then Kraken, maintaining continuous data collection without operator intervention. Eight timeframes (1-minute through 1-week OHLC bars) can be collected simultaneously for the same instruments, supporting everything from high-frequency microstructure research to longer-term trend analysis.
Data storage supports three formats — SQLite for query-optimized local databases, CSV for maximum portability, and Excel with compression options for distribution to non-technical stakeholders. The 85%+ test coverage across 5,000+ lines of Python reflects a software engineering discipline that prioritizes correctness: for financial data pipelines, a silent data error is worse than a loud system failure. This project demonstrates that clean financial data infrastructure requires the same engineering rigor as trading systems themselves.
Key Highlights
- Multi-exchange integration with automatic failover prioritization
- 8 timeframes: 1-minute to 1-week OHLC bars
- SQLite, CSV, and Excel storage with compression options
- 85%+ test coverage — 5,000+ lines of Python