Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 12 August 2026 and assigned it the closest of 31 fixed categories, at 85% confidence. This is a model’s 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 — 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.
Views per post sit far below this size band
42.4 average views per post against 3,764 subscribers — an engagement rate of 1.13%. Across the 2,678 registered channels in the same cohort — 3,163–9,999 subscribers, posting mainly in Ukrainian — the middle half sit between 13.7% and 38.9%, with a median of 23.2%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
22 of 22 published in the window (22 exact, 0 rounded by Telegram)
Views totalled
933
Mature posts only
1.22% over 18 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 3× away from that cohort’s median — below it — 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 — 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 channel’s 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 key 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 — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
3 measurements spanning 3 days, net -5. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 3,763–3,770 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 17:43
3,764
-3
7 Aug 2026, 21:46
3,767
-2
7 Aug 2026, 13:47
3,769
first reading
Engagement
22 posts held, back to 1 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
1.13%
avg views ÷ 3,764 subscribers
Avg views / post
42.4
22 posts measured
Reaction rate
10.9%
reactions ÷ views · ER floor
Posts in window
22
of 22 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) ÷ views— note the denominator is views, not subscribers. Telegram’s 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 · latest post in window 7 August 2026
Posts held
22 (1 August 2026 – 7 August 2026)
Views total
933
Reactions total
102
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 06:14 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 “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — 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 — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Reaction mix
102 reactions across 21 posts, in 8 distinct kinds. The most used accounts for 23.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
24
23.5%
❤
23
22.5%
⚡
17
16.7%
👏
12
11.8%
👀
11
10.8%
🤔
8
7.84%
😁
6
5.88%
🤯
1
0.98%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 22 of the 22 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 102reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 1 August 2026 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
🇰🇷 Bybit захоплює крипторинок Південної Кореї!
Компанія Bybit активно веде переговори щодо придбання біржі Korbit — четвертої за обсягами торгів криптобіржі в Південній Кореї.
Якщо угода відбудеться, Bybit значно посилить свої позиції на азійському ринку та отримає доступ до одного з найдинамічніших криптосегментів у світі.
💬 Це може стати серйозним кроком у конкуренції з такими гігантами, як Upbit та Bithumb.
IN…
🇪🇸 В Іспанії затримали «Cryptospain» — організатора криптопіраміди на $300 000 000, який залучив понад 3000 інвесторів, обіцяючи 20% річних.
🔍 Слідство називає схему класичною фінансовою пірамідою з офшорними переказами щонайменше у восьми країнах. Суд відмовив у заставі через високий ризик втечі.
⚖️ Також перевіряється політична лінія: Кастільйо переказав $115 000 у крипті ультраправому політику Луісу «Алвісе» Пер…
😳 Пошук недоліків в екосистемі Біткоїна триває
Через 55 годин досліджень команда Bitcoin Red Team опублікувала нові
результати аудиту:
• Масштаб перевірки: проаналізовано вже 425 проєктів, у яких виявили 6 700 потенційних проблем.
• Рівень загрози: 1 029 уразливостей отримали високий або критичний рівень ризику (це 15,4% від усіх знахідок).
• Верифікація: фахівці намагаються вручну відтворювати кожну критичну уразл…
🚨 SEC отримала доступ до мільярдів записів
🤔 авіакомпаній для стеження за мандрівниками
Комісія з цінних паперів і бірж США (SEC)
🤫 суттєво розширила свої інструменти спостереження, отримавши доступ до масштабних баз даних із мільярдами записів про перельоти пасажирів по всьому світу.
INFO 💻 CHAT
🇰🇿 Блогера Кайсара Камзу оголосили в міжнародний розшук
⚖️ Суд заарештував його криптоактиви на 182 736 USDT. Обрано запобіжний захід — тримання під вартою
Казахстанського інфлюенсера з 2,4 млн підписників в Instagram підозрюють у пособництві незаконній гральній діяльності.
🎰 Протягом близько 5 років він:
➖ рекламував онлайн-казино Pinco
➖ розміщував посилання на азартні ігри
➖ просував власний промокод
💰 Винагор…
😂 Microsoft звільняє 200 програмістів, щоб замінити їх ШІ, який вони ж і створили
Їм обіцяли: нейромережа візьме на себе рутину, а в людей з’явиться більше часу для креативу.
Але, схоже, хлопці трохи перестаралися — тепер вільного часу в них буде дуже багато 🤝
INFO💻 CHAT
⚡️ «Crypto is Dead?» У 2026 році ринок проходить наймасштабнішу зачистку проєктів
🤔 Хвиля закриттів Web3-проєктів досягла пікових значень навесні 2026 року. За даними аналітичних сервісів (зокрема RootData), з початку року припинили існування, збанкрутували або фактично заморозили діяльність близько 100 криптопроєктів.
📉 Хто не витримав ринок?
Зачистка торкнулася практично всіх секторів: L2-мереж, DeFi-протоколів, …
📉 Інвестори 12 днів поспіль не вклали жодного цента в HYPE ETF: відтік сягнув майже $30 млн
🤔 Після бурхливого старту інституційний інтерес до ETF на базу Hyperliquid (HYPE) різко згас. За даними CryptoSlate, ETF на HYPE провели 12 торгових сесій поспіль (з 17 липня по 3 серпня) без жодного припливу капіталу.
🤫 Трендові наративи показують, що навіть найпопулярніші альткоїн-ETF стикаються із серйозною перевіркою лік…
🚨 ФБР затримало підозрюваного у крадіжці $46 млн
ФБР затримало Джона Дагіту - сина керівника компанії, пов’язаної зі зберіганням конфіскованих криптоактивів для Служби федеральних маршалів США. Його підозрюють у крадіжці $46 млн у криптовалюті з активів, що перебували під контролем відомства.
🔍 За даними слідства, підозрюваний сам частково видав себе - він хизувався мільйонами у закритих Telegram-чатах, після чого …
🙁 Паніка рівня FTX: інвестори масово виводять біткоїни після злому Coldcard
🤫 Аналітики CryptoQuant зафіксували потужний сплеск активності в мережі Bitcoin. На тлі новин про проблеми з безпекою апаратних гаманців Coldcard користувачі почали масово переказувати свої кошти на інші адреси.
🤔 Лише за 31 липня дрібні холдери (із балансом до 1 BTC) перемістили 39,600 BTC.
INFO 💻 CHAT
📉 Вакансії в крипті впали на 80%
На початку 2026 року криптокомпанії масово скорочують співробітників. Великі гравці вже звільнили сотні людей, і це лише початок хвилі.
Основні причини:
⚫️падіння ринку
⚫️оптимізація витрат
⚫️активне впровадження ШІ, який замінює частину команди
📩 Паралельно різко просів попит на спеціалістів - кількість нових вакансій скоротилась приблизно на 80% за рік.
INFO💻 CHAT
❤2⚡1👀1👏1🔥1😁1
Showing the 12 most recent of 22 posts we hold for @dexcd_crypto. 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 ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 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.
Citation-graph rank
Citation-graph rank — 923,611 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@dexcd_crypto named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@dexcd_info named in 1 post, 8 August 2026 – 8 August 2026
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“🔱DEXCD | Crypto” (@dexcd_crypto), 3,764 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/dexcd_crypto.
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 · 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.