StockGram / Intelligent-Quantitative-Trading

Contains detailed and extensive notes on quantitative trading, leveraging NLP for finance, backtesting, alpha factor research, portfolio management and optimization.

Date Created 2020-11-13 (4 years ago)

Commits 356 (last one 4 years ago)

Stargazers 40 (0 this week)

Watchers 1 (0 this week)

Forks 13

License unknown

Ranking

RepositoryStats indexes 595,856 repositories, of these StockGram/Intelligent-Quantitative-Trading is ranked #520,769 (13th percentile) for total stargazers, and #544,643 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #14,340/17,543.

StockGram/Intelligent-Quantitative-Trading is also tagged with popular topics, for these it's ranked: trading (#585/657), trading-strategies (#189/213)

Other Information

StockGram/Intelligent-Quantitative-Trading has 13 open pull requests on Github, 0 pull requests have been merged over the lifetime of the repository.

All Topics

trading alpha-factors trading-strategies portfolio-management quantitative-trading backtesting-trading-strategies

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updated: 2024-12-02 @ 04:16am, id: 312454194 / R_kgDOEp-sMg