| 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 |
| icoxfog417/awesome-financial-nlp |
98 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
|
|
| Researches for Natural Language Processing for Financial Domain |
| marcosan93/Stock-Performance-Predictor-2.0 |
79 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Stock Fundamental Analysis using Machine Learning Classification Models |
| hardyqr/CNN-for-Stock-Market-Prediction-PyTorch |
64 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
|
Python |
| CNN for stock market prediction using raw data & candlestick graph. |
| Ztrimus/Stock-Market-Analysis |
27 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques. |
| dmis-lab/hats |
20 |
|
0 |
0 |
over 6 years ago |
0 |
|
3 |
|
Python |
| HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction |
| mhsmathew/Stock-Market-Analysis |
16 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Analyzing stock market trends using several different indicators in quantum finance. I explore machine learning and standard crossovers to predict future short term stock trends. |
| CNIC92/beat-the-stock-market |
7 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
gpl-3.0 |
Jupyter Notebook |
| Is it possible to find which stocks will perform well in the future by looking at past financial data? |
| Csun1992/SVM-stock-return-prediction |
7 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
Python |
| We predict stock price with K-means clustering and support vector machine |
| pmrai/options_trading |
6 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| This is my insight project for options trading |
