| 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. |
| polakowo/vectorbt |
3,189 |
|
0 |
9 |
over 2 years ago |
65 |
January 27, 2023 |
181 |
other |
Python |
| Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research. |
| MarcSkovMadsen/awesome-streamlit |
1,832 |
|
0 |
0 |
almost 3 years ago |
5 |
July 28, 2020 |
29 |
cc-by-sa-4.0 |
HTML |
| The purpose of this project is to share knowledge on how awesome Streamlit is and can be |
| 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. |
| edtechre/pybroker |
1,455 |
|
0 |
0 |
about 2 years ago |
0 |
|
6 |
other |
Python |
| Algorithmic Trading in Python with Machine Learning |
| letianzj/QuantResearch |
1,410 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Quantitative analysis, strategies and backtests |
| enzoampil/fastquant |
1,244 |
|
0 |
1 |
over 2 years ago |
48 |
January 04, 2023 |
78 |
mit |
Jupyter Notebook |
| fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code! |
| 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 |
| robertmartin8/MachineLearningStocks |
851 |
|
0 |
0 |
about 5 years ago |
0 |
|
7 |
mit |
Python |
| Using python and scikit-learn to make stock predictions |
| VivekPa/IntroNeuralNetworks |
691 |
|
0 |
0 |
over 6 years ago |
0 |
|
5 |
mit |
Python |
| Introducing neural networks to predict stock prices |
