The answer

What the COT report is (answer first)

The COT report (Commitments of Traders) is a weekly statistic published by the U.S. Commodity Futures Trading Commission (CFTC) that aggregates the open positions in a covered futures market by trader category. For markets that meet the reporting thresholds — gold, crude oil, currencies, equity indices, U.S. Treasuries and more — it shows, by category, how much long and short exposure large participants hold. The first thing to internalize is that COT is a statistic capturing the distribution of market positioning; it is not a price forecast or a trading signal.

Using COT as nothing more than “an indicator that tracks the speculative net position” throws away most of the information. What you should actually read is the structure: for a given report type and category, how Long, Short, Spreading and Open Interest are distributed, and how they changed from the prior week. The net value is only one slice of that. In this article we follow release timing, report types, the meaning of each column, and the calculation and limits of net, all with a single fictional dataset.

Every number, table and figure shown here is fictional educational data — not actual market values, forecasts or trading recommendations. The full picture of organizing COT alongside other macro inputs is set out in the Macro Analysis Guide, which connects COT, rates, real yields and EIA data into one research workflow. If you want the overview first, starting there makes this article’s role clearer.

Release timing

What date is published, and when

The first thing people misread in COT is the assumption that “a new number equals the state right now.” In fact, positions are normally compiled as of the close of trading on Tuesday and published on Friday of the same week. So the moment you see Friday’s number, its content is already a snapshot from several days earlier. COT is not a real-time feed; it is more accurate to treat it as a lagged statistic used for confirmation.

Furthermore, during weeks with a U.S. holiday, the observation date or the publication date can shift later. “Observed every Tuesday, published every Friday” is only a normal-week guideline, not a fixed schedule. The safe practice is to confirm the exact publication date each time on the official CFTC release schedule. The diagram below is a concept map of the flow from observation to publication in a normal week, along with the holiday exception.

This lag is not a flaw; it is the nature of the COT statistic. Rather than tying it directly to same-day price moves, the intended reading is as material for tracking the skew and change in positioning over several weeks to several months. The procedure for lining up multiple weeks to see change over time is covered in detail in the COT percentile and z-score article.

Report types

Do not confuse report types or Futures Only and Combined

COT comes in several “report types,” and even for the same market the categories are drawn differently. Here are the three main ones, organized by coverage and classification purpose. It is important to read the category names as defined rather than mechanically relabeling them as “smart money” or “hedgers.”

• Legacy: the longest-running breakdown. It splits participants into Commercial (classified as using futures to hedge in connection with the commodity) and Non-Commercial (other large participants, colloquially speculators), plus Nonreportable (small positions below the reporting threshold). It is provided broadly, from agricultural products to financial futures.
• Disaggregated: mainly for commodity markets, subdividing into Producer/Merchant/Processor/User, Swap Dealers, Managed Money and Other Reportables. Use it when you want a finer view of the hedging reality.
• Traders in Financial Futures (TFF): for financial futures such as currencies, rates and equity indices, classifying participants into Dealer/Intermediary, Asset Manager/Institutional, Leveraged Funds and Other Reportables.

On top of this, there are two series by aggregation coverage: Futures Only (futures alone) and Futures and Options Combined (futures plus options on a delta-adjusted basis). Even for the same market and same report type, Futures Only and Combined produce different numbers. The diagram below is a map for choosing the combination of report type (rows) and aggregation coverage (columns).

The point is simple. When comparing or following a time series, align all four of report type, market code, category and Futures Only versus Combined. Mixing one series with values from the other makes it look as if something changed when in reality it did not. The concrete steps for comparing multiple markets side by side are covered in the workbench section.

Column meanings

What Long, Short, Spreading and Open Interest mean

Each row of the COT lists several columns per trader category. Following the report specification, here is what the main columns mean.

• Long: the number of long (buy) contracts held by that category.
• Short: the number of short (sell) contracts held by that category.
• Spreading: the number of contracts treated as holding a long and a short simultaneously within the same category. These are directionless positions and appear on the Non-Commercial and Managed Money rows.
• Open Interest (OI): the total number of outstanding contracts not yet closed. It represents the size and depth of the whole market. Each category’s long and short totals are a part of the market-wide OI.
• Number of Traders: the number of participants meeting the reporting threshold in each category and on each side. If it is concentrated among few traders, concentration is high.
• Changes from Previous Report: the change in each column from the previous release. This is the column for reading the “movement,” not just the level.

