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John Trades MBA engagement report

@JPATrades - 238K followers on X

Measured over 12 original posts from a 30-day window, last computed on September 29, 2026.

Engagement

Middle of its size range
Per follower
0.095%
of 238K followers
Per impression
0.527%
43K views on a typical post
Reach
18.0%
of its followers see a post
Typical post
226
interactions (median)
Saved
0.022%
10 bookmarks on a typical post
Posting rate
1.2/day
active 33% of days
Peak time
13:00 UTC
Thursday

A typical post picks up 226 interactions against 238K followers, an engagement rate of 0.095%. Measured over 12 original posts, its engagement rate beats 58% 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 43K times each, and 0.527% of those impressions turn into an interaction. That is about 18.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 12 posts sampled, 58% carry an image or video and 17% link out. The account's strongest tracked post pulled 941 interactions, about 4.2x its own typical post.

Measured over 12 original posts from a 30-day window, last computed on September 29, 2026.

Compared with accounts its own size

John Trades MBA's engagement rate beats 58% of the tracked X accounts closest to it in follower count (20,444 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 27% 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 0.095%, John Trades MBA 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%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,048 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 13:00 UTC, and Thursday 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video58% of posts+111%+108% to +115%34K
Outbound link17% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 58% 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.
  • 17% 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 102 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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 27, 20264.2x their median

    The last 2 times the USA got panda's from China... June 2024 - $SPY rallied 12% in 12 months December 2003 - $SPY rallied 20% in 12 months https://t.co/GLrjyJiqDv

    82445561682K viewsView on X
  • Sep 10, 20263.7x their median

    *US AUG. PRODUCER PRICES RISE 0.4% M/M; EST. +0.4% *US AUG. PRODUCER PRICES RISE 5.4% Y/Y; EST. +5.3% *US AUG. CORE PPI RISES 0.2% M/M; EST. +0.3% *US AUG. CORE PPI RISES 4.6% Y/Y; EST. +4.6%

    6461223825278K viewsView on X
  • Jul 8, 20261.7x their median

    Someone just bought $18,400,000 worth of $DELL 500 calls $DELL donated shares to the Trump accounts this week and Trump said that Dell would be rewarded 👀 https://t.co/9OXOW4sRvV

    34215283110K viewsView on X
  • Sep 27, 20261.7x their median

    *Checks Futures https://t.co/Vmq0oIGH6S

    3411917143K viewsView on X
  • Aug 27, 2026

    $AMZN to 240 Will delete if wrong https://t.co/0ORxL2KjFv

    2799277111K viewsView on X
  • Sep 10, 2026

    Someone just bought $2,000,000 worth of $GOOGL calls that expire in October Could the suffering for $GOOGL finally be over https://t.co/1YKLmZ3osl

    2611222227K viewsView on X
  • Aug 30, 2026

    $SPY to 800 by Halloween 🎃 Will dress up as a bear for Halloween if wrong https://t.co/Py4mVPdHNa

    227919184K viewsView on X
  • Sep 28, 2026

    Trump's 2PM announcement will be on Iowa steel project - Official

    21213128112K viewsView on X
  • Sep 9, 2026

    How $AAPL expects us to react to the same iPhone every year https://t.co/2wCjluCVbx

    186811142K viewsView on X
  • Sep 26, 2026

    You’re not bullish enough https://t.co/IgRrExVBCo

    18448131K 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 226 interactions against 238K followers, an engagement rate of 0.095%. Measured over 12 original posts, its engagement rate beats 58% 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 43K times each, and 0.527% of those impressions turn into an interaction. That is about 18.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 12 posts sampled, 58% carry an image or video and 17% link out. The account's strongest tracked post pulled 941 interactions, about 4.2x its own typical post.

What is John Trades MBA's engagement rate on X?
John Trades MBA (@JPATrades) has an engagement rate of 0.095%, based on the median interactions across 12 original posts from the last 30 days against 237,938 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.095%, John Trades MBA 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 @JPATrades have real engagement?
Its engagement rate beats 58% 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 @JPATrades post?
Most posts go out around 13:00 UTC, and Thursday is its busiest day, at roughly 1.2 posts per day across the measured window.

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