Jupyter Notebook · MIT
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
★ 21.7k
Stars
5.8k forks · 0 open issues
+14/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
49.7
Momentum / 100
see the breakdown below
8y ago
Created
last push 4d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 22.3 | +14/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.82× the monthly pace |
| Freshness | 15 | 14.9 | last push 4d ago; decays to zero at 180 days |
| Scale | 15 | 12.6 | 21.7k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 49.7 | sum of the above |
Detail
| Topics | algorithmic-tradingartificial-intelligencebacktestingdata-sciencedeep-learningfinanceinvestmentinvestment-strategieslarge-language-modelsmachine-learningml4t-workflowpolarsquantitative-financereinforcement-learningsynthetic-datatradingtrading-agenttrading-strategies |
| Matched on | LLM & Inference (large-language-models) Finance (algorithmic-trading, finance, quantitative-finance) |
| Short window | +95 stars over 7 days = 13.6/day |
| Long window | +429 stars over 26 days = 16.5/day |
| Lifetime average | 7.00 stars/day over 3,102 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |