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 19 August 2026 and assigned it the closest of 31 fixed categories, at 95% 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
65.2 average views per post against 28,765 subscribers — an engagement rate of 0.227%. Across the 6,169 registered channels in the same cohort — 10,024–31,616 subscribers, posting mainly in Russian — the middle half sit between 5.60% and 24.2%, with a median of 11.9%.
What this was computed from
Window
30 days (7 September 2026 – 7 October 2026)
Posts measured
102 of 102 published in the window (102 exact, 0 rounded by Telegram)
Views totalled
6,654
Mature posts only
0.231% over 97 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 7 October 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
35 measurements spanning 58 days, net -1,907. 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 28,479–30,958 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
4 Oct 2026, 19:18
28,765
-253
26 Sept 2026, 23:37
29,018
-329
17 Sept 2026, 10:38
29,347
-52
15 Sept 2026, 06:40
29,399
-63
13 Sept 2026, 12:18
29,462
-58
11 Sept 2026, 14:58
29,520
-80
9 Sept 2026, 01:35
29,600
-102
5 Sept 2026, 21:19
29,702
-51
3 Sept 2026, 19:17
29,753
-46
2 Sept 2026, 12:54
29,799
-12
1 Sept 2026, 14:05
29,811
-43
31 Aug 2026, 16:36
29,854
-21
30 Aug 2026, 18:28
29,875
-49
29 Aug 2026, 15:59
29,924
-26
28 Aug 2026, 12:57
29,950
-41
27 Aug 2026, 11:15
29,991
-52
26 Aug 2026, 10:02
30,043
-35
25 Aug 2026, 11:26
30,078
-25
24 Aug 2026, 10:38
30,103
-52
22 Aug 2026, 17:08
30,155
first reading
Engagement
260 posts held, back to 3 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 91 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.227%
avg views ÷ 28,765 subscribers
Avg views / post
65.2
102 posts measured
Reaction rate
6.14%
reactions ÷ views · ER floor
Posts in window
102
of 260 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 101 of 102 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 6 October 2026
Posts held
260 (3 August 2026 – 6 October 2026)
Views total
6,654
Reactions total
407
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Oct 2026, 00:17 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
≈1,980
Videos
≈104
Links
≈1,390
Lifetime counters from Telegram’s own channel header, read 7 October 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 22s
Average length
27s
Measured directly from 12 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
2,283 reactions across 259 posts, in 12 distinct kinds. The most used accounts for 77.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,760
77.1%
🔥
223
9.77%
❤
210
9.20%
😱
55
2.41%
👎
13
0.569%
🤔
10
0.438%
🎉
3
0.131%
👏
3
0.131%
🙏
2
0.088%
🥰
2
0.088%
😁
1
0.044%
🙈
1
0.044%
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 259 of the 260 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 2,283 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 260 most recent posts we hold, published 3 August 2026 to 6 October 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.
🚀 ⚡ Aptos ускорит сеть в 55 раз — готовит MonoMove
Aptos Labs представила MonoMove — крупнейшее обновление движка сети за всю её историю. Это переработка ядра ради скорости и масштабируемости, а не косметика.
Что обещают по внутренним тестам:
– отдельные операции — до 55 раз быстрее
– размещение ордеров — в 22 раза
– пропускная способность — в 11 раз выше
Разработку планируют завершить до конца 2026 года, запус…
🔬 ⚡ Ethereum впервые связал L1 и L2 в одной транзакции
Контрибьютор Ethereum Economic Zone Эдуардо Антуня рассказал: проект провёл первую атомарную кроссчейн-транзакцию между Layer 1 и Layer 2 в основной сети. Раньше операции шли по очереди, и состояние между шагами могло измениться. Теперь всё связано в одну операцию: либо срабатывает целиком, либо не срабатывает вовсе.
