Back to @Cboe's profile

Cboe engagement report

@Cboe - 579K followers on X

Measured over 44 original posts from a 30-day window, last computed on October 10, 2026.

Engagement

Bottom quarter for its size
Per follower
0.001%
of 579K followers
Per impression
0.258%
2.9K views on a typical post
Reach
0.5%
of its followers see a post
Typical post
8
interactions (median)
Saved
0.034%
1 bookmarks on a typical post
Posting rate
1.97/day
active 43% of days
Peak time
15:00 UTC
Friday

A typical post picks up 8 interactions against 579K followers, an engagement rate of 0.001%. Measured over 44 original posts, its engagement rate beats 13% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.9K times each, and 0.258% of those impressions turn into an interaction. That is about 0.503% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 44 posts sampled, 82% carry an image or video and 32% link out. The account's strongest tracked post pulled 230 interactions, about 29x its own typical post.

Measured over 44 original posts from a 30-day window, last computed on October 10, 2026.

Compared with accounts its own size

Cboe's engagement rate beats 13% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 10 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 18% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.001%, Cboe sits below the 10th percentile of the 212,567 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.696%
p902.61%
p9982.7%
Engagement rate as a share of followers, across the 212,567 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,364 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.025%
50th percentile0.146%
75th percentile0.696%
90th percentile2.61%
99th percentile82.7%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 15:00 UTC, and Friday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video82% of posts+111%+108% to +115%34K
Outbound link32% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 82% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 32% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 320 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Sep 14, 202629x their median

    In today's Macro Volatility Digest: 🔹 Risk assets sold off last week as oil prices jumped to a 3-month high on escalating Middle East tensions and US core inflation surprised to the upside. 🔹 The VIX® Index gained 1.3 pts last week to 15.8%, with more than half of the move coming from a steepening in SPX skew and convexity. 🔹 Tail hedging in the equity market has picked up as well, particularly via VIX options. Download the full report: https://t.co/YxyyGhueWd

    193324120K viewsView on X
  • Aug 17, 202624x their median

    In today's Macro Volatility Digest: 🔹Cross-asset implied volatilities declined across the board on the back of a run of “goldilocks” inflation prints (soft CPI, flat PPI) that has reinforced hopes the Fed is done hiking. 🔹The VIX® Index underperformed skew last week, falling -0.65 pts to 14.25 (a YTD low) due primarily to a lowering of fixed-strike vols across the curve. Get a sneak peek below, and download the full report: https://t.co/pBpXiFEibE

    161281416K viewsView on X
  • Aug 10, 202624x their median

    In today's Macro Volatility Digest: 🔹Gold was the only major asset class to see volatility increase, with GLD 1M implied vol up over 2 pts as call demand picked up. 🔹SPX skew collapsed to a 1-year low across tenors as investors sold out of hedges and rotated into upside calls to chase the rally. 🔹Among the major US indices, the Russell 2000® Index saw the biggest decline in volatility last week, with RTY 1M implied vol down 1.8 pts to 16.9% (2nd percentile low). Get a sneak peek below, and download the full report: https://t.co/N2VQzNo6In

    1453310323K viewsView on X
  • Sep 28, 202622x their median

    In today's Macro Volatility Digest: 🔹 US bond yields climbed to a two-decade high last week. 🔹 While SPX index vol was unch'd, single stock volatility increased further last week, with the VIXEQSM Index up another 2 pts to 38.5%. 🔹 Among global equity indices, Brazil stands out as having the richest implied volatility ahead of its presidential election on Oct 4th. Get a sneak peek below, and download the full report: https://t.co/g4N3zjOWiQ

    144254115K viewsView on X
  • Oct 5, 202618x their median

    In today's Macro Volatility Digest: 🔹 Cross-asset implied volatilities edged higher as cooler-than-expected core inflation and weak job growth momentarily quelled escalating bond yields. 🔹 Corporate bond volatilities have both continued to climb with investment grade (IG) and high-yield (HY) vols jumping from 6th and 11th percentile lows 2 weeks ago to their 79th and 84th percentile highs respectively. 🔹 French sovereign credit spreads widened sharply over the past week. Get a sneak peek below, and download the full report: https://t.co/Ss3NZ8xJx5

    112226216K viewsView on X
  • Aug 24, 202617x their median

    In today's Macro Volatility Digest: 🔹Cross-asset implied volatilities rose across the board as Treasury market concerns trickled into equities and the other major asset classes. 🔹The VIX® Index underperformed skew last week, bouncing off its YTD low and rising 0.9 pts w/w to 15.1 on the -1.4% SPX pullback. 🔹Options sentiment for Nvidia leans slightly bearish with NVDA put skew steepening into its Weds earnings. Get a sneak peek below, and download the full report: https://t.co/2N3J7H53qC

    108243313K viewsView on X
  • Jul 24, 202610x their median

    2026 Midyear Option Market Snapshot 👀

    165710019K viewsView on X
  • Sep 2, 202610x their median

    Perpetual Futures vs. 0DTE Options: Let's look at the differences in retail risk appetite: ⬇️

    66112117K viewsView on X
  • Aug 25, 20269.5x their median

    What's a key difference between Perpetual Futures vs. 0DTE Options? Liquidation & auto-deleveraging risks in perps. Let's take a look⬇️

    6464212K viewsView on X
  • Aug 17, 20268.6x their median

    Perpetual Futures vs. 0DTE Options: Let's look at hedging ⬇️

    6161115K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 8 interactions against 579K followers, an engagement rate of 0.001%. Measured over 44 original posts, its engagement rate beats 13% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.9K times each, and 0.258% of those impressions turn into an interaction. That is about 0.503% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 44 posts sampled, 82% carry an image or video and 32% link out. The account's strongest tracked post pulled 230 interactions, about 29x its own typical post.

What is Cboe's engagement rate on X?
Cboe (@Cboe) has an engagement rate of 0.001%, based on the median interactions across 44 original posts from the last 30 days against 578,807 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Cboe sits below the 10th percentile of the 212,567 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @Cboe have real engagement?
Its engagement rate beats 13% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the bottom quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @Cboe post?
Most posts go out around 15:00 UTC, and Friday is its busiest day, at roughly 1.97 posts per day across the measured window.

Keep going