Trading and investing

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. Trading analysis or dry-run only; live data and broker access require separately available host tools.

Works with the context you provideVersion 1.0.0

COT Contrarian Detector

First read and apply `references/chiefos-runtime.md`. Choose the source method below that matches the requested outcome and available evidence; do not execute every alternate provider path.

tradermonty: cot-contrarian-detector

Load `references/tradermonty/cot-contrarian-detector/SKILL.md` for the complete method, required inputs, ordered decisions, and output contract. Resolve its local resources beneath the same directory.

For upstream sibling names, resolve the canonical skill and source entrypoint with `references/source-routing.json`. Load sibling resources from that canonical skill; do not assume the original directory name is independently installed.