1.AI4Finance-Foundation / FinRL
FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
- pythorch
- tensorflow2
- +8 more
+139 stars
from 16,835 · score 4.94
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Ranked by Attention Score: stars gained over the last 7 complete days
9 repositories by Attention Score · Oct 28, 2026 – Nov 3, 2026 (UTC)
2.UFund-Me / Qbot
Translated[🔥updating ...] AI automated quantitative trading robot (fully local deployment) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
- funds
- machine-learning
- pytrade
- quantitative-finance
- quantitative-trading
- quantization
- +11 more
+36 stars
from 18,738 · score 3.61
3.quantopian / alphalens
Performance analysis of predictive (alpha) stock factors
+19 stars
from 4,480 · score 3.00
4.letianzj / QuantResearch
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
- derivatives-pricing
- machine-learning
- +14 more
+8 stars
from 3,049 · score 2.20
5.rorysroes / SGX-Full-OrderBook-Tick-Data-Trading-Strategy
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
- high-frequency-trading
- limit-order-book
- python
- machine-learning
- feature-selection
- feature-engineering
- +13 more
+5 stars
from 2,366 · score 1.79
6.rsvp / fecon235
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
- jupyter-notebook
- pandas
- federal-reserve
- gdp
- inflation
- housing
- +14 more
+2 stars
from 1,280 · score 1.10
7.CFA-Institute-RPC / The-Automation-Ahead
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
- data-science
- deep-learning
- finance
- financial-data
- jupyter-notebook
- natural-language-processing
- +1 more
+2 stars
from 72 · score 1.10
8.quantopian / pyfolio
Portfolio and risk analytics in Python
+1 stars
from 6,438 · score 0.69
9.sachink2010 / AutomatedStockTrading-DeepQ-Learning
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
+1 stars
from 302 · score 0.69