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MARKET INSIGHTS! engagement report

@IManghaila - 189K followers on X

Measured over 79 original posts from a 30-day window, last computed on October 12, 2026.

Engagement

Bottom quarter for its size
Per follower
0.011%
of 189K followers
Per impression
0.327%
6.1K views on a typical post
Reach
3.24%
of its followers see a post
Typical post
20
interactions (median)
Saved
0.049%
3 bookmarks on a typical post
Posting rate
2.87/day
active 33% of days
Peak time
15:00 UTC
Monday

A typical post picks up 20 interactions against 189K followers, an engagement rate of 0.011%. Measured over 79 original posts, its engagement rate beats 24% of 20,444 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 6.1K times each, and 0.327% of those impressions turn into an interaction. That is about 3.24% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 79 posts sampled, 13% carry an image or video. The account's strongest tracked post pulled 133 interactions, about 6.7x its own typical post.

Measured over 79 original posts from a 30-day window, last computed on October 12, 2026. Recurring tag: #mu.

Compared with accounts its own size

MARKET INSIGHTS!'s engagement rate beats 24% 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 19% 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 0.011%, MARKET INSIGHTS! sits above the 10th percentile of the 204,956 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 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 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 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video13% of posts+111%+108% to +115%34K
Outbound link1% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 13% 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.
  • 1% 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 242 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

  • Sep 14, 20266.7x their median

    A man who is a master of patience is a master of everything.

    11581007.8K viewsView on X
  • Sep 14, 20263.9x their median

    I lost I lost I lost I lost I lost I lost Until Then I lost Til I understood 1. I don't need to force trades. 2. I don't need to allow big losses.

    694407.2K viewsView on X
  • Sep 16, 20262.8x their median

    Backtesting 101: Don't just ask: “Did this strategy make money?” Ask: “Did it work across different markets?” 
Different volatility regimes? 
After realistic costs? 
Outside the period used to develop it? A backtest should try to break your strategy, not prove you're a genius.

    4267117K viewsView on X
  • Sep 15, 20262.8x their median

    12 trading rules I keep coming back to from Linda Raschke: 1. Small losses are normal. Big losses are optional. 2. Let winners run, but respect the reversal. 3. Write your trades down. Your journal will expose you. 4. The farther you look into the future, the less certain you become. 5. You don’t need a formal education to become a good trader. 6. Experience makes you better, not perfect. 7. A profitable system means nothing if you can’t follow it. 8. Do the work. Study great traders. Study the market. 9. Give a good swing trade room to become a great one. 10. Price creates patterns. Your job is to recognize and execute them. 11. Losing small is a skill. 12. Your attitude toward losses will determine how long you survive. The common thread? Protect your downside, stay disciplined, and let the market prove you right.

    448306.6K viewsView on X
  • Oct 7, 20262.3x their median

    Cut your losses quickly, without hesitation, no trader is right all the time.

    414106.7K viewsView on X
  • Sep 14, 20262.3x their median

    I lost alot when I thought to make money rather than thinking how much to lose.

    351916.4K viewsView on X
  • Sep 15, 20262.0x their median

    The good traders are the ones who can hold their ground the majority of the month and participate in that small handful of trades that are windfalls. The real skill is in not LOSING money! – Linda Raschke

    352226.2K viewsView on X
  • Oct 12, 20261.9x their median

    Most traders go through 3 stages. Stage 1: Losing money. Small wins, big losses. Poor entries and poor risk management. Stage 2: Making money, then giving it back. You find good trades, but take profits too early, overtrade, or let losses get too big. Stage 3: Consistency. You cut losses quickly, let good trades run, manage risk, and know when to stay in cash. The real progress comes when you stop focusing only on finding winning stocks and start learning how to manage yourself.

    286505.1K viewsView on X
  • Oct 6, 20261.9x their median

    Most traders don’t lose because they lack intelligence. They lose because they lack discipline. The traders who survive long enough to become consistently profitable understand: Protect your capital. Follow your rules. Control your emotions. Discipline is the edge.

    333307.3K viewsView on X
  • Oct 5, 20261.9x their median

    It’s not about being educated vs. uneducated. It’s about who likes to read, think, and write — and who doesn’t. A degree can teach you a profession. But reading expands your mind. Thinking sharpens your judgment. Writing forces you to organize your thoughts. You can be highly educated and still never question what you believe. And you can have no formal education yet become incredibly wise if you develop the habit of reading, thinking, observing, and learning. Education gives you information. Reading and thinking teach you how to use it.

    312506.2K 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

#mu

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 20 interactions against 189K followers, an engagement rate of 0.011%. Measured over 79 original posts, its engagement rate beats 24% of 20,444 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 6.1K times each, and 0.327% of those impressions turn into an interaction. That is about 3.24% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 79 posts sampled, 13% carry an image or video. The account's strongest tracked post pulled 133 interactions, about 6.7x its own typical post.

What is MARKET INSIGHTS!'s engagement rate on X?
MARKET INSIGHTS! (@IManghaila) has an engagement rate of 0.011%, based on the median interactions across 79 original posts from the last 30 days against 188,682 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.011%, MARKET INSIGHTS! sits above the 10th percentile of the 204,956 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 @IManghaila have real engagement?
Its engagement rate beats 24% of the tracked X accounts closest to it in follower count (20,444 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 @IManghaila post?
Most posts go out around 15:00 UTC, and Monday is its busiest day, at roughly 2.87 posts per day across the measured window.

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