# initial-d/ml-quant-trading

<https://repo.masters-masters.com/en/repos/initial-d/ml-quant-trading>

[Home](https://repo.masters-masters.com/en) › [initial-d](https://repo.masters-masters.com/en/owners/initial-d) › [ml-quant-trading](https://repo.masters-masters.com/en/repos/initial-d/ml-quant-trading)

initial-d/ml-quant-trading has 103 stars on GitHub. Its RepoMasters card: Prototype tier. PyTorch ML quant research: 213 factors, bias correction, portfolio…

| Field | Value |
| --- | --- |
| Owner | [initial-d](https://repo.masters-masters.com/en/owners/initial-d) |
| Stars | 103 |
| Forks | 39 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2025 |
| Topics | a-shares, algorithmic-trading, alpha-factors, backtesting, china-stock-market, cross-sectional, factor-investing, machine-learning, multi-factor-model, portfolio-optimization |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [initial-d/ml-quant-trading](https://github.com/initial-d/ml-quant-trading) |

## Repository

PyTorch ML quant research: 213 factors, bias correction, portfolio optimization, backtesting, and System-One/Jev-style decisions.

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.