brotto/crng
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
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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.
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Latest capture 2026-06-19 22:37
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Scanned 2026-06-19 22:37
pyproject.toml
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12 dependencies
uv.lock
python ecosystem,
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Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
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