machine-learning-for-trading
gs-quant
Our great sponsors
machine-learning-for-trading | gs-quant | |
---|---|---|
224 | 96 | |
11,797 | 2,456 | |
- | 4.6% | |
1.1 | 7.9 | |
10 months ago | 12 days ago | |
Jupyter Notebook | Jupyter Notebook | |
- | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
machine-learning-for-trading
- Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0
- How to backtest common strategy / filters in bulk?
- Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10565.0
gs-quant
What are some alternatives?
SDV - Synthetic data generation for tabular data
fastquant - fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Mad-Money-Backtesting - Backtesting recommendations from Mad Money and "The Cramer Effect/Bounce"
FinancePy - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
documentation - This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/
resistance - Pre-crisis Risk Management for Personal Finance
zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.
notebooks - Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network
TTM - # TTM Stock squeeze detection based on bollinger + keltner channels. Detects which stocks are out after bollinger is inside keltner channel.
fraud-detection-handbook - Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook