| stefan-jansen/machine-learning-for-trading |
9,469 |
|
0 |
0 |
almost 3 years ago |
0 |
|
13 |
|
Jupyter Notebook |
| Code for Machine Learning for Algorithmic Trading, 2nd edition. |
| firmai/financial-machine-learning |
5,277 |
|
0 |
0 |
about 2 years ago |
0 |
|
5 |
|
Python |
| A curated list of practical financial machine learning tools and applications. |
| grananqvist/Awesome-Quant-Machine-Learning-Trading |
1,896 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
|
|
| Quant/Algorithm trading resources with an emphasis on Machine Learning |
| LastAncientOne/Deep_Learning_Machine_Learning_Stock |
1,721 |
|
0 |
0 |
about 2 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders. |
| letianzj/QuantResearch |
1,410 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Quantitative analysis, strategies and backtests |
| ZhengyaoJiang/PGPortfolio |
1,386 |
|
0 |
0 |
over 4 years ago |
0 |
|
50 |
gpl-3.0 |
Python |
| PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf). |
| ScottfreeLLC/AlphaPy |
1,003 |
|
0 |
0 |
over 2 years ago |
25 |
August 29, 2020 |
13 |
apache-2.0 |
Python |
| Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost |
| cbailes/awesome-deep-trading |
799 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
mit |
|
| List of awesome resources for machine learning-based algorithmic trading |
| jankrepl/deepdow |
790 |
|
0 |
0 |
about 2 years ago |
5 |
February 16, 2021 |
26 |
apache-2.0 |
Python |
| Portfolio optimization with deep learning. |
| pskrunner14/trading-bot |
758 |
|
0 |
0 |
over 2 years ago |
0 |
|
16 |
mit |
Jupyter Notebook |
| Stock Trading Bot using Deep Q-Learning |
