documentation
machine-learning-for-trading
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documentation | machine-learning-for-trading | |
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1 | 224 | |
2 | 11,797 | |
- | - | |
6.2 | 1.1 | |
12 days ago | 10 months ago | |
Stylus | Jupyter Notebook | |
MIT License | - |
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documentation
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Documentation for Quantiacs
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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
What are some alternatives?
finta - Common financial technical indicators implemented in Pandas.
SDV - Synthetic data generation for tabular data
mlfinlab - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Mad-Money-Backtesting - Backtesting recommendations from Mad Money and "The Cramer Effect/Bounce"
ib_insync - Python sync/async framework for Interactive Brokers API
zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.
Lean - Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network
ta - Technical Analysis Library using Pandas and Numpy
TTM - # TTM Stock squeeze detection based on bollinger + keltner channels. Detects which stocks are out after bollinger is inside keltner channel.
backtrader - Python Backtesting library for trading strategies
fraud-detection-handbook - Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook