Futures & Market Research Glossary

Tick size is the smallest permitted price increment in which a particular futures or options contract can trade. Exchanges specify it in the contract terms, commonly as the minimum price fluctuation or minimum price increment. It defines the contract’s price grid: if the tick size is 0.25 index points, executable prices normally move in 0.25-point steps rather than arbitrary decimals.

Tick size is not tick value

Tick size is expressed in the contract’s quoted price units; tick value is the monetary change in contract value associated with a one-tick move in one contract. For many linear futures contracts, tick value can be derived by multiplying the tick size by the monetary value of one quoted price unit, although the exact calculation depends on the contract’s quotation convention. Two contracts can therefore share the same tick size but have different tick values because their multipliers or units differ.

The distinction matters because a one-tick bid-ask spread is not equally expensive across products. Order-book price resolution is governed by tick size, while the cash impact of moving one price increment is governed by tick value. A finer tick permits more granular quoting, but it does not by itself guarantee tighter effective spreads or greater liquidity.

The minimum can be conditional

A common simplification is to treat each contract as having one permanent tick size. Exchange rules can be more specific. The minimum increment may differ by transaction type, spread structure, option premium level, or proximity to expiration, and exchanges may amend it over time. Researchers should therefore use the specification applicable to the instrument, trading method and historical date being studied rather than hard-code a timeless constant.

This becomes important in backtesting and execution models. If the permitted price grid changed, applying today’s tick to older data can admit prices that were not executable at the time or exclude prices that were, distort slippage assumptions or misstate the smallest possible mark-to-market change. Tick size is therefore both a contract specification and a market-microstructure constraint. It tells you how finely prices may be expressed; it does not measure the contract’s notional exposure, predict price direction or cap the market’s total move.

The Trade-Weighted U.S. Dollar is a measure of the dollar’s exchange value against a basket of foreign currencies in which each currency receives a weight intended to reflect its economic importance in U.S. trade. Unlike a bilateral exchange rate, it summarizes movements against multiple currencies at once. It is not a single universally standardized index: currency coverage, weights and calculation methods can differ across series, so the exact measure matters.

The Federal Reserve’s Broad Dollar Index is a prominent implementation. Its currency weights are based on U.S. bilateral trade in goods and services and change as trading relationships evolve. Goods trade in oil, gold and military equipment is excluded from the weighting calculation, and the set of economies represented in the index can be reviewed periodically. Daily index changes are calculated as a geometrically weighted combination of bilateral dollar exchange-rate changes. A higher Federal Reserve index level represents a stronger dollar against the weighted basket.

Why the weights matter

A trade-weighted index does not give every currency equal influence. A large dollar move against a lightly weighted currency may contribute less to the aggregate than a much smaller move against a heavily weighted trading partner. The headline index can therefore conceal very different underlying currency patterns. Because trade relationships also change over time, the effective exposure represented by the index is not permanently fixed.

Nominal and real measures answer different questions

A nominal trade-weighted index combines observed exchange rates. A real index additionally adjusts for relative price movements; the Federal Reserve’s real dollar indexes use consumer price indexes. Real measures are therefore more appropriate when the research question concerns changes in relative prices or international competitiveness rather than exchange rates alone.

This construction creates an important research boundary. A trade-weighted dollar index measures aggregate exchange value; it does not by itself show that the dollar is overvalued or undervalued, identify why it moved, or forecast its next direction. Different dollar indexes can also produce different histories because of their currency baskets, weighting schemes, price adjustments and methodology changes. Historical or cross-asset research should therefore identify the exact series and methodology rather than treating every “dollar index” as interchangeable.

Trader concentration describes how much of a futures market’s open interest is held by its largest reportable traders. In CFTC Commitments of Traders (COT) long-format data, concentration is published as the percentage of open interest held by the largest four and largest eight reportable traders, separately for long and short exposure and calculated on both gross and net position bases. It is a concentration measure, not a trader classification: the calculation measures the scale of the largest reportable positions rather than providing a subtotal for a particular COT trader category.

Gross and net concentration answer different questions

Gross concentration measures large long and short positions before offsetting equal long and short positions within each trader. Net concentration first offsets those equal positions and measures the remaining net long or net short exposure. A trader with a large balanced book can therefore rank among the largest gross longs and gross shorts yet become much less important in the net calculation. A wide gap between gross and net concentration can indicate substantial two-sided positioning among large reportable traders. A high net concentration ratio, by contrast, means that the residual net positions of a small number of reportable traders amount to a large percentage of total open interest. Neither measure identifies why those traders hold the positions, and neither establishes a bullish or bearish market view.

What changes the ratio

Because every concentration ratio uses open interest as its denominator, the percentage can change through the large traders’ positions, total open interest, or both. A rising ratio therefore does not necessarily mean that the largest traders added contracts; open interest may instead have fallen around relatively stable large-trader positions. The four-or-less and eight-or-less measures add another useful distinction. If the eight-or-less ratio is only slightly above the four-or-less ratio on the same side and calculation basis, expanding the calculation to the broader group of large traders adds relatively little to the measured share. A wider gap means that the additional large traders contribute more materially to concentration.

