Market context
Cboe's 29 July Put/Call Split: 1.13 for Index Options, 0.77 for Equities
Cboe's 29 July 2026 C1 data showed different put/call ratios for index and equity options. Product mix, time window and contract weighting limit any sentiment claim.
Cboe's 29 July Put/Call Split: 1.13 for Index Options, 0.77 for Equities
The Cboe Options Exchange recorded two different put/call readings at 3:15 p.m. Central time on Wednesday, 29 July 2026. Index-option volume stood at 1,481,371 puts and 1,312,275 calls, a put/call ratio of 1.13. Equity-option volume stood at 2,003,032 puts and 2,595,867 calls, a ratio of 0.77.
Together, the two categories produced 3,484,403 puts, 3,908,142 calls and an aggregate ratio of 0.89. The Federal Reserve had released its policy statement earlier that afternoon, maintaining the federal funds target range at 3.5% to 3.75% on a 9-3 vote.
The three ratios describe contract counts on one exchange. They supply no vote on market direction. Index puts can be portfolio hedges, spread legs, opening purchases, closing purchases or part of exercise-related activity. Equity calls can carry equally varied purposes. The aggregate ratio compresses those differences into one division.
One session produced three readings
Cboe's current market-statistics page publishes timestamped call and put totals for the Cboe Options Exchange, also known as C1. The final populated row for 29 July was 3:15 p.m. Central.
| C1 category | Calls at 3:15 p.m. | Puts at 3:15 p.m. | Put/call ratio |
|---|---|---|---|
| Index options | 1,312,275 | 1,481,371 | 1.13 |
| Equity options | 2,595,867 | 2,003,032 | 0.77 |
| Total | 3,908,142 | 3,484,403 | 0.89 |
The total is a weighted combination of the two categories. Dividing total puts by total calls gives 0.8916, which Cboe displayed as 0.89. Taking a simple average of the unrounded index and equity ratios gives 0.95, a different answer. Product size determines how much each category contributes to the aggregate.
Product mix sets the first boundary for interpretation. A total ratio can move because index activity changes, equity activity changes or the mix between them changes. A headline ratio can therefore conceal opposing category readings.
Contract count is a thin measure of exposure
Imagine two shopping baskets with ten items each. One contains ten paper napkins. The other contains ten tins of food. The item count is equal, while the weight and cost are different.
A put/call ratio counts each contract once. It gives the same weight to a low-premium far-out-of-the-money option and a high-premium near-the-money option. It also ignores delta, days to expiration, strike, contract multiplier and the price of the underlying.
Consider a hypothetical equity-option tape with 1,000 puts traded at $0.20 and 800 calls traded at $2.00. The contract-count put/call ratio is 1.25. With a standard 100-share multiplier, gross traded premium is $20,000 for the puts and $160,000 for the calls. The premium ratio is 0.125.
Both calculations are model outputs from invented inputs. Gross premium remains an incomplete risk measure because it omits trade direction, delta, multi-leg context and opening or closing status. The example shows why a contract-count ratio and a dollar-weighted measure can tell different stories.
Model output: isolating the later window
The Cboe table showed cumulative counts at 1:00 p.m. Central, when the Federal Reserve statement was released at 2:00 p.m. Eastern, and again at 3:15 p.m. Central. Subtracting the earlier snapshot from the later one isolates the contract counts added between those rows.
Incremental put/call ratio = change in put count divided by change in call count
| C1 category | Calls added from 1:00 to 3:15 | Puts added from 1:00 to 3:15 | Calculated incremental ratio |
|---|---|---|---|
| Index options | 559,309 | 669,961 | 1.20 |
| Equity options | 969,316 | 767,950 | 0.79 |
| Total | 1,528,625 | 1,437,911 | 0.94 |
Cboe published the timestamped counts. Options Matrix Pro calculated the differences and incremental ratios. Cboe did not publish 1.20, 0.79 or 0.94 as separate statistics.
The calculation changes the time window, and the answer changes with it. The 3:15 p.m. total ratio was 0.89 for the session snapshot. The added counts between 1:00 and 3:15 p.m. produced 0.94. Neither figure identifies who initiated the trades, whether positions opened or closed, or whether the trades expressed a view on the policy decision.
