CFTC Commitments of Traders - Managed Money Positioning Across Commodities

What the COT report measures

The Commodity Futures Trading Commission (CFTC) requires large traders in US futures markets to report their positions weekly. Each Tuesday’s positions are aggregated by trader category and published the following Friday as the Commitments of Traders (COT) report. The result is a weekly snapshot of how different types of market participants are positioned across US commodity futures.

Since 2009, the CFTC has published the “Disaggregated COT” format, which divides what was previously a single “non-commercial” category into more analytically useful groups (CFTC Disaggregated Explanatory Notes 2009):

Producer/Merchant/Processor/User - entities that produce, handle, or consume the physical commodity and use futures to hedge price exposure
Swap Dealers - financial intermediaries managing commodity swaps
Managed Money - commodity trading advisors (CTAs), hedge funds, and commodity pools systematically taking directional views
Other Reportables - large reportable traders not classified above

MSCIP’s COT panel focuses on the Managed Money category and, for divergence analysis, Producer/Merchant/Processor/User (commercials).

Why managed money positioning matters

Managed money participants represent the speculative community - traders who are not in the business of producing or consuming the underlying commodity, but who are expressing a directional view on price. When managed money is heavily net long, the speculative community is collectively bullish on that commodity. When heavily net short, collectively bearish.

Extreme positioning in managed money is often informative. Near historical highs (95th percentile or above over the prior 5 years), the speculative community is as bullish as it has ever been - which sometimes coincides with continued price strength on momentum, and sometimes coincides with exhaustion before a reversal. The historical literature is mixed on which interpretation prevails, and MSCIP does not make a claim either way.

What MSCIP shows: current positioning, how unusual it is relative to history (3-year and 5-year percentiles), the week-over-week change, and whether commercials are positioned significantly opposite to speculators.

MSCIP’s v1 contract panel

MSCIP tracks 10 contracts, aligned with its existing commodity route coverage:

Energy (3 contracts)

WTI Light Sweet Crude Oil - NYMEX (CL)
Brent Crude Oil Last Day - NYMEX proxy for ICE Brent
Natural Gas Henry Hub - NYMEX (NG)

Agriculture (4 contracts)

Corn - CBOT (ZC)
Soybeans - CBOT (ZS)
Wheat Soft Red Winter - CBOT (ZW)
Sugar No. 11 - ICE (SB)

Metals (3 contracts)

Copper Grade #1 - COMEX (HG)
Gold - COMEX (GC)
Silver - COMEX (SI)

Contracts were selected to align with MSCIP’s existing route coverage across agriculture, energy, and metals. The panel is intentionally limited to 10 contracts at v1 to ensure analytical quality over quantity. Additional contracts - cotton, coffee, cocoa, livestock, heating oil, aluminum, palladium - are deferred to v2 post-launch if subscribers find the panel valuable.

Percentile rankings

For each contract, MSCIP computes the percentile rank of the current managed money net position (long minus short) within the 3-year and 5-year historical distribution. A 5-year percentile of 95 means the current net long position is higher than 95% of all weekly observations in the prior 5 years.

Percentile rankings normalize across contracts and time: a “95th percentile in corn” and a “95th percentile in crude oil” are directly comparable in terms of historical extremity, even though the raw position sizes differ by a factor of ten.

Panel aggregates show the average managed money percentile by sector (energy, agriculture, metals), providing a quick read on whether speculative positioning is broadly elevated or subdued across a commodity class.

The commercials divergence signal

The Producer/Merchant/Processor/User category (“commercials”) represents entities with physical commodity exposure - grain elevators, oil refiners, mining companies - who use futures to hedge. They are often positioned opposite to managed money: when specs are long, commercials are typically short (hedging future production or inventory).

When both groups are at historical extremes simultaneously - specs very long AND commercials very short, or vice versa - MSCIP flags this as COMMS_DIVERGENCE. The academic literature suggests that in some cases, commercials are the “smart money” with informational advantages about physical market conditions (De Roon, Nijman, and Veld 2000 hedging pressure framework), while managed money may be extrapolating trends (Hong and Yogo 2012 open interest momentum). However, this is not a reliable trading rule, and MSCIP makes no predictive claim from the divergence flag.

Divergence flags applied per contract:

NORMAL - managed money net percentile within the 25–75 range
SPECS_HIGH_LONG - managed money net 3yr percentile above 85
SPECS_HIGH_SHORT - managed money net 3yr percentile below 15
COMMS_DIVERGENCE - specs above 85th percentile while commercials below 15th (or vice versa)
INSUFFICIENT_HISTORY - fewer than 12 weeks of data (startup or gap)

Per §24.7 cross-commodity discipline - what positioning is and isn’t

Managed money positioning is descriptive of past trader behavior. It describes where speculators currently stand, not where prices are going.

MSCIP does not assert:

“Managed money net long at 95th percentile = bullish price signal”
“Extreme positioning predicts price reversal”
“Cross-commodity pattern (specs long across agriculture) = broad commodity bull”

MSCIP shows positioning facts. Subscribers form their own conclusions by combining COT data with their analysis of supply/demand fundamentals, price momentum, and other factors.

Per §24.7 cross-commodity discipline, pan-commodity positioning panels carry particular risk of narrative drift - the temptation to synthesize a single “commodity complex” narrative from individually valid data points. Each contract’s positioning should be interpreted in the context of that contract’s specific market, not aggregated into a macro thesis without additional justification.

All COT content carries TREND · v1 maturity per MSCIP’s forecast maturity standards. The §24.1 two-benchmark gate is not applicable - COT is descriptive positioning data, not a price forecast.

Data source and timing

CFTC publishes COT reports weekly, typically on Fridays at approximately 3:30 PM Eastern Time. The report reflects positions as of the prior Tuesday. MSCIP polls for new data at 21:00 UTC Friday, with Saturday and Monday retries to handle occasional publication delays.

Data lag: subscribers see positioning data that is 3–7 days old (Tuesday data published Friday, retrieved by MSCIP Friday evening).

Coverage: CFTC Disaggregated COT covers US futures exchanges (CFTC-regulated). ICE Brent is represented via the NYMEX financial proxy; LME copper is not covered (LME is UK-regulated under FCA, not included in US CFTC reporting). COMEX copper (HG) is the US proxy.

Government shutdown gaps: During the US government shutdown of October–November 2025, CFTC publication was delayed for several weeks. MSCIP detects publication gaps and displays the last available data with a staleness flag rather than showing missing data.

Historical depth: MSCIP has 300 weeks (approximately 6 years) of history per contract to support percentile calculations and chart rendering.

Limitations

Tuesday-to-Friday staleness. Every COT record is 3 days old at publication. Fast-moving markets may have substantially changed positioning between Tuesday cut-off and Friday release.

Managed money is heterogeneous. The category includes discretionary macro funds, systematic trend followers (CTAs), and commodity pools with very different strategies. Aggregate positioning combines these; a net long in a contract could reflect strong directional conviction OR moderate conviction from many participants.

US futures only. The CFTC Disaggregated COT covers US-regulated exchanges. For commodities with significant non-US futures liquidity (LME metals, ICE Europe), the COMEX/NYMEX data captures part of the picture.

Percentile interpretation depends on the reference period. A 95th-percentile position over 3 years may be a 70th-percentile position over 10 years if the prior 3-year period was structurally unusual (e.g., post-COVID commodity run). MSCIP shows both 3-year and 5-year percentiles for this reason.

Data sources

CFTC Disaggregated Commitments of Traders Report - Explanatory Notes: cftc.gov/MarketReports/CommitmentsofTraders/index.htm