Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
- machine-learning
- trading
- investment
- finance
Repository Index
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FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
- finance
- portfolio-optimization
- portfolio-management
- quantitative-finance
A computer science textbook
Performance analysis of predictive (alpha) stock factors
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
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
Hands-On Machine Learning for Algorithmic Trading, published by Packt
Machine Learning in Asset Management (by @firmai)
- machine-learning
- trading-strategies
- assets-management
- algorithmic-trading
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
Environment for reinforcement-learning algorithmic trading models
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.