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Cboe engagement report

@Cboe - 579K followers on X

Measured over 51 original posts from a 30-day window, last computed on August 26, 2026.

Engagement

Bottom quarter for its size
Per follower
0.002%
of 579K followers
Per impression
0.335%
3.3K views on a typical post
Reach
0.57%
of its followers see a post
Typical post
11
interactions (median)
Saved
0.03%
1 bookmarks on a typical post
Posting rate
2.2/day
active 50% of days
Peak time
15:00 UTC
Monday

A typical post picks up 11 interactions against 579K followers, an engagement rate of 0.002%. Measured over 51 original posts, its engagement rate beats 15% of 3,882 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 3.3K times each, and 0.335% of those impressions turn into an interaction. That is about 0.567% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 51 posts sampled, 80% carry an image or video and 41% link out. The account's strongest tracked post pulled 193 interactions, about 18x its own typical post. Recurring topics include #chiduckyderby, #gth, #spx.

Measured over 51 original posts from a 30-day window, last computed on August 26, 2026. Recurring tags: #chiduckyderby, #gth, #spx.

Compared with accounts its own size

Cboe's engagement rate beats 15% of the tracked X accounts closest to it in follower count (3,882 accounts, accounts of similar size (decile 8 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 26% 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 0.002%, Cboe sits above the 10th percentile of the 37,582 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99158.1%
Engagement rate as a share of followers, across the 37,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,409 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile158.1%

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 Monday 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 6%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%52K
01:00 UTC-2%53K
02:00 UTC-3%51K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%62K
09:00 UTC-3%72K
10:00 UTC-2%74K
11:00 UTC-3%81K
12:00 UTC-2%89K
13:00 UTC-2%98K
14:00 UTC-4%101K
15:00 UTC-2%104K
16:00 UTC-3%102K
17:00 UTC-3%94K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%68K
22:00 UTC-2%59K
23:00 UTC-2%53K
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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%237K
Monday0%300K
Tuesday-3%299K
Wednesday-1%256K
Thursday-1%249K
Friday-3%258K
Saturday+3%232K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 17, 202618x 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

    160281415K viewsView on X
  • Aug 10, 202617x 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
  • Aug 24, 202612x 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

    108233313K viewsView on X
  • Aug 25, 20266.6x their median

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

    6254211K viewsView on X
  • Aug 17, 20266.3x their median

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

    6161115K viewsView on X
  • Jul 24, 20264.1x their median

    2026 Midyear Option Market Snapshot 👀

    7371011K viewsView on X
  • Aug 17, 20262.1x their median

    Macro Volatility Digest: Volatility/Convexity Premia Fall to Lowest YTD Levels on Benign Inflation Data What stands out⤵️

    192207.4K viewsView on X
  • Aug 21, 20262.0x their median

    A market based on games isn’t a market at all. We’re changing that with financial event contracts, starting with binary options tied to useful economic data and market events — products that may be additive to the ever-expanding range of financial tools that investors need to manage risks, optimize portfolio performance, and achieve investment objectives. ▶️ Swipe through to see how we differ from other event contracts.

    147103.5K viewsView on X
  • Aug 17, 20262.0x their median

    Thank you, Prosper Trading Academy, for joining us for the closing bell! 🔔 Prosper Trading Academy is a financial education company dedicated to helping traders build knowledge and confidence through professional market education. https://t.co/500cSdbzhc

    165105.4K viewsView on X
  • Aug 24, 20261.8x their median

    Interested in learning more about box spreads? Join Options Institute instructor Derek Moore for the next installments in his box spread series. 🔗 Understanding Long Boxes: Synthetic Long Treasury Bill: https://t.co/eErCWe4Lqh 🔗 Understanding Short Boxes: Synthetic Borrowing and Loan Economics: https://t.co/Ll1hZ6zoQz

    163102.9K 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.

Recurring topics

#chiduckyderby#gth#spx#xsp

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 11 interactions against 579K followers, an engagement rate of 0.002%. Measured over 51 original posts, its engagement rate beats 15% of 3,882 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 3.3K times each, and 0.335% of those impressions turn into an interaction. That is about 0.567% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 51 posts sampled, 80% carry an image or video and 41% link out. The account's strongest tracked post pulled 193 interactions, about 18x its own typical post. Recurring topics include #chiduckyderby, #gth, #spx.

What is Cboe's engagement rate on X?
Cboe (@Cboe) has an engagement rate of 0.002%, based on the median interactions across 51 original posts from the last 30 days against 578,701 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Cboe sits above the 10th percentile of the 37,582 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 15% of the tracked X accounts closest to it in follower count (3,882 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 Monday is its busiest day, at roughly 2.2 posts per day across the measured window.

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