About FinLab
FinLab was founded by Han Cheng-Yu. Since 2018, FinLab has provided quantitative research platforms, market databases, a Python SDK, backtesting engines, and AI research tools.
We believe every investor should be able to test stock-picking ideas with data. FinLab AI and FinLab Studio let users describe strategy ideas in natural language, then inspect backtest results, performance reports, and risk analysis.
Founder
A note from our founder
I started FinLab because I believe the ability to invest with data shouldn’t belong to only a few.
When I first met quantitative trading, I was shut out by walls of formulas and code too. But the first time I used a program I wrote myself to test a stock-picking idea — and watched the backtest curve appear — I understood that investing doesn’t have to be guessing or chasing tips. It can be a decision you verify, understand, and trust.
Over the years I turned everything I learned into the finlab package, my courses, and now FinLab. With AI, you don’t even need to code first — just describe your idea, and you can test it, backtest it, and see the results.
Investing was never about getting rich overnight. It’s about building a better life, step by step, on a foundation you can stand on. If you’re willing to begin, I’d be glad to walk this road with you.
— Cheng-Yu Han · Founder of FinLab
Focus Areas
- Quant strategy research and development for U.S. and Taiwan markets
- Python financial engineering and data science
- AI-driven strategy backtesting and optimization
- 900+ indicator database covering U.S. and Taiwan markets
Contact Us
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