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EllioTrades engagement report

@elliotrades - 931K followers on X

Measured over 65 original posts from a 30-day window, last computed on August 28, 2026.

Engagement

Middle of its size range
Per follower
0.071%
of 931K followers
Per impression
1.13%
58K views on a typical post
Reach
6.26%
of its followers see a post
Typical post
655
interactions (median)
Saved
0.028%
16 bookmarks on a typical post
Posting rate
3.67/day
active 83% of days
Peak time
16:00 UTC
Wednesday

A typical post picks up 655 interactions against 931K followers, an engagement rate of 0.071%. Measured over 65 original posts, its engagement rate beats 67% of 3,829 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 58K times each, and 1.13% of those impressions turn into an interaction. That is about 6.23% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 65 posts sampled, 34% carry an image or video. The account's strongest tracked post pulled 196K interactions, about 299x its own typical post.

Measured over 65 original posts from a 30-day window, last computed on August 28, 2026.

Compared with accounts its own size

EllioTrades's engagement rate beats 67% of the tracked X accounts closest to it in follower count (3,829 accounts, accounts of similar size (decile 9 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 54% 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 0.071%, EllioTrades sits above the 25th percentile of the 37,071 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.435%
p902.10%
p99158.3%
Engagement rate as a share of followers, across the 37,071 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,527 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 percentile0.08%
75th percentile0.435%
90th percentile2.10%
99th percentile158.3%

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 16:00 UTC, and Wednesday 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 16:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
02:00 UTC-3%51K
03:00 UTC-4%54K
04:00 UTC-6%44K
05:00 UTC-4%42K
06:00 UTC-4%49K
07:00 UTC-5%53K
08:00 UTC-4%61K
09:00 UTC-3%71K
10:00 UTC-2%73K
11:00 UTC-3%80K
12:00 UTC-2%88K
13:00 UTC-2%96K
14:00 UTC-4%99K
15:00 UTC-2%103K
16:00 UTC-3%100K
17:00 UTC-2%92K
18:00 UTC-1%86K
19:00 UTC-2%81K
20:00 UTC-1%75K
21:00 UTC-1%67K
22:00 UTC-1%58K
23:00 UTC-1%52K
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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%234K
Monday0%294K
Tuesday-3%288K
Wednesday-1%253K
Thursday-2%247K
Friday-3%256K
Saturday+3%230K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 9, 2026299x their median

    The curse of discipline is that every day looks the same. The curse of indiscipline is that every year does.

    160K33K5671.5K9.7M viewsView on X
  • Jul 22, 202634x their median

    We have information that Moonshot AI distilled Anthropic’s Fable for the development of its K3 model. To do this they developed a sophisticated internal platform to conduct large scale distillation against U.S. models, allowing them to quickly switch between multiple methods of access to avoid detection. Moonshot AI has also acquired GB300-equipped servers and has accessed GB300s in Thailand, likely to train its AI models.   The United States strongly supports the free and fair development of AI, including a thriving competitive ecosystem that spans frontier models, specialized systems, open-source frameworks, and open-weight models. Legitimate AI distillation used to create smaller, more efficient models plays a vital role in this open innovation ecosystem. However, large-scale, covert industrial distillation aimed at stealing proprietary U.S. technology and undermining American research is unacceptable.

    15K1.4K4.0K2.3K9.4M viewsView on X
  • Jul 31, 202621x their median

    "Sir, a new model just dropped. It is 18x cheaper on input, 28x cheaper on output, and matches Opus 4.8." https://t.co/amoQzvje1k

    13K704156521.1M viewsView on X
  • Aug 1, 202621x their median

    Bessent is in panic mode... he intervened to support the yen. To prevent Japan from selling even more US assets, he joined Japan in a massive coordinated intervention. But instead of selling USD, the US sold EUR. To keep this war going, the US has to bail out major holders of US assets to prevent them from selling... especially Treasuries. The US simply can't afford this war, which is why it only escalates when markets are closed.

    11K2.1K322185929K viewsView on X
  • Aug 5, 202618x their median

    Two weeks ago, I resigned from OpenAI to join Conduit as a founding researcher, where we're training models to non-invasively read the human mind. I've written some thoughts about what telepathy could look like by 2035 and how to get there: https://t.co/cat0d4My15

    8.9K9451.2K1.0K3.0M viewsView on X
  • Sep 1, 20258.3x their median

    Going to go hibernate in Discord until 2026. GLHF. https://t.co/2VEwMjP4ty

    4.3K3944033213.3M viewsView on X
  • Aug 21, 20266.2x their median

    Crypto is cool because every few years you lose all your money and every shred of your sanity And then one day you make it all back and then some (but not the sanity part. you're fucked up for life now)

    3.7K23313221129K viewsView on X
  • Jul 19, 20264.6x their median

    this place was a fucking zoo when NFTs were popping and ETH DeFi happened for the first time

    2.3K11556437209K viewsView on X
  • Aug 19, 20264.6x their median

    Boom. The US Treasury is doubling the size of their long-end buybacks to "improve liquidity". Buying back their own bonds in size. Artificially suppressing yields. https://t.co/NYilDIdWrA

    2.5K298127102453K viewsView on X
  • Aug 19, 20264.4x their median

    Trump still owes us a golden bull run time to pay up

    2.7K10778664K 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.

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Reading these numbers

A typical post picks up 655 interactions against 931K followers, an engagement rate of 0.071%. Measured over 65 original posts, its engagement rate beats 67% of 3,829 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 58K times each, and 1.13% of those impressions turn into an interaction. That is about 6.23% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 65 posts sampled, 34% carry an image or video. The account's strongest tracked post pulled 196K interactions, about 299x its own typical post.

What is EllioTrades's engagement rate on X?
EllioTrades (@elliotrades) has an engagement rate of 0.071%, based on the median interactions across 65 original posts from the last 30 days against 930,725 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.071%, EllioTrades sits above the 25th percentile of the 37,071 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 @elliotrades have real engagement?
Its engagement rate beats 67% of the tracked X accounts closest to it in follower count (3,829 accounts), which puts it in the middle of its size range 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 @elliotrades post?
Most posts go out around 16:00 UTC, and Wednesday is its busiest day, at roughly 3.67 posts per day across the measured window.

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