machine-learning-for-trading
Mad-Money-Backtesting
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machine-learning-for-trading | Mad-Money-Backtesting | |
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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
Mad-Money-Backtesting
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Backtesting Mad-Money recommendations and the Cramer-effect
GitHub repo (code & data) You can extend the available strategies and use the data to test your own thoughts Data is automatically updated every day
GitHub repo (code and data)
What are some alternatives?
SDV - Synthetic data generation for tabular data
zenbot-sim-runner - A sim run batch aggregator / automator for Zenbot. Eases the process of backtesting and subsequent analysis of results.
documentation - This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/
awesome-systematic-trading - A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.
TTM - # TTM Stock squeeze detection based on bollinger + keltner channels. Detects which stocks are out after bollinger is inside keltner channel.
cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network
fastquant - fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
gs-quant - Python toolkit for quantitative finance
fraud-detection-handbook - Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
LeverageCalculator - A C++ program that calculates the leveraged return of stocks given the risk-free rate and stock return data, and then generates a plot of the leveraged return using the Gnuplot library.