EllioTrades engagement report
@elliotrades - 929K followers on X
Measured over 16 original posts from a 30-day window, last computed on October 20, 2026.
Engagement
A typical post picks up 358 interactions against 929K followers, an engagement rate of 0.038%. Measured over 16 original posts, its engagement rate beats 55% of 20,444 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 38K times each, and 0.937% of those impressions turn into an interaction. That is about 4.11% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 18:00 UTC, and Tuesday is the busiest day of the week. Of the 16 posts sampled, 19% carry an image or video and 38% link out. The account's strongest tracked post pulled 195K interactions, about 545x its own typical post.
Measured over 16 original posts from a 30-day window, last computed on October 20, 2026.
Compared with accounts its own size
EllioTrades's engagement rate beats 55% of the tracked X accounts closest to it in follower count (20,444 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 46% 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 0.038%, EllioTrades sits above the 25th percentile of the 205,048 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 18:00 UTC, and Tuesday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 19% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 38% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 19% 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.
- 38% 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 186 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
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
- Aug 9, 2026545x their median
The curse of discipline is that every day looks the same. The curse of indiscipline is that every year does.
- Jul 22, 202662x 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.
- 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
- Aug 1, 202639x 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.
- Aug 5, 202634x 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
- Sep 1, 20258.3x their median
Going to go hibernate in Discord until 2026. GLHF. https://t.co/2VEwMjP4ty
- Aug 21, 202611x 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)
- Sep 16, 202610x their median
I'm sorry but what an absolutely devastating aura loss for Trump ahead of the midterms His literal lapdog Kevin Warsh raised interest rates and set expectations for 2 more hikes All because of a total failure war in Iran that no one wanted Disaster for Red team
- Jul 19, 20266.6x their median
this place was a fucking zoo when NFTs were popping and ETH DeFi happened for the first time
- Aug 19, 20268.3x 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
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 358 interactions against 929K followers, an engagement rate of 0.038%. Measured over 16 original posts, its engagement rate beats 55% of 20,444 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 38K times each, and 0.937% of those impressions turn into an interaction. That is about 4.11% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 18:00 UTC, and Tuesday is the busiest day of the week. Of the 16 posts sampled, 19% carry an image or video and 38% link out. The account's strongest tracked post pulled 195K interactions, about 545x its own typical post.
- What is EllioTrades's engagement rate on X?
- EllioTrades (@elliotrades) has an engagement rate of 0.038%, based on the median interactions across 16 original posts from the last 30 days against 928,904 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.038%, EllioTrades sits above the 25th percentile of the 205,048 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 55% of the tracked X accounts closest to it in follower count (20,444 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 18:00 UTC, and Tuesday is its busiest day, at roughly 1.4 posts per day across the measured window.