The relationship between Long, Short, Spreading and total open interest (OI) can be shown as a composition, as below. The values are identical to the fictional example described later (Gold, Legacy, Non-Commercial, Futures Only).

What matters here is that Spreading is a directionless position, so it is not included in Net (Long − Short), yet it cannot be ignored when gauging market depth or that category’s degree of involvement. If you mistake the meaning of a column, the same number leads to an entirely different interpretation.

Formula and limits

Calculating the net position, and what the value alone hides

A net position is a category’s Long minus its Short. Below are the symbolic formulas, with variables, units, substitution, result and interpretation separated out.

The variables are defined as follows. Long is the number of long contracts, Short the number of short contracts and Open Interest the total number of outstanding contracts; all are measured in contracts. Substituting the fictional example (Gold, Legacy, Non-Commercial, Futures Only), this week’s net is 210,000 − 78,000 = +132,000 contracts (net long), the prior week’s net is 198,000 − 84,000 = +114,000 contracts, and the weekly change is 132,000 − 114,000 = +18,000 contracts (net long increased).

All the result lets you say is the fact that “Non-Commercial net long increased by 18,000 contracts from the prior week.” Do not leap from here to a price direction, because the net value alone does not reveal the size of total open interest, the amount of spreading, participant concentration or market size. For example, the same +132,000 contracts means something completely different in a market with 540,000 OI versus one with 2,000,000 OI. That is exactly why net must always be read together with OI shares, the weekly change and the long-run distribution.

Avoid assertions like “it is a leading indicator so it can predict” or “the net long is extreme, so sell.” Correlation does not prove causation, and an extreme value does not guarantee a reversal. Objectively measuring whether a value is extreme requires its placement within a long-run distribution (percentiles and z-scores) rather than a single level, and that is the remit of the MR03 article. This article covers the underlying structure and basic reading that come first.

A consistent fictional example

Reading multiple markets with one consistent fictional example

The table below is fictional educational data that imitates COT rows for five markets. Every row is standardized on Legacy, Non-Commercial and Futures Only, with Net = Long − Short and weekly change = this week’s Net − prior week’s Net. The Gold row uses the same values as the body text, figures and worksheet.

Several readings can be confirmed from this table. Gold’s net long (+132,000) increased from the prior week; crude remains net long but the weekly change is negative (the net long shrank); the yen stays net short; and the S&P 500 is slightly net short. However, category definitions, contract units and market codes can differ across currencies, metals, energy and equity indices. In practice, equity indices, currencies and U.S. Treasuries are usually read using the Traders in Financial Futures (TFF) categories rather than Legacy Non-Commercial. The table above is an educational simplification that presents one uniform way of reading; in real analysis you must select the appropriate report type and category for each market.

Also, even lining up net signs side by side, be careful that OI size differs by market. The S&P 500 has a large OI of 2,100,000 contracts, so its net of −15,000 is tiny relative to OI. Rather than comparing the magnitude of signs, it is safer to relativize by OI share first and then compare.

Educational mini tool

Basic COT worksheet

Enter Long, Short, Spreading, Open Interest, prior-week Long and prior-week Short, and the worksheet shows the net position, weekly change, each position’s OI share, and a reconciliation warning that checks the input total against OI. The defaults are this article’s fictional example (Gold, Legacy, Non-Commercial, Futures Only). This is an educational, simplified tool for confirming how to read COT; it simplifies overlaps between categories and the report specification. It cannot be used for trading decisions or forecasts.

Even with JavaScript disabled, the static results above for the default inputs (Long 210,000 / Short 78,000 / Spreading 42,000 / OI 540,000 / prior Long 198,000 / prior Short 84,000) are shown as-is. The formulas are “Net = Long − Short,” “Weekly change = this week’s Net − prior week’s Net” and “OI share = each position ÷ OI × 100.”

Limits of interpretation

Limits of interpretation: do not leap from a net value to price

Here are the typical mistakes to avoid when reading COT. They all share the same flaw: “drawing too strong a conclusion from a single number.”

