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Prediction-market data for Python — Kalshi NHIGH/NLOW weather-contract resolvers, Polymarket discovery + settlement, and Kalshi + Polymarket trade history. For quant research and ML training pipelines
pip install mostlyrightmd-markets
PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.27>=4.21<2.1.0,>=2.0.0<2.1.0,>=2.0.0The compact report shows 12 of 13 declarations. The interactive dependency graph loads the complete metadata.
mostlyrightmd-markets publishes 1 wheel and 1 source archive for version 2.0.0. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12, 3.13.
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 29 releases with files. The first dated release is ; 29 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .