Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 the other topics.
Growth
60 measurements spanning 90 days, net -1,861. 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 42,502–45,251 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
5 Nov 2026, 23:17
42,819
-54
4 Nov 2026, 20:21
42,873
-55
3 Nov 2026, 23:07
42,928
-47
3 Nov 2026, 00:24
42,975
-32
1 Nov 2026, 23:31
43,007
-54
31 Oct 2026, 22:58
43,061
-39
31 Oct 2026, 00:35
43,100
-63
29 Oct 2026, 22:49
43,163
-51
28 Oct 2026, 21:56
43,214
-56
27 Oct 2026, 20:55
43,270
-28
26 Oct 2026, 20:50
43,298
-34
25 Oct 2026, 19:51
43,332
-41
24 Oct 2026, 22:37
43,373
-55
23 Oct 2026, 23:19
43,428
-45
23 Oct 2026, 01:57
43,473
-26
22 Oct 2026, 03:31
43,499
-43
20 Oct 2026, 23:10
43,542
-37
19 Oct 2026, 19:56
43,579
-42
18 Oct 2026, 20:08
43,621
-43
17 Oct 2026, 19:00
43,664
first reading
Engagement
182 posts held, back to 29 July 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 178 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.705%
avg views ÷ 42,819 subscribers
Avg views / post
302
56 posts measured
Reaction rate
1.41%
reactions ÷ views · ER floor
Posts in window
56
of 182 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. It is computed over the 44 of 56 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 5 November 2026
Posts held
182 (29 July 2026 – 5 November 2026)
Views total
16,897
Reactions total
185
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 05:24 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.
What this channel posts
Photos
≈1,430
Videos
≈121
Links
≈800
Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
5m 46s
Average length
27s
Measured directly from 13 videos with a duration reading, out of the posts we hold for this channel — not this channel’s 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 Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
1,103 reactions across 166 posts, in 10 distinct kinds. The most used accounts for 32.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
361
32.7%
😁
218
19.8%
👍
176
16.0%
🔥
138
12.5%
🤔
122
11.1%
😢
38
3.45%
🤝
23
2.09%
✍
12
1.09%
🐳
11
0.997%
🙏
4
0.363%
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 167 of the 182 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 1,103 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 182 most recent posts we hold, published 29 July 2026 to 5 November 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.
Telegram Stars
Stars received
10
across the posts below
Posts paid on
7
of 182 we hold a reading for · 4%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @pankoff_crypto. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 182 most recent posts we hold for this entry, published 29 July 2026 to 5 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 3 of 56 posts held from the last 30 days (5.36%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🎯 ТОП ДНЯ (четверг, 5 ноября)
📉 Крипторынок потерял $140 млрд капитализации за четыре часа, а биткоин снизился на 5,85%.
📉 Индекс S&P 500 снизился на 4% за день, а американский фондовый рынок потерял $3 трлн капитализации.
🔐 Хакеры Binance перемещают украденную криптовалюту через тысячи кошельков и несколько блокчейнов, часть средств попала в китайские сети отмывания.
🏦 Крупнейший в Европе управляющий активами Am…
ZetaChain предложила остановить Layer 1 9 декабря
Сегодня ZetaChain запустила ончейн-голосование по предложению навсегда остановить выпуск блоков в своей сети Layer 1 9 декабря и перенести нативный ZETA в Solana в формате SPL с миграцией 1:1.
Голосование завершится 7 ноября. Одновременно проект планирует запустить ZetaLabs, приложение с фокусом на приватность и ИИ для финансовых рынков, где ZETA будет использоватьс…
Schroders с активами $1 трлн вышел на Solana
Инвестиционный гигант Schroders совместно с Centrifuge запустил на Solana токенизированную стратегию фонда Schroder ISF Emerging Market Bond. Фонд инвестирует в облигации государств и компаний развивающихся рынков.
🎯 ТОП ДНЯ (среда, 4 ноября)
🏛️ Демократы получили контроль над Конгрессом США: 54 места в Сенате и 232 в Палате, а также планируют расследовать криптосделки Трампа и его семьи.
₿ Биткоин поднялся до $81 136, после чего откатился к $80 500, а за час ликвидировали почти $269 млн коротких позиций.
🔐 Французский банк подтвердил кибератаку с предполагаемой кражей криптовалюты на $133 млн, при этом точная сумма пока не …
Демократы получили контроль над Конгрессом
Демократы заняли 54 места в Сенате и 232 в Палате представителей, хотя две сенатские гонки ещё не завершены. Перспективы CLARITY Act ухудшились: партия требует усилить защиту инвесторов и ограничить криптобизнес чиновников.
Биткоин поддерживают представители обеих партий
Майкл Сэйлор отметил поддержку биткоина республиканцами и демократами после выборов в США. Во Флориде избран губернатор-республиканец, поддерживающий федеральный BTC-резерв, а в Техасе сенатор-демократ, ранее голосовавший за резерв штата.
Илон Маск потратил $446 млн на поддержку республиканцев на выборах в США. Но деньги не помогли: партия потерпела серьёзные поражения.
По данным NYT, Маск вложил около $290 млн ещё и в кампанию 2024 года, помогая Трампу вернуться в Белый дом.
В итоге он стал крупнейшим политическим донором в истории США.
🇺🇦 В Украине одобрили законопроект о регулировании крипторынка.
Профильный комитет Верховной Рады поддержал законопроект №10225-д об обороте виртуальных активов. За проголосовали 20 депутатов.
Основные положения:
➤ Регулирование. Контроль над крипторынком получат Комиссия по ценным бумагам и Национальный банк Украины в пределах своих полномочий.
➤ Налоги. Налогом облагается только прибыль от продажи криптовалюты,…
Глава OKX раскритиковал Чанпэна Чжао
CEO OKX заявил, что интервью CZ вызывает у него отвращение, и обвинил экс-главу Binance в попытках дистанцироваться от ответственности после взлома и игнорировании вопросов безопасности.
9 из 10 ИИ-моделей обошли лимиты криптокошелька
Исследователи дали ИИ-агентам доступ к кошельку Circle и электронной почте. Девять из десяти моделей самостоятельно получили коды подтверждения и увеличили разрешённые расходы.
Единственной моделью, не ставшей этого делать, оказался Claude. Пока это только эксперимент, но проблема вполне реальная.
Fragment полностью отменил KYC
Сегодня на Fragment снова доступны покупка Telegram Stars, Premium и других продуктов без прохождения KYC. Верификацию ввели в ноябре 2024 года, а теперь отменили полностью.
❤2🙏2🔥1
Showing the 12 most recent of 182 posts we hold for @pankoff_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.
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.
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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“PANKOFF” (@pankoff_crypto), 42,819 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/pankoff_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.