Deep_Learning_Machine_Learning_Stock
machine-learning-for-trading
| Deep_Learning_Machine_Learning_Stock | machine-learning-for-trading | |
|---|---|---|
| 48 | 224 | |
| 1,149 | 11,881 | |
| - | - | |
| 6.1 | 1.1 | |
| 2 months ago | 11 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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.
Deep_Learning_Machine_Learning_Stock
- Deep_Learning_Machine_Learning_Stock: NEW Deep Learning And Reinforcement Learning - star count:1017.0
- Deep_Learning_Machine_Learning_Stock: NEW Deep Learning And Reinforcement Learning - star count:924.0
- Deep_Learning_Machine_Learning_Stock: NEW Deep Learning And Reinforcement Learning - star count:792.0
- Deep_Learning_Machine_Learning_Stock: NEW Deep Learning And Reinforcement Learning - star count:729.0
- Deep-Learning-Machine-Learning-Stock: curated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem with this repo is that the library version numbers may b
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?
tsfresh - Automatic extraction of relevant features from time series:
SDV - Synthetic data generation for tabular data
bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Mad-Money-Backtesting - Backtesting recommendations from Mad Money and "The Cramer Effect/Bounce"
FinanceDataReader - Financial data reader [Moved to: https://github.com/FinanceData/FinanceDataReader]
documentation - This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/
TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.
deltapy - DeltaPy - Tabular Data Augmentation (by @firmai)
cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network
DataScienceProjects
TTM - # TTM Stock squeeze detection based on bollinger + keltner channels. Detects which stocks are out after bollinger is inside keltner channel.