Agent skill

Stockbee 20pct Study

by tradermonty in 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…

MITAuto-check passed

Install Stockbee 20pct Study

skills CLI

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-20pct-study -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install tradermonty/claude-trading-skills stockbee-20pct-study --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/stockbee-20pct-study .claude/skills/stockbee-20pct-study && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "stockbee-20pct-study" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-20pct-study into .claude/skills/stockbee-20pct-study/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-20pct-study", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-20pct-study

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-20pct-study -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install tradermonty/claude-trading-skills stockbee-20pct-study --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/stockbee-20pct-study .agents/skills/stockbee-20pct-study && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "stockbee-20pct-study" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-20pct-study into .agents/skills/stockbee-20pct-study/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-20pct-study", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-20pct-study -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install tradermonty/claude-trading-skills stockbee-20pct-study --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/stockbee-20pct-study .cursor/skills/stockbee-20pct-study && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "stockbee-20pct-study" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-20pct-study into .cursor/skills/stockbee-20pct-study/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-20pct-study", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/tradermonty/claude-trading-skills.git --path skills/stockbee-20pct-study

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-20pct-study -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install tradermonty/claude-trading-skills stockbee-20pct-study --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/stockbee-20pct-study .gemini/skills/stockbee-20pct-study && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "stockbee-20pct-study" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-20pct-study into .gemini/skills/stockbee-20pct-study/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-20pct-study", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install tradermonty/claude-trading-skills stockbee-20pct-study

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-20pct-study -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/stockbee-20pct-study .github/skills/stockbee-20pct-study && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "stockbee-20pct-study" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-20pct-study into .github/skills/stockbee-20pct-study/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-20pct-study", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-20pct-study -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install tradermonty/claude-trading-skills stockbee-20pct-study --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/stockbee-20pct-study .opencode/skills/stockbee-20pct-study && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "stockbee-20pct-study" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-20pct-study into .opencode/skills/stockbee-20pct-study/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-20pct-study", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: stockbee-20pct-study
GitHub stars: 3k
Used in: 1 other repo
Token cost: ~1.4k tokens
SKILL.md length: 410 words
Files: 15 (incl. scripts, references, assets)
Skills in repo: 74
Repo updated: Oct 11, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

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…

Works in 5 steps: Scan for 20% Movers → Enrich and Classify Events → Update Matured Forward Outcomes → …
The user asks to run a daily 20% study
SKILL.md covers When to Use, Prerequisites, Workflow and Output Format, plus 1 more section
Runs Python scripts from its folder; calls python3

What it does

Stockbee 20pct Study is an agent 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.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 other files, including scripts, reference files and assets (for example `assets/cohort_summary_template.md`, `assets/daily_report_template.md` and `references/catalyst_taxonomy.md`).

The repository describes itself as: Claude Code skills for equity investors and traders — market analysis, technical charting, economic calendars, screeners, and trading strategy development. The licence is MIT.

When your agent uses it

The user asks to run a daily 20% study
Backfill historical 20% movers
Find recurring edge patterns
Build a model book of explosive market moves

Example prompts

“/stockbee-20pct-study”

Requirements

Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

Scan for 20% Movers
Enrich and Classify Events
Update Matured Forward Outcomes
Summarize Cohorts
Historical Backfill

What it can do on your machine

Read from SKILL.md and the folder at commit c8d58f0. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 6 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Stockbee 20pct Study loads about 1.4k tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 96 tokens; SKILL.md has 410 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~96
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~4.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from tradermonty/claude-trading-skills at commit c8d58f0, republished under its MIT licence (© tradermonty). 410 words, ~1,438 tokens.

Download SKILL.mdSave it as .claude/skills/stockbee-20pct-study/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.

name: stockbee-20pct-study
description: 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.

