cot-contrarian-detector

cot-contrarian-detector is a skill for Claude Code, Codex from tradermonty/claude-trading-skills. It costs 167 tokens per session (2,021 once invoked), scanned A, original, MIT.

A research tool for finding unusually one-sided positions held by large traders in futures markets. Futures are contracts tied to the future price of things such as stock indexes, currencies, metals, energy, interest rates, or crypto assets.

In plain words
What is it for?
Use it to screen 65 futures markets with Commitment of Traders data, review large-speculator positioning extremes, and investigate possible contrarian setups.
Why use it?
It identifies crowded positions that may be vulnerable if the current trend fails, while making clear that crowding alone is not a complete trade signal.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to screen 65 futures markets with Commitment of Traders data, review large-speculator positioning extremes, and investigate possible contrarian setups.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tradermonty/claude-trading-skills/cot-contrarian-detector
About the project

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.

tradermonty/claude-trading-skills · 3,373 stars · on GitHub · tradermonty.github.io

Install

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.

Any agent
npx skills add tradermonty/claude-trading-skills --skill cot-contrarian-detector
Clone the repo
git clone --depth 1 https://github.com/tradermonty/claude-trading-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for cot-contrarian-detector

README.md
[![agentmods](https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/cot-contrarian-detector/github.svg)](https://agentmods.dev/skills/tradermonty/claude-trading-skills/cot-contrarian-detector)
Your own site
<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/cot-contrarian-detector"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/cot-contrarian-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.

agentmods 80×15 button for cot-contrarian-detector

Your own site · 80×15
<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/cot-contrarian-detector"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/cot-contrarian-detector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 167 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,021 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 13 Oct 2026
  • Snyk pass 13 Oct 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00167 $0.02021
Opus 5.5 $0.00067 $0.00808
Sonnet 5.5 $0.00033 $0.00404
Haiku 4.5 $0.00017 $0.00202

Measured 15d ago against content hash 58df17a493e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cot-contrarian-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 15d ago.

The scan reads SKILL.md. This mod also ships 6 executable files (scripts/cot_index.py, scripts/fmp_client.py, scripts/screen_cot_crowding.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/cot-contrarian-detector/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

COT Contrarian Detector

Overview

Implements step 1 of Jason Shapiro's COT (Commitment of Traders) contrarian process: detect when large speculators are crowded into one side of a futures market. Crowded positioning is a precondition for a contrarian trade, not a trade signal — a market only becomes tradable once crowding is confirmed by a news failure and price-action reversal (steps 2-3), which this skill guides the user through manually.

Core thesis (Shapiro): Large speculators (hedge funds, CTAs, momentum traders) tend to be maximally positioned at trend exhaustion, not trend inception. When they are already crowded onto one side, the next big move is statistically more likely to run them over than to reward them further. Fade the speculators, not the commercials (commercials hedge for structural reasons and are not a crowd-psychology signal).

When to Use This Skill

English:

  • "What markets are the speculators crowded into right now?"
  • "Run a COT report analysis" / "Show me COT positioning extremes"
  • "Is anyone 'trapped' in gold / the dollar / bonds right now?"
  • User wants to find contrarian futures setups
  • User asks for a Jason Shapiro-style COT screen

Japanese:

  • 「COTレポートで買われすぎ・売られすぎのポジションを調べて」
  • 「投機筋が偏っている市場は?」
  • 「ジェイソン・シャピロ式の逆張り分析をして」

Do NOT use when:

  • The user wants a trade signal right now — crowding alone is not actionable; see Guardrails below
  • The user is asking about individual equities — COT reports cover CFTC futures markets only (indices, rates, FX, metals, energy, agri, crypto), not single stocks

Prerequisites

  • FMP API Key: Required. Set FMP_API_KEY environment variable or pass --api-key. COT endpoints require an FMP Premium+ plan — a free-tier key will not have access.
  • Python 3.9+ with requests installed.
  • API Budget: One call per market (23 for --core, up to ~65 for the full universe), plus one call for the market list when neither --symbols nor --core is given.

Read the full file on GitHub · 166 lines

Changes

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.

  1. 15d ago Changed · +2 lines 58df17a493e0
  2. 1mo ago First seen · 164 lines · 167 tokens per session scan A 3f3300b1d5b8

Subscribe to this mod's changes

cot-contrarian-detector is a skill published in the GitHub repository tradermonty/claude-trading-skills (3,373 stars, last pushed yesterday), licensed MIT. It adds 167 tokens to every session and 2,021 once invoked, about $0.0007 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.

Related

Other skills, from other repositories

sector-rotation

An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.

HKUDS/Vibe-Trading · 39 tokens

twitter-reader

Read Twitter/X for financial research through opencli: the user's home timeline, tweet search, trending topics, bookmarks, a user's recent tweets, threads, articles, profiles, followers and following, and notifications. Use this skill whenever the user wants to know what people are saying on Twitter/X or fintwit about…

himself65/finance-skills · 110 tokens

energy-procurement

Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis…

hashgraph-online/awesome-codex-plugins · 93 tokens

airdrop-hunting-guide

Guide to finding and qualifying for crypto airdrops — eligibility criteria, farming strategies, on-chain activity requirements, Sybil detection avoidance, and tracking tools. Use when helping users understand airdrops, check eligibility, or plan participation strategies.

nirholas/three.ws · 54 tokens

china-portfolio-monitoring

A monitoring framework for tracking the financial results, operating measures, strategic milestones, and risks of companies held by China-focused private-equity funds. It uses measures such as revenue growth, margins, debt, cash flow, and return on equity.

jwangkun/claude-for-financial-services-cn · 86 tokens

multi-expert-analyzer

A method for examining complicated questions through several expert viewpoints, followed by fact-checking and criticism.

digoal/blog · 292 tokens