Individual skill

cot-contrarian-detector

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, "who is trapped", speculative positioning extremes, contrarian futures setups, or wants to run Jason Shapiro-style analysis. This skill automates crowding DETECTION only (step 1 of 5) — it does not generate trade signals by itself.

skills/cot-contrarian-detector/SKILL.md

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Nov 12, 2026
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# 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
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