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WOLF engagement report

@WOLF_Financial - 490K followers on X

Measured over 37 original posts from a 30-day window, last computed on October 22, 2026.

Engagement

Middle of its size range
Per follower
0.005%
of 490K followers
Per impression
0.298%
8.4K views on a typical post
Reach
1.72%
of its followers see a post
Typical post
25
interactions (median)
Saved
0.012%
1 bookmarks on a typical post
Posting rate
1.57/day
active 10% of days
Peak time
20:00 UTC
Thursday

A typical post picks up 25 interactions against 490K followers, an engagement rate of 0.005%. Measured over 37 original posts, its engagement rate beats 26% 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 8.4K times each, and 0.298% of those impressions turn into an interaction. That is about 1.71% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 20:00 UTC, and Thursday is the busiest day of the week. Of the 37 posts sampled, 81% carry an image or video and 16% link out. The account's strongest tracked post pulled 922 interactions, about 37x its own typical post.

Measured over 37 original posts from a 30-day window, last computed on October 22, 2026.

Compared with accounts its own size

WOLF's engagement rate beats 26% 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 21% 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 0.005%, WOLF sits above the 10th percentile of the 204,583 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%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,583 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.677%
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 20:00 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: 20:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 20:00 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 video81% of posts+111%+108% to +115%34K
Outbound link16% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 81% 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.
  • 16% 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 477 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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 5, 202637x their median

    Here are the top 10 worst days in S&P 500 🇺🇸 history October 19th, 1987: -20.5%🔴 October 28th, 1929: -12.3%🔴 March 16th, 2020: -12%🔴 October 29th, 1929: -10.2%🔴 November 6th, 1929: -9.9%🔴 March 12th, 2020: -9.5%🔴 October 18th, 1937: -9.3%🔴 October 15th, 2008: -9%🔴 December 1st, 2008: -8.9%🔴 July 20th, 1933: -8.9%🔴

    762826513166K viewsView on X
  • Sep 5, 202630x their median

    JENSEN HUANG SAYS AMERICA WILL BUILD THE FULL AI STACK AND EVERY OTHER COUNTRY SHOULD TAKE THE PIECES IT NEEDS He described AI as the new industrial revolution, with the technology becoming economic infrastructure rather than a product. Huang said Commerce Secretary Howard Lutnick was supportive of building in the United States and wants to see other countries adopt the technology and build their own AI economies on top of it. On India, he called it one of the world's leading IT industries and said this is the start of a new IT platform. His advice to the country was that everyone is moving fast, so it has to move faster

    65172181367K viewsView on X
  • Sep 18, 202624x their median

    🚨 NEW POLYMARKET: Anthropic announces bankruptcy by...? https://t.co/qWNzaCtFzb

    453418327129K viewsView on X
  • Sep 18, 202621x their median

    STEVE EISMAN SAYS THE AI EXTINCTION WARNINGS ARE "ALL NONSENSE" AND THE LABS ARE MANUFACTURING A CRISIS TO GET REGULATION THAT PROTECTS THEM The “Big Short” investor told CNBC there's a simpler explanation for why the biggest AI companies spent the weekend calling for a slowdown. "There's no evidence at all that AI has achieved artificial general intelligence. And most of the evidence seems to point that it never will. Or if it does, it's many, many years in the future." "What I think is happening is that token maxing is over. The open weight models are taking big market share. I think these companies are very nervous. They realize that there are no moats around their business whatsoever." "They're trying to manufacture a crisis that will create regulation, and that they think they can then manipulate to create the moats, to create the duopoly that they want." "I think this whole Terminator thing is garbage."

    39281261840K viewsView on X
  • Sep 19, 202619x their median

    WARREN BUFFETT ON WHY HE NEVER BOUGHT THE 400-FOOT BOAT "I have everything I want in life, so there's nothing to spend it on. I could have 10 houses instead of one. Would I be happier? No way." "I could have a 400-foot boat, and then I'd have a crew of 50 or 60, and some of them would be stealing from me, and some of them would be sleeping together. Who knows what would be going on?" "If I wanted to be a ship's captain, I'd go into a different profession. I have everything in life I want."

    4154917445K viewsView on X
  • Sep 20, 202612x their median

    $AMD stock is currently up by 161.4% so far in 2026 making it the 9th best performing name in the S&P 500 https://t.co/98Er2oKCGc

    2691121218K viewsView on X
  • Sep 5, 202610.0x their median

    BERKSHIRE IS PLAYING AI FROM TWO DIRECTIONS, AND ONE OF THEM IS SELLING POWER Greg Abel told CNBC that supplying energy to AI data centers is a significant opportunity for Berkshire and Berkshire Hathaway Energy, since he has long believed power is the real constraint on the buildout. The condition attached: Berkshire will only sell to hyperscalers if there is no impact on rates for its other customers. The second path is equity. Berkshire holds close to $36B of Google $GOOGL, including a $10B block bought directly from the company this spring at a 6.5% discount while Google raised $80B for AI compute. Abel also said there is a lot more pushback in communities across the US on new data center construction, and that a data center has to be a welcomed member of the community.

    2201014530K viewsView on X
  • Sep 19, 20269.8x their median

    JUST IN: PRESIDENT TRUMP SAYS HE IS FORMING AN "AI FORCE," MODELED ON SPACE FORCE, AND WILL NAME AN AI CZAR "IN THE NEAR FUTURE" 🇺🇸 One week after Sam Altman and Dario Amodei called for AI development to slow down, the president posted his answer. "We will not in any way hinder or stifle the growth of this incredible industry. Rather, we will cherish it, help it, and watch over it, as it grows." He said bad actors can be handled with "our already existing criminal and civil justice system," so no new regulation. He said AI could become "as much as 25% of our country's GDP" and called it bigger than the Industrial Revolution or the internet. The czar job has one requirement so far. "Only high I.Q. individuals need apply."

    1773131548K viewsView on X
  • Sep 17, 20269.7x their median

    LIVE Interview With Figure CEO | AI Breakthrough, Helix 2.5, Zero-Shot Generalization and More https://t.co/Jj0iIzQA6I

    187241913125K viewsView on X
  • Sep 16, 20269.0x their median

    Tokenization is taking Wall Street to the world. https://t.co/uININAVQUH

    1802218419K 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 25 interactions against 490K followers, an engagement rate of 0.005%. Measured over 37 original posts, its engagement rate beats 26% 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 8.4K times each, and 0.298% of those impressions turn into an interaction. That is about 1.71% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 20:00 UTC, and Thursday is the busiest day of the week. Of the 37 posts sampled, 81% carry an image or video and 16% link out. The account's strongest tracked post pulled 922 interactions, about 37x its own typical post.

What is WOLF's engagement rate on X?
WOLF (@WOLF_Financial) has an engagement rate of 0.005%, based on the median interactions across 37 original posts from the last 30 days against 490,111 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.005%, WOLF sits above the 10th percentile of the 204,583 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 @WOLF_Financial have real engagement?
Its engagement rate beats 26% 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 @WOLF_Financial post?
Most posts go out around 20:00 UTC, and Thursday is its busiest day, at roughly 1.57 posts per day across the measured window.

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