# wjsbjl/use-gplearn-to-generate-CTA-factor

<https://repo.masters-masters.com/en/repos/wjsbjl/use-gplearn-to-generate-CTA-factor>

[Home](https://repo.masters-masters.com/en) › [wjsbjl](https://repo.masters-masters.com/en/owners/wjsbjl) › [use-gplearn-to-generate-CTA-factor](https://repo.masters-masters.com/en/repos/wjsbjl/use-gplearn-to-generate-CTA-factor)

wjsbjl/use-gplearn-to-generate-CTA-factor has 158 stars on GitHub. Its RepoMasters card: Prototype tier. 本文通过gplearn模型，结合遗传算法中的遗传规划方法生成因子。这里因子生成基于simple-backte…

| Field | Value |
| --- | --- |
| Owner | [wjsbjl](https://repo.masters-masters.com/en/owners/wjsbjl) |
| Stars | 158 |
| Forks | 56 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [wjsbjl/use-gplearn-to-generate-CTA-factor](https://github.com/wjsbjl/use-gplearn-to-generate-CTA-factor) |

## Repository

本文通过gplearn模型，结合遗传算法中的遗传规划方法生成因子。这里因子生成基于simple-backtest中的简单回测系统，主要针对股指期货操作。

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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