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rgourleyrgourley/quant-garage/skills/backtest-data-prep/SKILL.md

backtest-data-prep

Skill7 starsChanged 4 months agoLicence not identifiedView on GitHub

Build a clean, point-in-time, ready-to-backtest OHLCV dataset for a US equity universe across an arbitrary date window. Emits parquet plus a manifest plus an edge-case log, with corporate actions reconciled, survivorship treatment documented, holidays and half-days preserved correctly, and any IPO partial coverage or trading halts flagged. The dataset is the artifact a downstream Python/R/Julia backtester consumes; the rendered summary is the operator-readable companion. First skill in the suite that ships dataset output mode.

  • Reads credentials

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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