FinancePy
machine-learning-for-trading
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FinancePy | machine-learning-for-trading | |
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97 | 224 | |
1,898 | 11,797 | |
- | - | |
8.8 | 1.1 | |
28 days ago | 10 months ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 only | - |
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FinancePy
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?
DCF - Basic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.
SDV - Synthetic data generation for tabular data
PyPortfolioOpt - Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Mad-Money-Backtesting - Backtesting recommendations from Mad Money and "The Cramer Effect/Bounce"
gs-quant - Python toolkit for quantitative finance
documentation - This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/
dcf-basic - Basic DCF model to quickly value public companies.
zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.
alphalens - Performance analysis of predictive (alpha) stock factors
cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network
ruby-cff - A Ruby library for manipulating CITATION.cff files.
TTM - # TTM Stock squeeze detection based on bollinger + keltner channels. Detects which stocks are out after bollinger is inside keltner channel.