Взаимодействие уровней Ethereum становится п…
🕵 💰 Ончейн-детектив ZachXBT вскрыл схему на $1 млрд
Больше года он вёл двойную игру: притворялся клиентом китайской группировки, которая, по его данным, отмыла свыше $1 млрд для северокорейской Lazarus Group.
Чтобы войти в доверие, вложил $349 700 личных денег и сознательно терял около 5% на каждой операции — платил за доступ к чужой кухне. Ставка сработала: расследование помогло отследить более $12 млн из средств,…
🔄 🧩 Polymarket переписывает ядро: Protocol V2 в мейннете
Старая основа 2019 года на Gnosis CTF уходит в прошлое. Вместо неё — единый контракт позиций ERC-1155, коллатерал pUSD и одна биржа с роутером под все типы рынков.
– Бинарные, neg-risk и комбинаторные рынки
– Оракулы UMA и Chainlink
– Кросс-чейн мосты и Data API V2 на Rust
– Аудит Certora и баг-баунти на $5 млн
С 5 по 30 октября V2 погоняют на пробных рын…
🚀 💰 DeepSeek привлекает $12 млрд — уже не просто стартап
Китайская DeepSeek закрывает крупнейший раунд в своей истории: по данным Bloomberg, компания привлекает $12 млрд при поддержке Tencent и производителя батарей CATL.
Что стоит за цифрами:
– первый раунд принёс более 50 млрд юаней (около $7,4 млрд)
– оценка превысила $50 млрд
– среди инвесторов — национальный фонд Китая
DeepSeek — разработчик, чьи открытые …
🏦 ⛓ BitMine почти собрала 5% всего эфира
Компания Тома Ли за неделю докупила 15 112 ETH — на балансе 6 016 414 монет. Это ~4,9% от всех 122,1 млн ETH в обращении, то есть 99% пути к цели «Alchemy of 5%». Темпы покупки замедляются вторую неделю подряд.
– 5 067 309 ETH уже в стейкинге — работает и приносит доход
– BitMine — крупнейшая ETH-казна и вторая в мире после Strategy с её 762 099 BTC
Почему это важно: один …
💼 📉 Минфин США отозвал свои же правила надзора за криптой
Речь о предложениях по нехостинговым кошелькам и криптомиксерам — то есть о том, как регулятор хотел контролировать «самостоятельное» хранение монет и сервисы, скрывающие транзакции.
Что это значит:
– правила так и не вступили в силу — их сняли с повестки;
– надзор за некастодиальными кошельками и миксерами остаётся без нового федерального каркаса;
– для …
🕵 💰 Как ZachXBT внедрился к отмывателям $1 млрд для Lazarus
Ончейн-детектив ZachXBT пошёл ва-банк: под видом клиента вошёл в доверие к участнику китайской преступной сети, отмывшей более $1 млрд для северокорейской Lazarus Group. Ради легенды вложил собственные $349k и терял по 5% на каждой сделке — лишь бы не вызвать подозрений.
Ставка сработала: собеседник начал заранее скидывать детали перемещения украденных сре…
🚀 🏦 OKX и NYSE запускают токенизированные акции
OKX и Intercontinental Exchange (ICE), владелец Нью-Йоркской фондовой биржи, готовят платформу для торговли токенизированными американскими акциями прямо в блокчейне. Их СП OKXICE уже уведомило SEC о запуске в рамках регуляторного исключения.
– Торговля пойдёт ончейн в сети X Layer.
– На старте — более 60 компаний: Apple, Nvidia, Microsoft, Amazon, Tesla, Coinbase, J…
📉 🪙 Крипта и AI: рекорды, уходы и осторожные ставки
Биткоин закрыл лучший III квартал с 2017 года — рынок на подъёме. Но неделя запомнилась не только ростом.
– MetaMask вывела валидаторов после инцидента в стейкинг-инфраструктуре
– Balancer и Blast объявили о сворачивании, BitMart предложила план выплат
– SEC представила новые правила хранения криптоактивов
OpenAI отказалась от релиза GPT-6.1 Astra, а Reuters из…
🚀 ⚡ Kimi K3 выдаёт себя за Claude — и это уже вопрос к США
Китайский стартап Moonshot AI выпустил модель Kimi K3, и она внезапно считает себя разработкой Anthropic. На это в интервью Axios указал министр финансов США Скотт Бессент.
