COT Report

What Is the COT Report?

The Commitment of Traders (COT) report is a weekly data release from the U.S. Commodity Futures Trading Commission (CFTC) that reveals the aggregate positioning of different trader categories across all major futures markets, from crude oil and gold to S&P 500 futures, Treasury bonds, currencies, and Bitcoin. Published every Friday at 3:30 PM ET (reflecting positions held as of the prior Tuesday's close), it is the only publicly available, regulated source of institutional positioning data in futures markets.

For macro traders and commodity investors, the COT report is arguably the single most valuable free dataset in existence. It tells you what the "smart money" (commercial hedgers with direct industry knowledge) and the "hot money" (hedge funds and speculators whose crowded positions create reversal risk) are actually doing, not what they say on TV, but where their capital is deployed. Extreme positioning readings have preceded many of the largest market reversals in history.

The Report Formats: Legacy, Disaggregated, and TFF

The CFTC publishes three distinct COT formats, each serving different analytical purposes:

Legacy COT (Since 1962)

The original format with the longest history. Three categories:

Disaggregated COT (Since 2009)

Provides granular breakdown for physical commodity markets:

Traders in Financial Futures (TFF)

Covers financial futures (equity indices, interest rates, currencies):

Reading the Data: Net Positioning and Percentiles

Net Speculative Position

The most commonly cited COT metric: longs minus shorts for the speculative category (Non-Commercial in Legacy, Managed Money in Disaggregated, Leveraged Funds in TFF).

• Large net long = Speculators are heavily bullish → crowded trade, reversal risk elevated
• Large net short = Speculators are heavily bearish → crowded short, squeeze risk elevated
• Near zero = Neutral positioning → no crowding signal

Percentile Rankings: The Key to Interpretation

Raw contract counts are misleading because market size changes over time. The proper way to interpret COT data is through percentile rankings relative to a historical lookback:

Percentile = (Current Net Position – Minimum) / (Maximum – Minimum) × 100

Using a 3-year lookback is standard:

Commercial vs. Speculator Divergence

One of the most powerful COT signals: when commercials (who have physical market knowledge) are positioned opposite to speculators at extremes:

• Commercials extreme net long + Speculators extreme net short = Strong buy signal. Commercials are accumulating at prices where speculators are aggressively short.
• Commercials extreme net short + Speculators extreme net long = Strong sell signal. Commercials are hedging aggressively (expecting lower prices) while speculators are piling in long.

This divergence preceded the 2018 crude oil crash, the 2018 gold bottom, and the 2020 natural gas bottom.

Historical Case Studies: COT Signals That Called Major Turns

Crude Oil Top, October 2018

The setup: OPEC+ production cuts and Iranian sanctions had fueled a speculative frenzy. Managed Money longs were at historically extreme levels. When Trump announced temporary Iran sanction waivers and OPEC signaled increased production, the crowded long position unwound violently.

Gold Bottom, August 2018

The exceptional rarity of Managed Money going net short gold, something that had essentially never happened in the Disaggregated report's history, made this one of the strongest contrarian signals ever generated by COT data.

US Dollar Top, January 2017

Non-commercial net long USD positioning reached 10-year extremes simultaneously across EUR/USD (record net short EUR), USD/JPY (record net long), and GBP/USD (record net short GBP). The DXY index peaked at 103.8 in January 2017 and declined 12% to 91.4 over the following year, one of the largest dollar bear moves of the decade.

Treasury Bond Bottom, October 2023

The Treasury short was one of the most crowded trades of 2023. When the Fed signaled a pivot in December 2023, the unwind was explosive.

Key Markets and What to Watch

Commodities

Financial Futures

The COT Trading Framework

Step 1: Weekly Positioning Scan

Every Friday after the COT release, check percentile rankings for your key markets. Flag any market where speculative positioning is above the 85th or below the 15th percentile.

Step 2: Divergence Detection

For flagged markets, check whether positioning is confirming or diverging from price action:

Step 3: Combine with Technical and Fundamental Triggers

COT data identifies where the market is vulnerable, not when it will turn. Combine positioning extremes with:

• Technical support/resistance levels
• Fundamental catalysts (OPEC meeting, Fed decision, earnings)
• Volatility compression (low VIX + extreme positioning = coiled spring)

Step 4: Size According to Signal Strength

Limitations and Pitfalls

1. 3-day lag: Positions are captured Tuesday, published Friday. In fast-moving markets, the data can be stale by publication
2. Aggregate data: A net position of zero could mean equal longs and shorts, or no positions at all. The gross long and short figures provide more context
3. Reporting thresholds: Not all positions are captured. OTC swaps (a massive market) are only partially reflected through swap dealer positions
4. Index fund distortion: Commodity index funds (tracking the Bloomberg Commodity Index or S&P GSCI) mechanically hold long positions regardless of outlook, inflating the "speculative long" reading in some commodity markets
5. New instruments: As new futures contracts launch (micro E-mini, Bitcoin futures) and gain volume, historical comparisons become less reliable
6. Self-fulfilling and self-defeating: As more traders use COT data, extreme signals may trigger earlier reversals, or the market may "know" the signal is coming and front-run it