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 market-top-detectorgit 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/market-top-detector)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/market-top-detector"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/market-top-detector/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/market-top-detector"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/market-top-detector.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 | $0.00092 | $0.02413 |
| Opus 5.5 | $0.00037 | $0.00965 |
| Sonnet 5.5 | $0.00018 | $0.00483 |
| Haiku 4.5 | $0.00009 | $0.00241 |
Grade A, and why
market-top-detector 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 8d ago.
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
2 near-identical copies found in the catalogue:
- market-top-detector — 89% identical, 35 lines differ
- market-top-detector — 89% identical, 33 lines differ
How it starts
The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Top Detector Skill
Purpose
Assess heuristic market top risk using a 6-component scoring system (0-100). Integrates three market risk methodologies:
- O'Neil - Distribution Day accumulation (institutional selling)
- Minervini - Leading stock deterioration pattern
- Monty - Defensive sector rotation signal
Unlike the Bubble Detector (macro/multi-month evaluation), this skill focuses on tactical 2-8 week timing signals that precede 10-20% market corrections.
Score interpretation
Treat the 0-100 composite as a heuristic risk score, not an estimated event probability. A score of 70 does not mean a 70% chance of a top. Risk-budget percentages are policy heuristics, not measured outcome frequencies. Historical patterns are retrospective estimates, not point-in-time evidence. Report no comparable episode when any component is unavailable/invalid or nearest-pattern weighted RMS exceeds 15 points. This tolerance is a predeclared heuristic, not an empirically validated similarity threshold. Follow the point-in-time evaluation protocol before making calibration claims. No measured calibration results are supplied.
When to Use This Skill
English:
- User asks "Is the market topping?" or "Are we near a top?"
- User notices distribution days accumulating
- User observes defensive sectors outperforming growth
- User sees leading stocks breaking down while indices hold
- User asks about reducing equity exposure timing
- User wants to assess correction risk for the next 2-8 weeks
Japanese:
- 「天井が近い？」「今は利確すべき？」
- ディストリビューションデーの蓄積を懸念
- ディフェンシブセクターがグロースをアウトパフォーム
- 先導株が崩れ始めているが指数はまだ持ちこたえている
- エクスポージャー縮小のタイミング判断
- 今後2〜8週間の調整リスクを評価したい
Prerequisites
Required:
- FMP API Key: Set
$FMP_API_KEYenvironment variable or pass--api-key. Free tier sufficient (~33 API calls per execution). - WebSearch Access: Required to collect S&P 500 breadth (50DMA %) and CBOE Put/Call ratio data.
What ships with it
42 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.
- references/distribution_day_guide.md 4.3 KB
- references/historical_tops.md 7.1 KB
- references/market_top_methodology.md 7.2 KB
- references/point_in_time_evaluation.md 5.0 KB
- requirements.txt 293 B
- scripts/_market_calendar.py 11 KB runs code
- scripts/breadth_csv_client.py 4.0 KB runs code
- scripts/calculators/__init__.py 732 B runs code
- scripts/calculators/breadth_calculator.py 3.8 KB runs code
- scripts/calculators/defensive_rotation_calculator.py 7.1 KB runs code
- scripts/calculators/distribution_day_calculator.py 6.4 KB runs code
- scripts/calculators/index_technical_calculator.py 7.4 KB runs code
- scripts/calculators/leading_stock_calculator.py 9.3 KB runs code
- scripts/calculators/math_utils.py 1.5 KB runs code
- scripts/calculators/sentiment_calculator.py 6.9 KB runs code
- scripts/fmp_client.py 22 KB runs code
- scripts/historical_comparator.py 5.4 KB runs code
- scripts/market_top_detector.py 26 KB runs code
- scripts/report_generator.py 18 KB runs code
- scripts/scenario_engine.py 4.2 KB runs code
- scripts/scorer.py 20 KB runs code
- scripts/tests/conftest.py 307 B runs code
- scripts/tests/helpers.py 1.4 KB runs code
- scripts/tests/test_breadth_csv_client.py 4.5 KB runs code
- scripts/tests/test_breadth.py 2.5 KB runs code
- scripts/tests/test_defensive_rotation.py 5.1 KB runs code
- scripts/tests/test_delta.py 4.6 KB runs code
- scripts/tests/test_distribution_day.py 6.4 KB runs code
- scripts/tests/test_fmp_client.py 27 KB runs code
- scripts/tests/test_freshness.py 6.4 KB runs code
- scripts/tests/test_historical_comparator.py 4.0 KB runs code
- scripts/tests/test_index_technical.py 2.9 KB runs code
- scripts/tests/test_leading_stock.py 9.2 KB runs code
- scripts/tests/test_market_calendar_contract.py 5.0 KB runs code
- scripts/tests/test_math_utils.py 2.7 KB runs code
- scripts/tests/test_report_generator.py 7.5 KB runs code
- scripts/tests/test_risk_interpretation.py 1.2 KB runs code
- scripts/tests/test_scenario_engine.py 3.5 KB runs code
- scripts/tests/test_scorer.py 17 KB runs code
- scripts/tests/test_sentiment.py 3.6 KB runs code
- scripts/tests/test_utils.py 1.6 KB runs code
- scripts/utils.py 608 B 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.
- 8d ago Changed · +12 lines · +1 tokens per session 10d854d69d4c
- 1mo ago First seen · 203 lines · 91 tokens per session scan A 8d0b81de2d8f
market-top-detector is a skill published in the GitHub repository tradermonty/claude-trading-skills (3,373 stars, last pushed yesterday), licensed MIT. It adds 92 tokens to every session and 2,413 once invoked, about $0.0004 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 2026-08-30.
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