Factor-Research
Advanced Quantitative Factor Research: ML-powered stock return prediction with 72% performance improvement. Features comprehensive alpha factor library, systematic feature selection, and deep learning models (LSTM+ResNet achieving IC=0.06476).
nuglifeleoji/Factor-Research
View on GitHub ↗Advanced Quantitative Factor Research: ML-powered stock return prediction with 72% performance improvement. Features comprehensive alpha factor library, systematic feature selection, and deep learning models (LSTM+ResNet achieving IC=0.06476).
Factor-Research grew +0.5% in the last 30 days, ranks 45th of 147 in Dataset Engineering, last commit 429 days ago.
Star trajectory
115 days tracked+0.5% in 30d, above the Dataset Engineering median of +0.0%.
Last commit 429 days ago, staler than the median of 312d.
How it compares in Dataset Engineering
Ranked 45th of 147 by stars.
- Language
- Jupyter Notebook
- License
- -
- Contributors
- 1
- Forks
- 61
- Watchers
- 38
- Open issues
- 0
- Releases
- 0
- Created
- 2025-08-22
- Stars this week
- +1
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