nymath / torchqtm

TorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative financial analysis.

Date Created 2023-05-20 (about a year ago)

Commits 65 (last one about a year ago)

Stargazers 35 (1 this week)

Watchers 5 (0 this week)

Forks 11

License mit

Ranking

RepositoryStats indexes 598,732 repositories, of these nymath/torchqtm is ranked #548,303 (8th percentile) for total stargazers, and #336,587 for total watchers. Github reports the primary language for this repository as Cython, for repositories using this language it is ranked #107/109.

nymath/torchqtm is also tagged with popular topics, for these it's ranked: deep-learning (#8,087/8543), quantitative-finance (#192/205)

Other Information

nymath/torchqtm has Github issues enabled, there is 1 open issue and 0 closed issues.

There have been 1 release, the latest one was published on 2023-06-01 (about a year ago) with the name Dataset.

Homepage URL: https://nymath.github.io/torchqtm/navigate/

All Topics

alpha-model deep-learning quantitative-finance function-approximation

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65 commits on the default branch (main) since jan '22

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updated: 2024-12-26 @ 05:02am, id: 643119933 / R_kgDOJlU7PQ