The COT report explained: how to read futures positioning

The Commitments of Traders report, usually called the COT report, is published by the Commodity Futures Trading Commission. It breaks down open positions in futures markets, and in some reports futures and options combined, by type of trader. Market commentators often cite it to say a market is "crowded" or that "speculators are bullish". The data is real and useful, but those conclusions often go further than the report can support.

What the report measures

The COT report shows, for each covered market, how many long and short contracts were held by different categories of reportable traders. It describes positions as of Tuesday, and the CFTC usually publishes it on Friday. So by the time you read it, the snapshot is already a few days old.

There are several versions. The legacy report splits traders into commercial and noncommercial groups. The disaggregated report, for commodities, uses categories such as producer and merchant, swap dealers, managed money and other reportables. The traders in financial futures report, for financial contracts, uses dealers, asset managers and leveraged funds. Pick one report type and one trader category and stay consistent.

The basic calculations

Net position = long contracts − short contracts

Because the size of a market changes over time, compare net positions as a share of open interest, the total number of contracts outstanding:

Net as % of open interest = net position ÷ open interest × 100

An illustrative example with invented numbers:

Look at gross longs and shorts separately too. The same increase in a net long position can come from new buying or from short sellers closing positions, and those are different stories.

Is positioning extreme?

A chart that "looks high" is not evidence. If you want to say positioning is extreme, define a historical window, compare against the same contract and category, and state where the current reading sits within that range. Note any changes in contract specifications or report categories over the period, which can make old and new readings less comparable.

Finally, keep the market definition explicit. A crude oil contract on one exchange and a related contract on another are separate lines in the report, and adding them together requires care about contract size and units.

What the report cannot tell you

• Why traders hold a position. A commercial short may be a hedge against physical inventory, not a bet on falling prices.
• What happened since Tuesday. Markets can move a great deal between the snapshot and the publication.
• Positions in every venue. It covers reportable positions in the markets it reports on, not all exposure everywhere.

Use it as context for a thesis

Positioning works best as one piece of evidence alongside fundamentals and prices. If your research says supply is tightening and the price is rising while a large category of traders is still positioned the other way, that is interesting context worth noting. It is not proof that the crowd is wrong. State what the measure shows, why it might matter, and what it cannot establish. Our guide on building an investment thesis shows where context like this fits, and our list of official data sources includes the CFTC alongside the other agencies.

Common mistakes when citing the COT report

• Mixing report types. Comparing a managed money figure from one report with a noncommercial figure from another produces a meaningless chart.
• Calling stale data "today's positioning". Always say "as of Tuesday" and give the date.
• Reading a hedge as a forecast. Producers and merchants often hold short futures to protect the value of inventory they own. Their short position says more about their business than about their price view.
• Ignoring open interest. A record net position in contracts may be ordinary once the market's growth is taken into account.
• Treating one week as a trend. Look at several weeks of changes before describing a shift.

A simple weekly routine

1. Pick the contracts that matter to your research and one trader category for each.
2. Each Friday, record long, short, net and open interest with both the observation date and the publication date.
3. Calculate net as a percentage of open interest and the weekly change.
4. Write one sentence: what changed, and whether it agrees with your thesis.

Positioning, sentiment and fund flows each get a full lesson in our ebook How to Research Like a Wall Street Analyst, with worksheets for keeping the data consistent over time.