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fooltrader
Big-data quantitative analysis and trading system in Python
What it is
A big-data quantitative analysis and trading framework that covers data crawling, cleaning, structuring, backtesting, and trading in a unified pipeline spanning stocks, futures, bonds, forex, and digital currencies. It provides free data sources behind a single unified API, financial statement cross-checking, technical indicators, and an event-driven backtesting setup with Elasticsearch and Kibana integration. Quantitative traders, finance students, and programmers who want to plug in their own tools will find its layered, connector-based architecture flexible. The project is no longer actively developed—the author directs users to a successor—and the backtesting framework itself is acknowledged as very early-stage.
At a glance
Not recommendedOur rating, based on popularity, maintenance and how ready it is for real use.
| Best for | Professional quants |
|---|---|
| Used for | Backtesting, Data analysis |
| Markets | China A-shares, Multi-market |
| Stack | Python |
| Learning curve | Steep learning curve |
| Practical value | Low practical value |
| Cost | Free and open source |
| Hardware | No GPU needed |
| Maintenance | No commits in over six months |
GitHub stars, last 30 days
Daily snapshots since 2026-09-12 (up to 30 days): 0 over the period, now 1,198. Gaps mean no snapshot was taken that day.
Archived big-data quantitative-analysis and trading system retained as an early unified market-data and backtesting framework.
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