awesome-algorithmic-trading
github.com/joelowj/awesome-algorithmic-trading ↗A curated list of awesome algorithmic trading frameworks, libraries, software and resources
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Articles
- 10 Things to Know About Every Cash Flow Statement
- Diversification: How much is too much?
- Performance Measurement: The What, Why, and How of the Investment Management Process
- Successful Backtesting of Algorithmic Trading Strategies - Part I
Part I
- Successful Backtesting of Algorithmic Trading Strategies - Part II
Part II
- The 15 Stock Diversification Myth
Communities
Books
- Algorithmic Trading and DMA: An introduction to direct access trading strategies
- Building Winning Algorithmic Trading Systems, + Website: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading (Wiley Trading)
- Finding Alphas: A Quantitative Approach to Building Trading Strategies
- Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
- Inside the Black Box: A Simple Guide to Quantitative and High Frequency Trading
- Python for Finance: Analyze Big Financial Data
Tutorials
Showing a sample of 49 resources. View the full list on GitHub →