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 | $0.00091 | $0.02273 |
| Opus 5 | $0.00046 | $0.01137 |
| Sonnet 5 | $0.00018 | $0.00455 |
| Haiku 4.5 | $0.00009 | $0.00227 |
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 13d 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
1 near-identical copy found in the catalogue:
- market-top-detector — 89% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Top Detector Skill
Purpose
Detect the probability of a market top formation using a quantitative 6-component scoring system (0-100). Integrates three proven market top detection 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.
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 probability 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週間の調整確率を評価したい
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.
Optional:
- Margin Debt Data: Enhances sentiment scoring but typically 1-2 months lagged.
- VIX Term Structure: Auto-detected from FMP API if VIX3M quote available; manual override via
--vix-term.
Data Freshness: All manually collected data should be from the most recent 3 business days for accurate analysis.
Difference from Bubble Detector
| Aspect | Market Top Detector | Bubble Detector |
|---|---|---|
| Timeframe | 2-8 weeks | Months to years |
| Target | 10-20% correction | Bubble collapse (30%+) |
| Methodology | O'Neil/Minervini/Monty | Minsky/Kindleberger |
| Data | Price/Volume + Breadth | Valuation + Sentiment + Social |
| Score Range | 0-100 composite | 0-15 points |
What ships with it
40 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 6.9 KB
- references/market_top_methodology.md 7.1 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 20 KB runs code
- scripts/historical_comparator.py 3.8 KB runs code
- scripts/market_top_detector.py 26 KB runs code
- scripts/report_generator.py 17 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 2.8 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_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.
- 13d 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 (2,813 stars, last pushed today), licensed MIT. It adds 91 tokens to every session and 2,273 once invoked, about $0.0005 per session on Opus 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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