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 29 (0 this week)

Watchers 5 (0 this week)

Forks 10

License mit

Ranking

RepositoryStats indexes 565,279 repositories, of these nymath/torchqtm is ranked #547,381 (3rd percentile) for total stargazers, and #326,700 for total watchers. Github reports the primary language for this repository as Cython, for repositories using this language it is ranked #108/108.

nymath/torchqtm is also tagged with popular topics, for these it's ranked: deep-learning (#8,040/8171), quantitative-finance (#191/195)

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: 2024-09-02 @ 11:47am, id: 643119933 / R_kgDOJlU7PQ