# nuglifeleoji/Factor-Research

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

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

nuglifeleoji/Factor-Research, dépôt open source à 422 étoiles sur GitHub. Carte Alpha de RepoMasters. Advanced Quantitative Factor Research: ML-powered stock…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [nuglifeleoji](https://repo.masters-masters.com/owners/nuglifeleoji) |
| Étoiles | 422 |
| Forks | 62 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Aucune |
| Création | 2025 |
| Sujets | alpha-factors, backtesting, deep-learning, factor-modeling, feature-selection, lstm, machine-learning, pytorch, transformer |
| Rang | [Alpha (250 à 699 ★)](https://repo.masters-masters.com/ranks/b_movie) |
| Voir sur GitHub | [nuglifeleoji/Factor-Research](https://github.com/nuglifeleoji/Factor-Research) |

## Fiche du dépôt

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).

Rang des dépôts qui ont 250 à 699 ★ sur GitHub. Probabilité publiée par carte tirée : 20 %. Rareté : Peu commune.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.