• Misreading net value as a direction signal: net long or net short is a description of the distribution, not a price forecast. “Net long, so it will rise” and “inverse correlation, so sell” do not hold.
• Mixing up report type or coverage: Legacy Non-Commercial and TFF Leveraged Funds are different things. Futures Only and Combined are also different series. Comparing them mixed together misidentifies change.
• Relabeling category names: do not assume Non-Commercial is “smart money” or Commercial is “an always-right hedger.” The classification is a mechanical grouping based on filings.
• Ignoring the publication lag: Friday’s number reflects the state as of Tuesday. A very recent sharp move may not be reflected.
• Over-trusting a single extreme value: whether something is extreme can only be said after relativizing it within a long-run distribution. An extreme value does not guarantee a reversal.

Checking in four sequential steps helps prevent the leap. The next diagram is the flow of stepwise checks from the net value through to long-run placement.

Practical checklist

A practical checklist before you read COT

Confirming the following before you actually open a COT report reduces misreading.

1. Publication and observation dates: as of which day are the positions you are viewing? Confirm on the official CFTC schedule that they have not shifted for a holiday.
2. Report type: are you looking at Legacy, Disaggregated or TFF? Have you chosen the breakdown suited to the market?
3. Aggregation coverage: Futures Only or Futures and Options Combined? Are they mixed within the time series?
4. Market code and category: are you comparing the same market code and same category? Are the contract units aligned?
5. Level and change: are you viewing not just the net value but also OI shares, the weekly change and Number of Traders?
6. Long-run placement: are you judging extremes from a single number? Have you checked the placement within the long-run distribution (MR03)?
7. Restraint in interpretation: are you leaping from one statistic to a price direction or trading decision? Have you considered the disconfirming conditions?

Using the service

How to review COT in the Macro Research Workbench

Here is how to confirm the reading covered so far against real data. The free plan of SG Group’s Macro Research Workbench lets you review the following (check the plans page for the current coverage).

• Basic displays of Long / Short / Open Interest / net for COT across major currencies, metals, energy, equity indices and U.S. Treasuries.
• Basic indicators for relativizing the level, such as 52-week and 3-year percentiles.
• Cross-market review with report type, category and market aligned, plus source attribution and sharing.

Full long-run history, 5-year, 10-year and all-period percentiles, z-scores, 1/4/13/26-week change rankings, multi-market heatmaps, local watchlists and saving, and PDF / CSV / JSON / PNG / SVG exports become the domain of Pro and higher plans. Confirming the structure for free first, then considering a higher tier once a need arises, is a comfortable order of use. If you want to connect COT with other macro inputs (rates, real yields, inventories), the Macro Analysis Guide is the entry point for the overview. Related individual themes are explored in the Treasury yields and yield curve article, the interest rate differentials and FX article, the gold and real yields article and the EIA crude oil inventories article. The mindset for avoiding data revisions and look-ahead bias is covered in the macro regime analysis article.

Note that the Macro Research Workbench is for mechanically organizing and visualizing public macro data and data loaded locally on your device; lot, margin, trading cost, spread, swap, P/L, trading signals and personalized investment advice are out of scope. If your goal is position sizing or cost calculation, the FX and CFD lot-size calculation guide and the trading cost calculation guide apply; for verifying a strategy, the TradingView backtesting and robustness guide is relevant. You can browse all English learning articles from the article index.

Summary

Summary: how to read the COT report, and the next step

The heart of how to read the COT report is moving away from the mindset of “just tracking the speculative net position.” COT is a weekly statistic showing the distribution of positions by trader category; it is not a price forecast or a trading signal. When reading it, work on the assumption of the Tuesday-observed, Friday-published lag, align report type, market code, category and Futures Only versus Combined, and confirm net (Long − Short) together with OI shares and the weekly change.

Do not leap from the net value to a price direction, and leave the judgment of extremes to placement within the long-run distribution — that restraint is the single most important point for not misreading COT. Relativizing within the long-run distribution (percentiles and z-scores) and comparing position changes are covered concretely in the next article.

Related articles

Related reading

References

References (primary sources)

• U.S. CFTC — Commitments of Traders: https://www.cftc.gov/MarketReports/CommitmentsofTraders/index.htm (report entry point and list of report types)
• U.S. CFTC — COT Explanatory Notes: https://www.cftc.gov/MarketReports/CommitmentsofTraders/ExplanatoryNotes/index.htm (primary explanation of category definitions and column meanings)
• U.S. CFTC — COT Release Schedule: https://www.cftc.gov/MarketReports/CommitmentsofTraders/ReleaseSchedule/index.htm (confirm publication dates and holiday changes)

Confirm the latest wording for classification definitions, publication dates and methodology in the primary sources above. Page structures and URLs may change.