Every Friday afternoon, the Commodity Futures Trading Commission (CFTC) publishes a dataset that reveals how different types of traders are positioned in every major futures market. This is the Commitments of Traders (COT) report — and it’s one of the few public windows into institutional positioning.
How the COT Report Works
The CFTC requires large traders in US futures markets to report their positions. The agency aggregates these into categories and publishes the data weekly (as of Tuesday’s close, released Friday).
Trader Categories
| Category | Who They Are | What Their Positions Mean |
|---|---|---|
| Commercials | Producers, consumers, hedgers with physical exposure | Hedging business risk — often contrarian to price trends |
| Large Speculators | Hedge funds, CTAs, managed money | Directional bets — trend-following or mean-reverting |
| Small Speculators | Non-reportable traders (below reporting threshold) | Often retail — historically the least informed group |
The key dynamic is between commercials and speculators. Commercials hedge — they sell futures when they produce the underlying and buy when they consume it. Speculators take directional bets based on their market views.
What the COT Report Covers
The report covers every regulated US futures market:
| Asset Class | Examples |
|---|---|
| Equity Indices | S&P 500, NASDAQ 100, Dow Jones, Russell 2000 |
| Energy | Crude oil, natural gas, heating oil, gasoline |
| Metals | Gold, silver, copper, platinum, palladium |
| Currencies | EUR, GBP, JPY, CHF, AUD, CAD, MXN |
| Agriculture | Corn, wheat, soybeans, cotton, sugar, coffee, cocoa |
| Fixed Income | Treasury bonds, notes, Eurodollar |
| Crypto | CME Bitcoin futures |
How Traders Use COT Data
1. Extreme Positioning as a Contrarian Signal
When speculator positioning reaches historical extremes, it often precedes reversals:
| Signal | Interpretation |
|---|---|
| Speculators at record net long | Crowded long trade — reversal risk increases |
| Speculators at record net short | Crowded short trade — short squeeze potential |
| Rapid unwind of positions | Liquidation in progress — trend exhaustion |
This works because extreme positioning means there are few new buyers (or sellers) left to push the trend further.
2. Commercial-Speculator Divergence
When commercials and speculators take opposite sides, pay attention:
- Commercials net long + speculators net short — Commercials (who know the physical market) are buying while speculators are selling. Historically bullish.
- Commercials net short + speculators net long — The opposite. Commercials are hedging production (selling) while speculators are chasing the trend. Caution warranted.
3. Week-over-Week Changes
The absolute level matters, but the rate of change can be even more informative:
- Large weekly shifts indicate a catalyst — something changed in one week to move significant capital
- Gradual buildup shows conviction — positions are being established over time
- Sudden reversal after gradual buildup suggests the thesis has broken
COT Data in FinBrain Terminal
The FinBrain Terminal displays COT data across multiple pages:
- Intelligence page — Full COT dataset across all six asset groups (indices, energy, metals, forex, agriculture, bonds) with open interest, net positions, week-over-week changes, and speculator bias bars
- Commodities page — Commodity-specific COT data for energy, metals, and agriculture
- Currencies page — FX-specific COT positioning
- Crypto page — CME Bitcoin futures positioning
Each table shows:
| Column | Description |
|---|---|
| Contract | Futures contract name |
| Open Interest | Total outstanding contracts |
| Speculator Net | Net long/short position of managed money |
| Commercial Net | Net position of hedgers |
| WoW Change | Week-over-week change in speculator positioning |
| Spec Bias | Visual bar showing bullish or bearish lean |
Limitations
- Delayed data — The report reflects Tuesday’s positions but isn’t published until Friday. In fast-moving markets, positions may have already changed.
- Aggregated categories — You see category totals, not individual fund positions. A hedge fund could be running a pairs trade that nets to zero.
- US futures only — The COT report covers US-regulated futures markets. It doesn’t capture OTC derivatives, spot positions, or non-US exchanges.
- Weekly frequency — Daily positioning changes aren’t visible. A fund could establish and close a position between reporting dates.
Despite these limitations, the COT report remains one of the most useful free datasets for understanding institutional sentiment across asset classes.