Crypto & trading โ a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channelโs own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 95% confidence. This is a modelโs judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured โ it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 3 other registered channels. The matching is on the text itself, not on Telegramโs forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts โ open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp โ in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
โPublished firstโ means first in this corpus. We hold 12 comparable posts for this entry, running 7 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detectorโs own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 4, the earliest publisher we hold is @Crazybull_Forexs โ which is this entry. That is a statement about our reading window, not a claim of authorship.
Views per post sit far below this size band
1.7 average views per post against 16,079 subscribers โ an engagement rate of 0.01%. Across the 6,344 registered channels in the same cohort โ 10,002โ31,609 subscribers, posting mainly in English โ the middle half sit between 2.73% and 15.7%, with a median of 7.33%.
What this was computed from
Window
30 days (13 July 2026 โ 12 August 2026)
Posts measured
87 of 87 published in the window (87 exact, 0 rounded by Telegram)
Views totalled
145
Mature posts only
0.017% over 15 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3ร away from that cohortโs median โ below it โ on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes โ audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channelโs own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the keys clone_source ยท err_low, last confirmed 12 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through โ we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channelโs posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable โ 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times โ 60%, no better than a coin flip โ because it depends on how deep our own crawl happened to reach into each channelโs history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying โ a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story โ and this measurement cannot tell those apart. How this is measured.
6 measurements spanning 5 days, net -17. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between โ snapshots are recorded only when a count changes, so gaps mean โno change observedโ, never โinterpolatedโ. The vertical axis spans 16,076โ16,099 and does not start at zero.
Measurement log โ every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 15:55
16,079
-4
11 Aug 2026, 17:02
16,083
-1
10 Aug 2026, 14:33
16,084
-4
9 Aug 2026, 14:12
16,088
-7
8 Aug 2026, 10:26
16,095
-1
7 Aug 2026, 17:15
16,096
first reading
Engagement
87 posts held, back to 7 August 2026 โ the reader has not yet reached the start of this channelโs public history, so older posts may sit further back, unread. Read across 14 pagesof Telegramโs post history, 20 posts per page.
ERR ยท 30 days
0.01%
avg views รท 16,079 subscribers
Avg views / post
1.7
87 posts measured
Reaction rate
โ
this channel exposes no reaction counts
Posts in window
87
of 87 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) รท viewsโ note the denominator is views, not subscribers. Telegramโs public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days ยท latest post in window 12 August 2026
Posts held
87 (7 August 2026 โ 12 August 2026)
Views total
145
Reactions total
โ
Forwards / comments
not exposed by the public surface โ not measured, not estimated
Readings taken
12 Aug 2026, 10:16 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than โcorrectingโ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form โ 8.12K, 3.7M โ so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded โ read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
1m 15s
Average length
8s
Measured directly from 10 videos with a duration reading, out of the posts we hold for this channel โ not this channelโs whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegramโs own rounded chrome, so it carries no โ mark.
Target hit TP 2! 55 pips locked and loaded! ๐
Time to cash in, risks are off the table, and the win is sweet. Let the account smile back at you. ๐ธ๐
Running in blue this setup !
Alpha breakout on top !
45pips Buy
Collect half and breakeven guys your position okay ? ๐
Showing the 12 most recent of 87 posts we hold for @Crazybull_Forexs. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked โ was rounded by Telegram before we ever saw it โ t.me prints views in full below 1,000 and to three significant figures above, so โ1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 12 August 2026 โ this
entry's latest reading, not the date you are reading this.
โ๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐โขยฎ ๐โ (@Crazybull_Forexs), 16,079 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Crazybull_Forexs.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV ยท JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.