The 1:00 p.m. row coincides with the statement time. The table does not establish the precise sequencing of every trade at that boundary. The subtraction describes a two-snapshot window; an event study would require transaction-level sequencing.
The Fed announcement marks the window boundary
The Federal Open Market Committee released its statement at 2:00 p.m. Eastern on 29 July. It maintained the target range at 3.5% to 3.75%; three members preferred a quarter-point increase.
That event makes the later flow worth examining. Causal attribution remains unsupported by the public counts. They cover many underlyings, expirations, strikes and strategies. Earnings, hedging, expiry selection, early exercise and ordinary position management also contribute.
A proper event study would require transaction timestamps, product and series identifiers, trade direction, open-close status and a defined comparison window. It would also need a benchmark for normal activity. The public summary table supplies category counts, so the defensible conclusion must remain at that level.
Why a high put count can be non-directional
Every option transaction has a buyer and a seller. A put purchase can add downside exposure, close a short put, hedge a portfolio or form one leg of a spread. A put sale can open a short-premium position or close an existing long put. The contract count records the trade without resolving those motives.
Exercise mechanics can add more noise. Cboe has documented cases in which heavy deep-in-the-money option activity sharply changed an equity put/call ratio even though the flow related to early-exercise and assignment management. Cboe described that effect as non-directional.
More detailed positioning work needs more fields. Cboe's Open-Close Volume Summary classifies trades by participant type, buy or sell action, open or close position and contract-size bracket. Those fields can separate questions that a public put/call total combines.
OMP's options-chain guide places volume beside strike, expiration, bid, ask, implied volatility and open interest. The options-Greeks guide adds delta, gamma, theta and vega. The contract-comparison framework keeps payoff, liquidity and capital requirements beside any flow statistic.
A four-question put/call review
- Which products are included? Separate index, exchange-traded product and single-stock activity before reading the aggregate.
- Which time window is measured? Distinguish a cumulative session ratio from counts added during a narrower interval.
- What does each contract represent? Record strike, expiration, premium, multiplier, delta and moneyness before comparing exposure.
- Can the transaction be classified? Buy-sell and open-close data are needed before assigning positioning or sentiment.
The fourth question is decisive. When trade direction and position status are absent, the ratio remains a description of call and put counts.
Sources, limitations and risk
The 29 July call and put counts came from Cboe's U.S. options current market-statistics page. The page identified Wednesday, 29 July 2026, stated that times were Central and showed the final populated row at 3:15 p.m. This article is limited to the Cboe Exchange table; the all-exchange industry total is outside its scope.
The policy timing, target range and vote came from the Federal Reserve's 29 July FOMC statement. The event is calendar context only.
Cboe's early-exercise analysis documents how exercise-related flow can create a non-directional ratio spike. The Cboe Open-Close Volume Summary describes the extra participant, action, position and size fields needed for richer analysis. The Options Industry Council's general-information guide states that reported values represent contract sides, with one long side and one short side.
Options Matrix Pro calculated the incremental-window and premium examples. The public table does not provide trade initiator, delta, notional exposure, multi-leg linkage or open-close status. The dynamic page was rechecked after the 3:15 p.m. row populated, and every final count and calculated ratio reported here uses that row.
Options can lose substantial value, short positions can create losses greater than premium received and liquidity can deteriorate. Spreads, commissions, taxes, exercise and assignment can change the result.
Options Matrix Pro publishes this article and has a commercial interest in its research platform. The internal links are first-party educational pages. This material is general education, not personal financial advice or a recommendation to buy, sell or hold any security or option. Options involve substantial risk and are not suitable for every investor.
The decision rule
Read a put/call ratio as a contract-count summary. Fix the product class and time window first. Require transaction side, open-close status, strike, expiration and an exposure measure before assigning sentiment. When those fields are missing, stop at the count.
Frequently asked questions
Does a put/call ratio above 1 prove that traders are bearish?
No. Contract counts do not identify notional exposure, opening versus closing activity, hedging intent or the direction of multi-leg positions.
Why compare index and equity put/call ratios separately?
The categories contain different products and uses, so combining them can hide materially different order-flow patterns.
Sources
Verified July 30, 2026
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