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
Recommended market regime artifact from market-regime-daily
Recommended local state path: state/stockbee/20pct_study_events.jsonl

Workflow

Step 1: Scan for 20% Movers

Run after the US market close, or against the latest complete daily bar in an offline OHLCV file.

bash

python3 skills/stockbee-20pct-study/scripts/run_20pct_study.py scan \
  --fmp-universe \
  --max-symbols 300 \
  --as-of 2026-06-28 \
  --lookback-days 5 \
  --min-abs-return-pct 20 \
  --min-price 5 \
  --min-dollar-volume 20000000 \
  --include-down-movers \
  --state-file state/stockbee/20pct_study_events.jsonl \
  --output-dir reports/

Use offline data instead of FMP:

bash

python3 skills/stockbee-20pct-study/scripts/run_20pct_study.py scan \
  --prices-json data/us_daily_ohlcv.json \
  --as-of 2026-06-28 \
  --lookback-days 5 \
  --include-down-movers \
  --state-file state/stockbee/20pct_study_events.jsonl \
  --output-dir reports/

Step 2: Enrich and Classify Events

Use structured catalyst data when available. The enrichment step is best-effort: if no news record is found, the event remains a price-only NO_CLEAR_NEWS study record.

bash

python3 skills/stockbee-20pct-study/scripts/run_20pct_study.py enrich \
  --events-json reports/stockbee_20pct_events_YYYY-MM-DD_HHMMSS.json \
  --news-json data/catalysts_YYYY-MM-DD.json \
  --market-regime reports/market_regime_latest.json \
  --state-file state/stockbee/20pct_study_events.jsonl \
  --output-dir reports/

Show full SKILL.md (167 more words)Show less

Step 3: Update Matured Forward Outcomes

Update 1-day, 3-day, 5-day, 10-day, and 20-day forward outcomes after enough future bars exist.

bash

python3 skills/stockbee-20pct-study/scripts/run_20pct_study.py update-outcomes \
  --prices-json data/us_daily_ohlcv.json \
  --state-file state/stockbee/20pct_study_events.jsonl \
  --horizons 1,3,5,10,20 \
  --output-dir reports/

The update records close return, MFE, MAE, direction-adjusted continuation return, and outcome tags.

Step 4: Summarize Cohorts

bash

python3 skills/stockbee-20pct-study/scripts/run_20pct_study.py summarize \
  --state-file state/stockbee/20pct_study_events.jsonl \
  --group-by direction,catalyst.label,technical_context.pattern_label,technical_context.close_quality \
  --min-sample 10 \
  --output-dir reports/

Treat rule_candidates and exported edge hints as research prompts. Require representative chart review, sample-size thresholds, and out-of-sample validation before changing trade rules.

Step 5: Historical Backfill

bash

python3 skills/stockbee-20pct-study/scripts/run_20pct_study.py backfill \
  --from 2020-01-01 \
  --to 2026-06-28 \
  --prices-json data/us_daily_ohlcv.json \
  --min-abs-return-pct 20 \
  --include-down-movers \
  --state-file state/stockbee/20pct_study_events.jsonl \
  --output-dir reports/

Backfill records are marked CURRENT_UNIVERSE_BACKFILL_SURVIVORSHIP_BIAS by default. Add --survivorship-complete only when the supplied OHLCV includes delisted symbols and historical universe coverage.

Output Format

stockbee_20pct_events_YYYY-MM-DD_HHMMSS.json — scan metadata and event records
stockbee_20pct_daily_report_YYYY-MM-DD_HHMMSS.md — human-readable daily 20% study report
stockbee_20pct_enriched_YYYY-MM-DD_HHMMSS.json — enriched event records
stockbee_20pct_outcome_update_YYYY-MM-DD_HHMMSS.json/md — matured forward outcome update
stockbee_20pct_cohort_summary_YYYY-MM-DD_HHMMSS.json/md — cohort statistics and rule candidates
stockbee_20pct_edge_hints_YYYY-MM-DD_HHMMSS.yaml — edge-hint export for downstream research skills
state/stockbee/20pct_study_events.jsonl — durable 20% mover model book

Resources

references/methodology.md — 20% study methodology and review checklist
references/event_schema.md — JSONL event record schema
references/catalyst_taxonomy.md — catalyst and risk label definitions
references/scoring_system.md — event quality and study priority scoring
references/cohort_mining_rules.md — overfitting controls and sample-size rules
scripts/run_20pct_study.py — CLI for scan, enrich, update-outcomes, summarize, and backfill

Files

SKILL.md and 14 other files (scripts, references, assets) in skills/stockbee-20pct-study of tradermonty/claude-trading-skills.

