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Awesome List
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
GitHub stars and default-branch commits for wilsonfreitas/awesome-quant.
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Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Statsmodels: statistical modeling and econometrics in Python
Probabilistic time series modeling in Python
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
ARCH models in Python
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
Time series analysis in the `tidyverse`
Distributional crypto-return forecasting via Wasserstein-geodesic extrapolation in quantile-function space. WGeo family wins 12/12 (asset × horizon) cells over 6.75y walk-forward CRPS vs GARCH and classical baselines. v0.4.