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 news-reaction-failure-analyzergit 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/news-reaction-failure-analyzer)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/news-reaction-failure-analyzer"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/news-reaction-failure-analyzer/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/news-reaction-failure-analyzer"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/news-reaction-failure-analyzer.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 | $0.00188 | $0.02385 |
| Opus 5 | $0.00094 | $0.01192 |
| Sonnet 5 | $0.00038 | $0.00477 |
| Haiku 4.5 | $0.00019 | $0.00238 |
Grade A, and why
news-reaction-failure-analyzer 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.
How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
News Reaction Failure Analyzer
Overview
Implements step 2 of Jason Shapiro's COT contrarian process: once a market
is flagged as crowded (cot-contrarian-detector, step 1), check whether it
FAILED to react to news that should have rewarded the crowd. A crowded-long
market that doesn't rally on genuinely bullish news, or a crowded-short
market that doesn't sell off on genuinely bearish news, is the core
behavioral tell that the crowd has run out of buying/selling power — this
is the confirmation step that turns "crowded" into a contrarian setup
candidate (steps 3-5, still manual: price-action confirmation, entry, exit).
Why this isn't a naive failure-ratio check: an earlier design flagged
"news failure" whenever fewer than half the relevant events "responded" —
but under pure noise, roughly 69% of individual events fail to respond by
chance, so that rule would CONFIRM on random noise 48-83% of the time
depending on sample size. This skill instead requires the market to have
moved significantly against the crowd's favorable news (a drift-
significance test with a Monte-Carlo-verified null false-positive bound),
never merely "didn't respond enough." See
references/news-failure-patterns.md for the full statistical rationale.
When to Use This Skill
English:
- "Did the market shrug off [event] even though [asset] is crowded long/short?"
- "Run a news-failure check on [symbol]"
- "Is [symbol] confirmed for a Shapiro-style contrarian setup?"
- After
cot-contrarian-detectorflags a market CROWDED_LONG / CROWDED_SHORT and the user wants to move to step 2
Japanese:
- 「この市場は好材料に反応しなかった？」
- 「COTで偏っているこの銘柄のニュース失敗を確認して」
Do NOT use when:
- The market isn't crowded (NEUTRAL classification) — this skill refuses
fail-closed without an explicit
--directionoverride - No curated events JSON exists yet — WebSearch must run first (Phase 2 below); never fabricate events or URLs to get a verdict
Prerequisites
- FMP API Key: Required. Set
FMP_API_KEYor pass--api-key. Used for price data only (stable/historical-price-eod/light) — coverage varies by symbol; seereferences/price-source-map.md. - Python 3.9+ with
requestsinstalled. - WebSearch access to curate the events JSON (Phase 2). Skill degrades gracefully without it (states the limitation; never fabricates events).
- Optional: a
cot-contrarian-detectorJSON report (--detector-json) to auto-resolve symbol + direction, or supply--directionexplicitly.
What ships with it
7 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/news-failure-patterns.md 10 KB
- references/price-source-map.md 5.9 KB
- requirements.txt 128 B
- scripts/analyze_news_reaction.py 43 KB runs code
- scripts/reaction_math.py 19 KB runs code
- scripts/tests/test_analyze_news_reaction.py 48 KB runs code
- scripts/tests/test_reaction_math.py 29 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.
- 13d ago First seen · 180 lines · 188 tokens per session scan A c1059fe863db
news-reaction-failure-analyzer is a skill published in the GitHub repository tradermonty/claude-trading-skills (2,813 stars, last pushed today), licensed MIT. It adds 188 tokens to every session and 2,385 once invoked, about $0.0009 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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