Что известно:
– В Штатах подозревают, что Moonshot могла использовать технологии Anthropic при обучении модели.
– Kimi K3 обгоняет других китайских конкурентов вроде DeepSeek и вплотну…
💥 🔓 Взлом в сети Base: ушли 1 783 ETH
В L2-сети Base снова громкий инцидент: хакер вывел 1 783 ETH — это около $6 млн. Хранилище, откуда ушли средства, пока не привязано к конкретному протоколу, так что «кто пострадал» остаётся открытым.
1 783 ETH — сумма, которая уже делает этот взлом одним из самых заметных для Base за последнее время.
Почему это важно:
– Base — L2 на OP Stack, инкубируемый Coinbase, одна из са…
👍2❤1🔥1
Showing the 12 most recent of 260 posts we hold for @Coindigs. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 8 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Soloviev_money @mindmoney7 · 25,494 Telegram ranks this channel #2 of 65 here — alongside 64 others — read 13 September 2026
Crypta AD Смотрящего @cryptaad · 61,340 Telegram ranks this channel #2 of 83 here — alongside 82 others — read 23 August 2026
Про крипту в чулках 💋 @yourcryptogirl · 35,641 Telegram ranks this channel #3 of 78 here — alongside 77 others — read 1 September 2026
КриптоДрайв @crypto_dr1ve · 38,320 Telegram ranks this channel #6 of 75 here — alongside 74 others — read 30 August 2026
Crypto Bar @icryptobar · 83,022 Telegram ranks this channel #10 of 86 here — alongside 85 others — read 17 August 2026
КРИПТОЧАЙ @icryptotea · 78,691 Telegram ranks this channel #18 of 87 here — alongside 86 others — read 18 August 2026
Очко Олексія Кулеби @shkilmaksym · 226,806 Telegram ranks this channel #18 of 80 here — alongside 79 others — read 11 August 2026
MEM Notcoin @mem_notcoin · 81,933 Telegram ranks this channel #23 of 88 here — alongside 87 others — read 18 August 2026
Типичный Инвестор @eduardinvest · 1,332,196 Telegram ranks this channel #30 of 83 here — alongside 82 others — read 8 August 2026
Doctor Baks @doctorbaks · 113,942 Telegram ranks this channel #33 of 90 here — alongside 89 others — read 14 August 2026
Trugiant @trugiantcrypto · 156,715 Telegram ranks this channel #33 of 86 here — alongside 85 others — read 12 August 2026
KOSTIUKOV 💲CRYPTO💲 @CRYPTOBYSELF · 23,733 Telegram ranks this channel #37 of 77 here — alongside 76 others — read 16 September 2026
Памп @fuckthesol · 55,593 Telegram ranks this channel #44 of 84 here — alongside 83 others — read 26 August 2026
Крипто | Лента @prodengibar · 156,954 Telegram ranks this channel #54 of 84 here — alongside 83 others — read 12 August 2026
КСТАТИ, экономика @kstati_e · 100,384 Telegram ranks this channel #56 of 88 here — alongside 87 others — read 15 August 2026
Крипто @cryproseries · 38,716 Telegram ranks this channel #57 of 62 here — alongside 61 others — read 29 August 2026
📢 FUEL @fueljetton · 147,287 Telegram ranks this channel #68 of 83 here — alongside 82 others — read 28 August 2026
Fuel Jetton TON @fueljetton_en · 136,918 Telegram ranks this channel #83 of 86 here — alongside 85 others — read 28 August 2026
This channel appears in 18 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 4 October 2026 — this
entry's latest reading, not the date you are reading this.
“COIN DIGGERS” (@Coindigs), 28,765 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/Coindigs.
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.