Loading…
Use when computing the 10D Compressed Range Position factor from user-supplied OHLCV data or reviewing its bundled real-data validation metrics.
quant-real-factor-10d-compressed-range-position is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # 10D Compressed Range Position Use this Skill to compute `10日压缩区间位置` / `10D Compressed Range Position` from caller-provided OHLCV data. ## Workflow 1. Load a `. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding quant-real-factor-10d-compressed-range-position to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install lyyyxin/lxinyReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# 10D Compressed Range Position Use this Skill to compute `10日压缩区间位置` / `10D Compressed Range Position` from caller-provided OHLCV data. ## Workflow 1. Load a `pandas.DataFrame` wi