Report scope also matters. Concentration is a long-format COT feature. Legacy and Disaggregated COT reports are available in long and short formats, Traders in Financial Futures (TFF) is long-format only, and the Supplemental COT Report is short-format only and therefore does not publish concentration ratios. Futures Only and Futures-and-Options-Combined concentration figures are not directly interchangeable because combined reports incorporate delta-adjusted option positions alongside futures. In agricultural markets where the long report separates All, Old and Other crop-year open interest, that scope must also be held consistent when comparing concentration observations. The underlying COT observations usually describe Tuesday positions and are released at 3:30 p.m. U.S. Eastern time on Friday; federal holidays may delay publication. For reproducible research, keep the report format, gross-versus-net basis, long-versus-short side and applicable open-interest scope consistent. Trader concentration is therefore most useful as a market-structure measure of how much exposure is concentrated among a few large reportable accounts—not as a standalone trading signal or evidence that those accounts share the same strategy.

Traders in Financial Futures (TFF) is a weekly Commitments of Traders report family published by the U.S. Commodity Futures Trading Commission for financial contracts. It divides reportable open interest into four trader classifications: Dealer/Intermediary, Asset Manager/Institutional, Leveraged Funds, and Other Reportables. Nonreportable Positions are shown separately and are not a fifth TFF trader category. The important distinction is that TFF uses its own classification framework rather than subdividing the Commercial and Non-Commercial categories of the Legacy COT Report.

What the classifications actually mean

TFF organizes reportable traders by their functional role and predominant business purpose. Dealer/Intermediary represents the sell side, including firms that intermediate client activity and manage risks associated with financial products. Asset Manager/Institutional includes institutional investors and portfolio managers; Leveraged Funds typically includes hedge funds, commodity trading advisors, commodity pool operators and other leveraged money-management businesses; Other Reportables is the residual reportable category for traders not placed in the first three groups. Under current CFTC methodology, a trader classified for TFF is placed in the same category across commodities.

The categories classify traders, not the motive behind every position they hold. Classification is based on business-purpose information reported on Form 40 and reviewed by CFTC staff for reasonableness, but the Commission does not know the specific reason for every position. A Leveraged Fund position, for example, can reflect outright risk-taking, arbitrage or hedging of another exposure. Category membership therefore should not be translated mechanically into “speculative,” “hedging,” bullish or bearish intent.

How the report should be read

TFF generally describes Tuesday open interest and is released on Friday at 3:30 p.m. U.S. Eastern Time; holidays can alter the schedule. A contract market appears in COT reporting when at least 20 reportable traders hold positions at or above the applicable reporting levels. TFF is published in Futures Only and Futures and Options Combined formats. In the combined report, options are converted to futures-equivalent positions using delta factors. All four reportable categories show long, short and spreading positions. Spreading is a computed amount of offsetting long and short exposure; importantly, inter-market spreads are not included in that calculation.

TFF is not a disaggregation of Legacy COT data. CFTC documentation states that traders placed in any of the four TFF categories may come from either the Legacy Commercial or Non-Commercial group, so Dealer/Intermediary should not be treated as synonymous with Commercial and Leveraged Funds should not be treated as synonymous with Non-Commercial. Historical research also requires care: when the CFTC constructed TFF history back to June 2006, it noted that it did not maintain a history of large-trader classifications and therefore used then-recent classifications to backcast earlier positions, reducing classification accuracy farther back in the series. TFF is consequently most useful as a structured view of who holds reportable financial-futures exposure, not as a standalone directional signal.

In futures and listed options markets, trading volume is the number of contracts transacted during a specified period, such as a minute, trading session or day. A matched transaction involving one contract adds one contract to volume; the buyer and seller are not counted as two separate contracts. Volume therefore measures completed trading activity over the chosen interval.

What volume records—and what it does not

Volume is a flow measure, whereas open interest is a stock measure. Open interest counts contracts that remain outstanding. If both counterparties to a trade are opening positions, open interest increases; if both are closing positions, it decreases; if one opens while the other closes, it is unchanged. Volume increases in all three cases. Raw volume therefore cannot reveal whether market participants are collectively adding or removing outstanding positions.

High volume is also not inherently bullish or bearish. Every completed trade has both a buyer and a seller, and the same increase in activity can arise from different combinations of positioning, liquidation, hedging or other transactions. Directional interpretation requires information beyond raw volume. Volume can also be associated with liquidity without being equivalent to it: bid–ask spreads, order-book depth and the size that can be executed without materially moving price describe dimensions that a contract count alone does not capture.

The contract month matters

In futures markets, activity can migrate from an expiring contract into a deferred contract during the roll. A market may therefore remain heavily traded in aggregate while the maturity in which activity is concentrated changes materially. Comparisons across different futures products also require scale context: the same number of contracts traded can represent very different economic exposure because contract sizes and underlying prices differ.

Data vintage can matter as well. CME Group, for example, labels its end-of-day Daily Volume and Open Interest report preliminary and releases official data in the Daily Bulletin the following morning; preliminary figures may differ from the final report. Point-in-time research and backtests should therefore use a consistent volume-data vintage.

Trading volume is most useful as evidence of where and when transactions are occurring. It becomes misleading when contract turnover is treated by itself as a measure of directional conviction, outstanding exposure or executable liquidity.