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Probabilistic price forecasting via stochastic differential equations (GBM/OU/neural), with AIC model selection, Monte Carlo quantiles, and fan charts.
pip install neural-sde
PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<3,>=1.24<2,>=1.10<4,>=3.7neural-sde publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .