# nuglifeleoji/Factor-Research

<https://repo.masters-masters.com/en/repos/nuglifeleoji/Factor-Research>

[Home](https://repo.masters-masters.com/en) › [nuglifeleoji](https://repo.masters-masters.com/en/owners/nuglifeleoji) › [Factor-Research](https://repo.masters-masters.com/en/repos/nuglifeleoji/Factor-Research)

nuglifeleoji/Factor-Research has 422 stars on GitHub. Its RepoMasters card: Alpha tier. Advanced Quantitative Factor Research: ML-powered stock return…

| Field | Value |
| --- | --- |
| Owner | [nuglifeleoji](https://repo.masters-masters.com/en/owners/nuglifeleoji) |
| Stars | 422 |
| Forks | 62 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2025 |
| Topics | alpha-factors, backtesting, deep-learning, factor-modeling, feature-selection, lstm, machine-learning, pytorch, transformer |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [nuglifeleoji/Factor-Research](https://github.com/nuglifeleoji/Factor-Research) |

## Repository

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).

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.