cot-contrarian-detector SKILL.md skillA

cot-contrarian-detector from tradermonty/claude-trading-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add tradermonty/claude-trading-skills/cot-contrarian-detector@git:20261107.6272581

Pins git:20261107.6272581 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
tradermonty/claude-trading-skills
Path
skills/cot-contrarian-detector/SKILL.md
Versions recorded
3
Latest version
git:20261107.6272581, committed Nov 7, 2026
First version recorded
Jul 13, 2026
Size
8,653 bytes
Repository stars
3,682
License
MIT

Detect crowded speculative positioning in CFTC futures markets (COT report analysis) to find contrarian setups using Jason Shapiro's methodology. Screens large-speculator ("non-commercial") net positioning across 65 futures markets (indices, rates, FX, metals, energy, crypto) via the FMP Commitment of Traders API, computes a 3-year and 26-week COT Index per market, and classifies extremes as CROWDED_LONG / CROWDED_SHORT. Use when the user asks about COT report analysis, crowded positioning…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 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
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add tradermonty/claude-trading-skills/cot-contrarian-detector@sha256:32e666f68edef7ac

The line at the top of this page pins the label git:20261107.6272581, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_4vwhk2sxthu3j6oz.svg)](https://markdownregistry.com/a/art_4vwhk2sxthu3j6oz)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Jul 13, 2026 and Nov 7, 2026, about one every 59 days.

versioncommittedcommitsizeaudit
git:20261107.6272581 latest2026-11-07 6272581 8,653 BA view · diff
git:20261012.fac23be2026-10-12 fac23be 8,194 BA view · diff
git:20260713.85aa3742026-07-13 85aa374 7,976 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8653 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

tradermonty/claude-trading-skills · 3,682 stars · license MIT · pushed 2026-11-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_4vwhk2sxthu3j6oz
GET https://markdownregistry.com/api/v1/resolve?ref=tradermonty/claude-trading-skills/cot-contrarian-detector
GET https://markdownregistry.com/api/v1/blob/32e666f68edef7aca328e26cf9b337eb770e4a3f5ed24d65b0914efaf30388cb

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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