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OptionChainAnalytics 2.0.0
OptionChainAnalytics 2.0.0
This release establishes OCA as the open point-in-time option-chain data layer for quantitative
research and empirical replication.
Highlights
- deterministic simulated option panels for offline tests, examples, and visualisations;
- point-in-time chain reconstruction and documented no-look-ahead conventions;
- SPX/VIX Vlad fitted-chain mapping into
OptionsDataDFs; - corrected
NearestStrikeOnGrid.BELOW/ABOVEbehavior; src/packaging, optional provider extras, Python 3.14 CI, and audited wheel/sdist contents;- task-oriented documentation, citation metadata, and MIT licensing.
Python 3.14 or newer is required. Historical option_chain_analytics.data.chain_ts, .config,
and .chain_loader_from_ts imports remain available as compatibility modules.
No proprietary or licensed empirical dataset is distributed. The public first-success workflow
uses deterministic synthetic data and requires no credentials or network access.