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Cred engagement report

@CryptoCred - 836K followers on X

Measured over 4 original posts from a 30-day window, last computed on September 9, 2026.

Engagement

Per follower
0.373%
of 836K followers
Per impression
2.36%
132K views on a typical post
Reach
15.8%
of its followers see a post
Typical post
3.1K
interactions (median)
Saved
0.057%
76 bookmarks on a typical post
Posting rate
0.13/day
active 7% of days
Peak time
22:00 UTC
Wednesday

Early reading. We have captured 4 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 3.1K interactions against 836K followers, an engagement rate of 0.373%. Posts are seen about 132K times each, and 2.36% of those impressions turn into an interaction. That is about 15.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 22:00 UTC, and Wednesday is the busiest day of the week. Of the 4 posts sampled, 25% carry an image or video. The account's strongest tracked post pulled 30K interactions, about 9.6x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 4 original posts from a 30-day window, last computed on September 9, 2026.

Where this sits in the catalog

At 0.373%, Cred sits above the 50th percentile of the 204,880 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,880 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 percentile0.678%
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 22:00 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: 22:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 22:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video25% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 25% 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.
  • 0% 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 680 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

  • Apr 22, 20269.6x their median

    TRUST IN TRUMP 🇺🇸📈 https://t.co/7JN9uwDYse

    21K3.0K4.8K9172.7M viewsView on X
  • Mar 3, 20262.5x their median

    "AI agents will replace manual trading." Yeah right I'd love to see an AI agent sell the bottom, lever into a revenge trade, get liquidated, and then reenter the trade with double the size before closing for a catastrophic loss

    7.0K44730055297K viewsView on X
  • Jun 17, 20242.3x their median

    [Pinned] I've updated my list of trading resources. It's now organised into different categories with additional content. All free, built over the last 7+ years: https://t.co/KBW57kT5T0

    4.6K1.3K1.2K921.1M viewsView on X
  • Mar 1, 2026

    $BTC dropped 50% from high to low. Did I sell the top? No. Did I hedge? No. But do I have a tactical pool of capital that’s ready to deploy into cyclical entries? Also no.

    3.6K12517913170K viewsView on X
  • May 28, 2026

    https://t.co/fZwuBGoDhZ

    3.4K32614540153K viewsView on X
  • Aug 19, 2026

    This was one of the highest volatility days in recent crypto history. Was I long the BTC breakout? No. Did I catch the HYPE news? No. But do I have a tactical pool of capital that’s ready to deploy with a clear plan if a new trend forms? Also no.

    3.1K18126717137K viewsView on X
  • Aug 19, 2026

    This is a huge inflection point for BTC after one of the largest short liquidation events in recent history I've spent the last 4 hours studying ETF flows, Microstrategy credit facilities, cross-exchange liquidity and funding rates, as well as prime OTC desk inventory They all point to the same inevitable conclusion: If it keeps going up, then the market is bullish If it stops going up and goes down, then the market is bearish

    2.8K12825316139K viewsView on X
  • Aug 19, 2026

    Real talk If you’re on the wrong side during a big move like this, most of your immediate impulses are gonna suck Greatest hits: 1. Revenge short - Can’t believe I missed this piece of shit scam pumping; it’s up so much it HAS to come down 2. Oversized buy - I will use leverage as a time travel machine to make up for being late 3. TA cope - It has to retest the exact level it broke out from immediately because I watched two whole Babypips videos on 1.5x speed 4. All-or-nothing - My only options are 0%. exposure or 100%, nothing in between exists 5. Deer in headlights - oh geez I guess I should wait for a pullback but no what if the consolidation is the pullback hmm maybe I’ll wait for a range to form but what if that range breaks down do I buy the retest of the breakout or the range reclaim oh man fuck shit what’s Ansem saying 6. Overtrader - I will cement my bloodline on the 5 minute chart; if this next candle is the wrong colour I will either be rich or poor Just chill out, delete your levels, pretend you haven’t looked at the chart in weeks - fresh eyes Then it’s the usual list of simple questions: 1. What signals are firing / what do I think is gonna happen 2. What kind of bet am I making (mean reversion/volatility expansion/new trend/momentum/Blackrock scam etc.) and on what time horizon 3. Where am I wrong 4. Does my position size match the current volatility and align with the shape of my trade idea i.e. points 1-3 FWIW I’m washed but gonna try to jam some spot sub 70k. If it gets accepted below 66-67k (retraces the breakout) then I’ll lose money “Wow it’s up so much what you buy the top?” Then I’ll lose money and look silly on social media. That’s the cost of doing business (at least the first one). Just start LARPing like everyone else and instead of saying “I bought the top” say “I aggressively rebalanced when an ensemble of carefully weighed momentum factor signals fired contemporaneously.”

    2.6K28211946305K viewsView on X
  • Jul 20, 2026

    If you trade trend, you'll get a bunch of false starts If you trade momentum, you'll often buy the top/sell the bottom If you trade mean reversion, you'll periodically get carried out by an outsized move And so on for basically every trading system This is the cost of doing business that's embedded into every market effect you're monetising Your job is to understand it and manage it If you try to avoid it entirely you simply won't get paid There's no perfect system, it's all about managing trade-offs Go take a look at your setups/playbook or wherever your trading system lives and map its assumptions and failure cases The stuff you wanna avoid: 1. Mutating your system because the risk feels uncomfy so you get the worst of both worlds e.g. not holding for long trends/outsized moves but still eating the false starts when you're wrong (all the downside, no balls for the upside) 2. Not knowing what the trade-offs are and sizing like a dickhead so when you're wrong it wipes out all your gains e.g. penny collecting on mean reversion with increasing size and then getting fully wiped on the outsized move

    2.5K34811125188K viewsView on X
  • Jul 15, 2026

    Explaining to my children that they'll never see their friends again because a candlestick closed below a box I made up and we can't afford the fancy school district anymore

    2.1K1491015109K 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 3.1K interactions against 836K followers, an engagement rate of 0.373%. Posts are seen about 132K times each, and 2.36% of those impressions turn into an interaction. That is about 15.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.13 posts a day over the last 30 days, though only 7% of days saw any activity at all. Most posts go out around 22:00 UTC, and Wednesday is the busiest day of the week. Of the 4 posts sampled, 25% carry an image or video. The account's strongest tracked post pulled 30K interactions, about 9.6x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Cred's engagement rate on X?
Cred (@CryptoCred) has an engagement rate of 0.373%, based on the median interactions across 4 original posts from the last 30 days against 836,217 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.373%, Cred sits above the 50th percentile of the 204,880 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 @CryptoCred have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @CryptoCred post?
Most posts go out around 22:00 UTC, and Wednesday is its busiest day, at roughly 0.13 posts per day across the measured window.

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