stockbee-20pct-study skillA
stockbee-20pct-study is agent-read markdown (skill) from tradermonty/claude-trading-skills: Build and maintain a Stockbee-style daily 20% mover study for US equities by scanning +20%/-20% movers, classifying catalysts and setup context, updating forward outcomes, and summarizing cohort patterns. Use when the user asks to run a daily 20% study, backfill historical 20% movers, find recurring edge patterns, or build a model book of explosive market moves..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Stockbee 20% Study Build a daily event study of US equities that moved +20% or -20% over a defined window. Convert large movers into structured study records, classify the catalyst and chart context, update forward outcomes, and summarize recurring patterns for research. This skill is a research, model-book, and setup-fluency workflow. It does not generate buy/sell signals, place orders, or output broker execution instructions. ## When to Use - User wants to run a Stockbee-style daily 20% mover study - User asks which stocks moved +20% or -20% today, this week, or over a configurable lookback window - User wants to backfill historical 20% movers and study what happened next - User wants to identify continuation, reversal, exhaustion, or theme-cluster patterns - User wants to build a model book of explosive winners, major failures, and failed low-quality pops - User wants edge hints for downstream strategy research rather than immediate trade signals ## Prerequisites - Python 3.9+ - FMP API key for live US universe scans, or offline OHLCV JSON via `--prices-json` - Optional structured news/catalyst JSON for higher-quality catalyst classification …
Read the whole file at its exact version.
How to install
mdr add tradermonty/claude-trading-skills/stockbee-20pct-study@git:20260629.85c6305mdr add tradermonty/claude-trading-skills/stockbee-20pct-study@sha256:ea5045f55400f67dPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_gz5gervm4q4rjeiv)
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Versions
Audit of the latest version
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- pass: Frontmatter declares a name
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- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
tradermonty/claude-trading-skills · 2,885 stars · license MIT · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_gz5gervm4q4rjeiv GET https://markdownregistry.com/api/v1/resolve?ref=tradermonty/claude-trading-skills/stockbee-20pct-study GET https://markdownregistry.com/api/v1/blob/ea5045f55400f67df00fbe2445a9aa76a8febba78a606567c4258bf04a4a9ebd
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