90ScoreMicrosoft Research's quant platform: data pipeline, factor library and model training in one place.
★ 50k stars · Advanced · updated 2026-10
Quant and ML
Factor mining, reinforcement learning and ML pipelines for people who want to build models, not buy them.
In plain English
These repos use machine learning, software that finds patterns in data, to predict prices or learn trading rules by trial and error.
This is the deep end.
Microsoft's
Qlib,
FinRL and Stefan Jansen's
Machine Learning for Trading are where quants learn to build models instead of buying signals. The ideas are real. So is the learning curve.
Reinforcement learning, one of the big themes here, trains a program the way you train a dog: reward good moves, punish bad ones, repeat a few million times. It is fascinating. Markets also change their behavior, so a model that learned last year can forget how to win this year.
If you are new, read before you run. These repos are textbooks with code attached. The payoff is understanding why most AI stock picks fail, which will save you more money than any single model makes.
Who this lane is for
Where to start: Machine Learning for Trading works as a free course. Qlib is the most complete toolkit once you are ready to build.

90ScoreMicrosoft Research's quant platform: data pipeline, factor library and model training in one place.
★ 50k stars · Advanced · updated 2026-10
87ScoreThe companion code to Stefan Jansen's book. Hundreds of notebooks from features to live strategies.
★ 22k stars · Intermediate · updated 2026-10
78ScoreDeep reinforcement learning for trading, with ready-made market environments.
★ 17k stars · Advanced · updated 2026-10
60ScoreA reinforcement learning framework for building and training trading agents.
★ 7.3k stars · Advanced · updated 2026-02
52ScoreNTU's reinforcement learning platform with standard environments and benchmarks. Quiet since mid-2025.
★ 3.1k stars · Advanced · updated 2025-06
Keep reading across FullStack Alpha
Not ready to run code yourself? Our hands-on AI stock tool reviews on AIStockPickerApp.com score finished products on five pillars, the AI stock tools directory at AIStockPickerApps.com sorts 200+ tools by the job they do, and AIStockTradingBots.com walks through broker APIs, bot setup and backtesting step by step. Or head back to the Trading Workflows home page to match tools to your own routine and budget.
It can find small, short-lived patterns, and big firms profit from them at scale. For individuals, the gap between a good-looking model and a profitable one is wide. Expect to learn more than you earn at first.
A method where a program learns by trial and error, getting rewarded for profitable decisions in a simulated market. It works in games. Markets are harder because the rules keep changing.
Yes. Microsoft released it as open source under the MIT license, which lets you use and change it freely.
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