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other_models
bin-yang-algotune edited this page Apr 14, 2021
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|---|---|---|---|---|---|---|
| Hands-On-Machine-Learning-for-Algorithmic-Trading | repo for book hands-on-machine learning for algorithmic trading covering topic from data/unsupervised learning/NPL/RNN & CNN/reinforcement learning etc. Leverage zipline/alphalens/sklearn/openai-gym etc as well. Good references to have | 5/7/19 11:04 | 1/19/21 7:51 | 600.0 | ✔️ | ⭐x5 |
| Awesome-Quant-Machine-Learning-Trading | curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent | 11/5/18 21:09 | 10/8/20 16:48 | 1005.0 | ✔️ | ⭐x5 |
| AlphaPy | machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though yaml file for all model process including feature selection/grid search on parameters and aggregate results for each model | 2/14/16 0:47 | 2/8/21 21:35 | 576.0 | ✔️ | ⭐x4 |
| MathAndScienceNotes | Collections of news/articles on various topics including quant trading and machine learning. Some articles are from ycombinator message board and rediit algotrading forum | 3/11/16 19:13 | 12/21/20 3:54 | 460.0 | ✔️ | ⭐x3 |
| CryptoBot | Hard fork of bitpredit and form the trading strategy as a classification problem with -1 (sell) 0 (hold) 1 (buy). Models used are XGBClassifier/RandomForest/GradientBoosting. Not mentained | 1/17/17 12:44 | 1/17/17 12:48 | 234.0 | ✖️ | ⭐x2 |
| Trend Following | A futures trend following portfolio investment strategy. | nan | nan | nan | ✔️ | |
| awesome-ai-in-finance | NEW | 8/29/18 2:07 | 11/27/20 9:43 | 941.0 | ✔️ | |
| Scikit-learn Stock Prediction | Using python and scikit-learn to make stock predictions. | 2/12/17 4:50 | 2/4/21 3:48 | 931.0 | ✔️ | |
| Fundamental LT Forecasts | Research in investment finance for long term forecasts. | 7/22/18 8:14 | 2/17/21 14:39 | 383.0 | ✔️ | |
| stock-trading-ml | NEW | 10/10/19 9:44 | 10/12/19 11:38 | 340.0 | ✔️ | |
| Mixture Models I | Mixture models to predict market bottoms. | 3/20/17 18:54 | 4/25/17 23:35 | 31.0 | ✖️ | |
| finance_ml | NEW | 6/29/18 21:21 | 2/18/19 12:34 | 282.0 | ✖️ | |
| Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original | NEW | 11/15/19 8:51 | 1/21/21 7:56 | 279.0 | ✔️ | |
| Machine-Learning-and-AI-in-Trading | NEW | 8/30/17 6:14 | 10/29/19 8:14 | 261.0 | ✔️ | |
| ML_Finance_Codes | NEW | 9/27/19 16:13 | 6/13/20 21:20 | 250.0 | ✔️ | |
| mlfinlab | NEW | 2/13/19 16:57 | 4/12/21 10:50 | 2295.0 | ✔️ | |
| mosquito | NEW | 6/18/17 19:57 | 3/14/21 22:22 | 220.0 | ✔️ | |
| Short-Term Movement Cues | Identify social/historical cues for short term stock movement. | 9/12/16 18:38 | 8/29/18 20:27 | 2166.0 | ✖️ | |
| Machine-Learning-For-Finance | NEW | 7/11/17 9:09 | 2/21/18 5:36 | 205.0 | ✖️ | |
| Machine-Learning-for-Finance | NEW | 3/15/18 6:28 | 1/14/21 15:58 | 180.0 | ✔️ | |
| Stock.Indicators | NEW | 12/29/19 5:18 | 4/11/21 19:17 | 175.0 | ✔️ | |
| Pattern-Recognition-for-Forex-Trading | NEW | 3/26/15 2:22 | 3/26/15 2:33 | 173.0 | ✖️ | |
| Machine-Learning-for-Algorithmic-Trading-Bots-with-Python | NEW | 12/6/18 11:35 | 1/18/21 6:40 | 172.0 | ✔️ | |
| Mixture Models II | Mixture models and stock trading. | 12/11/17 17:05 | 5/13/20 23:50 | 166.0 | ✔️ | |
| surpriver | NEW | 8/30/20 7:56 | 9/21/20 4:32 | 1189.0 | ✔️ | |
| botflow | NEW | 8/20/18 3:13 | 5/23/19 14:40 | 1165.0 | ✔️ | |
| fin-ml | NEW | 5/10/20 0:25 | 1/23/21 17:15 | 116.0 | ✔️ | |
| Microservices-Based-Algorithmic-Trading-System | NEW | 1/6/20 0:21 | 3/31/20 13:02 | 104.0 | ✔️ | |
| Speculator | NEW | 9/3/17 17:43 | 9/12/18 18:58 | 101.0 | ✖️ |