MachineLearningStocks
Unverified ML strategy on Indices by robertmartin8. BotFinder score 18 out of 100.
Using python and scikit-learn to make stock predictions
Source: github
BotFinder analysis pending.
MachineLearningStocks
MachineLearningStocks in python: a starter project and guide EDIT as of Feb 2021: MachineLearningStocks is no longer actively maintained MachineLearningStocks is designed to be an intuitive and highly extensible template project applying machine learning to making stock predictions. My hope is that this project will help you understand the overall workflow of using machine learning to predict stock movements and also appreciate some of its subtleties. And of course, after following this guide and playing around with the project, you should definitely make your own improvements – if you're struggling to think of what to do, at the end of this readme I've included a long list of possiblilities: take your pick. Concretely, we will be cleaning and preparing a dataset of historical stock prices and fundamentals using pandas, after which we will apply a scikit-learn classifier to discover the relationship between stock fundamentals (e.g PE ratio, debt/equity, float, etc) and the subsequent annual price change (compared with the an index). We then conduct a simple backtest, before generatin
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