SKILL.md
assets/cohort_summary_template.md
assets/daily_report_template.md
references/catalyst_taxonomy.md
references/cohort_mining_rules.md
references/event_schema.md
references/methodology.md
references/scoring_system.md
requirements.txt
scripts/run_20pct_study.py
scripts/tests/test_cli_outputs.py
scripts/tests/test_cohort_summary.py
scripts/tests/test_event_detection.py
scripts/tests/test_fmp_client.py
scripts/tests/test_forward_outcomes.py

Open the folder on GitHubat commit c8d58f0

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in tradermonty/claude-trading-skills, which our catalogue first saw on October 7, 2026.

BaggaT236/AI-Trading-Skillsskills/stockbee-20pct-study

Compare with similar skills

Stockbee 20pct Study next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Stockbee 20pct Study compared with similar skills
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Stockbee 20pct Study this skilltradermonty/claude-trading-skills	3k	1 repos	~1.4k	Automated safety check: Pass	MIT	today
Dailysickn33/agentic-awesome-skills	47k	3 repos	~3.6k	Automated safety check: Pass	MIT	yesterday
Wiki Maintaineropenclaw/openclaw	392k	1 repos	~462	Automated safety check: Pass	MIT	today
Study Plananthropics/claude-for-legal	9.6k	3 repos	~3.5k	Automated safety check: Pass	Apache-2.0	11 days ago
Obsidian Vault Maintaineropenclaw/openclaw	392k	1 repos	~262	Automated safety check: Pass	MIT	today
Openclaw PR Maintaineropenclaw/openclaw	392k	—	~2.3k	Automated safety check: Pass	MIT	today

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Questions about Stockbee 20pct Study

What does Stockbee 20pct Study do?

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…. Stockbee 20pct Study is an agent 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.

When should I use Stockbee 20pct Study?

Stockbee 20pct Study fits situations like: the user asks to run a daily 20% study; backfill historical 20% movers; find recurring edge patterns; build a model book of explosive market moves.

How do I install Stockbee 20pct Study in Claude Code?

Run `npx skills add tradermonty/claude-trading-skills --skill stockbee-20pct-study -a claude-code`. Or copy the skill folder (skills/stockbee-20pct-study in tradermonty/claude-trading-skills) into .claude/skills/stockbee-20pct-study in your project. Claude Code loads it when a task matches its description.

How do I install Stockbee 20pct Study in Codex?

Run `npx skills add tradermonty/claude-trading-skills --skill stockbee-20pct-study -a codex`. Or copy the skill folder (skills/stockbee-20pct-study in tradermonty/claude-trading-skills) into .agents/skills/stockbee-20pct-study in your project. Codex loads it when a task matches its description.

Can I use Stockbee 20pct Study in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tradermonty/claude-trading-skills --skill stockbee-20pct-study -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/stockbee-20pct-study, .gemini/skills/stockbee-20pct-study, .github/skills/stockbee-20pct-study and .opencode/skills/stockbee-20pct-study in your project.

What does Stockbee 20pct Study need to run?

Going by SKILL.md and its folder, Stockbee 20pct Study needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Stockbee 20pct Study access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Stockbee 20pct Study safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Stockbee 20pct Study use?

Stockbee 20pct Study is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Stockbee 20pct Study use?

About 1.4k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.4k tokens, read only when the agent opens those files.

What are the alternatives to Stockbee 20pct Study?

Skills that share tags, products or a category with Stockbee 20pct Study: Daily (sickn33/agentic-awesome-skills, 47k stars), Wiki Maintainer (openclaw/openclaw, 392k stars), Study Plan (anthropics/claude-for-legal, 9.6k stars) and Obsidian Vault Maintainer (openclaw/openclaw, 392k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Stockbee 20pct Study?

tradermonty (a GitHub user) maintains it in tradermonty/claude-trading-skills, which has 2,982 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 11, 2026.

Source: tradermonty/claude-trading-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Stockbee 20pct Study

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Stockbee 20% Study

When to Use

Prerequisites

Workflow

Step 1: Scan for 20% Movers

Step 2: Enrich and Classify Events

Step 3: Update Matured Forward Outcomes

Step 4: Summarize Cohorts

Step 5: Historical Backfill

Output Format

Resources

Files

Used in 1 other repository

Compare with similar skills

Similar skills

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Questions about Stockbee 20pct Study