Journal topic

Data quality

A focused reading path through the options data reference.

Data quality is not just whether a response parses. It includes completeness, provenance, timestamps, units, and the way a page communicates uncertainty. The selected articles develop practical checks for stale quotes, unresolved identities, inconsistent pairs, and incomplete reference data. Use them to create a small acceptance dataset before collecting a large archive. Preserve rejected examples and the reason for each rejection where your permissions allow. A clean output should remain traceable to its inputs, and an unavailable value should not become zero simply because that is easier to plot.

8 articles in this collection

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Go from a market label to a field you can explain. Start with the guides, then inspect the local JSON examples.