Claude Trading Skills is a collection of Claude Code workflows for individual investors who want structured market analysis, charting, economic-calendar review, screening, trade planning, journaling, and risk management. It is designed for people using long-term investing, ETFs, dividend stocks, and disciplined swing trading, and the catalogue entries package these workflows as skills, agents, commands, settings, and instructions.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add tradermonty/claude-trading-skills --skill stockbee-20pct-studygit clone --depth 1 https://github.com/tradermonty/claude-trading-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tradermonty/claude-trading-skills/stockbee-20pct-study)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/stockbee-20pct-study"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/stockbee-20pct-study/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/stockbee-20pct-study"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/stockbee-20pct-study.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00087 | $0.01630 |
| Opus 5.5 | $0.00035 | $0.00652 |
| Sonnet 5.5 | $0.00017 | $0.00326 |
| Haiku 4.5 | $0.00009 | $0.00163 |
Grade A, and why
stockbee-20pct-study scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- stockbee-20pct-study — 100% identical, 10 lines differ
How it starts
The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.
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:
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/
What ships with it
15 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/cohort_summary_template.md 158 B
- assets/daily_report_template.md 196 B
- references/catalyst_taxonomy.md 2.2 KB
- references/cohort_mining_rules.md 2.1 KB
- references/event_schema.md 3.5 KB
- references/methodology.md 3.1 KB
- references/scoring_system.md 2.2 KB
- requirements.txt 128 B
- scripts/fmp_client.py 20 KB runs code
- scripts/run_20pct_study.py 68 KB runs code
- scripts/tests/test_cli_outputs.py 9.2 KB runs code
- scripts/tests/test_cohort_summary.py 3.0 KB runs code
- scripts/tests/test_event_detection.py 4.4 KB runs code
- scripts/tests/test_fmp_client.py 14 KB runs code
- scripts/tests/test_forward_outcomes.py 4.1 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday Changed · +10 lines a9f8350dfa03
- 1mo ago First seen · 133 lines · 87 tokens per session scan A ea5045f55400
stockbee-20pct-study is a skill published in the GitHub repository tradermonty/claude-trading-skills (3,373 stars, last pushed yesterday), licensed MIT. It adds 87 tokens to every session and 1,630 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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