Channel
@news_crypto_coins
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
2,398subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001265171324 |
|---|---|
| Type | Channel |
| Username | @news_crypto_coins |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/news_crypto_coins |
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 11 August 2026 and assigned it the closest of 31 fixed categories, at 82% 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.
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.
Posts published here appear word for word on 1 other registered channel. They sit inside a group of 377 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @Bitcoin_CryptoNews/617430 Jul 2026, 06:10 UTC | @news_crypto_coins/1531 · this entry30 Jul 2026, 06:47 UTC | 1.00 | 37 minutes |
| @Bitcoin_CryptoNews/61822 Aug 2026, 06:44 UTC | @news_crypto_coins/1534 · this entry2 Aug 2026, 06:59 UTC | 1.00 | 14 minutes |
| @Bitcoin_CryptoNews/61843 Aug 2026, 05:59 UTC | @news_crypto_coins/1535 · this entry3 Aug 2026, 06:28 UTC | 1.00 | 29 minutes |
| @Bitcoin_CryptoNews/61874 Aug 2026, 06:31 UTC | @news_crypto_coins/1536 · this entry4 Aug 2026, 07:01 UTC | 1.00 | 31 minutes |
| @Bitcoin_CryptoNews/61905 Aug 2026, 06:05 UTC | @news_crypto_coins/1537 · this entry5 Aug 2026, 06:35 UTC | 1.00 | 30 minutes |
| @Bitcoin_CryptoNews/61936 Aug 2026, 06:11 UTC | @news_crypto_coins/1538 · this entry6 Aug 2026, 06:42 UTC | 1.00 | 31 minutes |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @Bitcoin_CryptoNews | 6 (6/6 hand-verifiable sample passed) | 1.00 | 30 minutes | @Bitcoin_CryptoNews (6–0) |
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 — 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. 1 of the 6 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 17 comparable posts for this entry, running 20 July 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 detector’s 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.
Across the whole group of 377, the earliest publisher we hold is @mash. That is a statement about our reading window, not a claim of authorship.
12,700 average views per post against 2,398 subscribers — an engagement rate of 527.8%. Across the 54,164 registered channels in the same cohort — 1,000–3,162 subscribers, posting mainly in Russian — the middle half sit between 10.5% and 35.6%, with a median of 20.1%.
| Window | 30 days (13 July 2026 – 12 August 2026) |
|---|---|
| Posts measured | 20 of 20 published in the window (0 exact, 20 rounded by Telegram) |
| Views totalled | 253,140 |
| Mature posts only | 547.6% over 19 posts read at least 24h after publication |
| Subscribers | 2,398 measured 10 August 2026 |
| Cohort | b1000:rus · 54,164 channels · p10 5.33% · p25 10.5% · p50 20.1% · p75 35.6% · p90 57.1% |
| Position in cohort | 99.932th percentile · 26.3× the cohort median |
| Uncertainty | ±0.13% of the figure, from Telegram’s rounding |
| Post language | Russian · 100.0%of the window’s posts |
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above 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 keys clone_copy · err_high, 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.
This channel’s posts match, word for word or near enough, posts on 376 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 — 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 — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s 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 — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
326 more channels are in this same group but not listed individually here.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 17:31 | 2,398 | -1 |
| 7 Aug 2026, 09:31 | 2,399 | no change |
| 7 Aug 2026, 09:21 | 2,399 | first reading |
20 posts held, back to 19 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 2 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (19 July 2026 – 7 August 2026) |
| Views total | 253,140 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:36 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.
Measured directly from 1 video 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.
🦊 MetaMask запустили Agent Wallet — кошелёк для ИИ-агентов, который позволяет им самостоятельно выполнять криптотранзакции с заданными лимитами и правилами. Все операции проходят симуляцию и проверку безопасности, а сделки покрываются страховкой Transaction Protection до $10 000 в месяц.
🤯 Uniswap (UNI) запустил лаунчпад для мемкоинов в сети Robinhood Chain Uniswap представил платформу Pools для выпуска токенов на Robinhood Chain, поддерживающую два механизма - Crowd Launch и Instant Launch. Платформа автоматически реинвестирует ликвидность, защищает от MEV-атак и предусматривает бессрочную блокировку ликвидности.
✊ Coinbase переведёт клиентов на Deribit 9 сентября Позиции по бессрочным контрактам автоматически закроются по mark price, балансы переведутся, позиции воссоздадутся по цене расчёта. Возможен сброс средней цены входа и небольшое расхождение по PnL. Отказаться можно, закрыв позиции до даты перехода.
😅 BlackRock запустил два ончейн-фонда для резервов стейблкоинов на Ethereum • BSTBL - токенизированный класс акций существующего фонда Select Treasury Based Liquidity Fund на Ethereum. • BRSRV - новый фонд для институциональных клиентов, ориентированный на управление резервами стейблкоинов. Оба фонда инвестируют в наличные средства, краткосрочные казначейские облигации США и сделки репо. В компании объяснили запуск…
🔄 Доля DEX-бирж в спотовой торговле выросла до рекордных 24% от объёма CEX — максимум с начала наблюдений в 2019 году. Ещё в 2024-м показатель держался ниже 10%, а теперь децентрализованные биржи уже забирают почти четверть рынка.
📈 Американские спотовые биткоин-ETF завершили июль с чистым притоком $172,4 млн — впервые с апреля. До этого фонды теряли деньги два месяца подряд: за июнь отток достиг $4,5 млрд, что стало худшим значением с запуска продуктов в январе 2024 года. Ethereum-ETF собрали $365,2 млн и показали четыре недели притока подряд. XRP-структуры привлекли $27,3 млн, Solana-инструменты — $14,6 млн.
💵 Circle получила трастовый чартер Нью-Йорка Эмитент стейблкоина USDC — компания Circle — получила лицензию limited-purpose trust charter от регулятора штата Нью-Йорк (NYDFS). Документ выдан на дочернюю структуру Circle Internet Trust Company. Чартер позволяет компании оказывать фидуциарные услуги и услуги кастодиального хранения активов по законодательству штата. Это уже второй крупный регуляторный успех Circle за…
🗽 Американские публичные компании держат 1 240 000 BTC — почти 93% всех корпоративных запасов биткоина в мире. За последний год они докупили ещё 510 000 BTC — более чем втрое больше, чем майнеры успели добыть за тот же период.
📊 Согласно CoinGlass, объем торгов криптодеривативами в первом полугодии сократился на 15,7%, до $35,08 трлн. На топ-10 бирж пришлось 81,2% оборота, на топ-5 — 61,2%. Открытый интерес снижался медленнее торговой активности. За полугодие ликвидации достигли $73,35 млрд, причем 62,2% пришлось на длинные позиции. Аналитики предупредили, что накопление позиций при слабой ликвидности повысит чувствительность рынка к цен…
🚬 Эти криптопроекты привлекли $7.5 млрд инвестиций, а за последние сутки заработали всего $1 306 — при таком уровне доходов на возврат вложенных средств потребуется более 15 000 лет.
📉 Капитализация стейблкоинов снизилась примерно на $10 млрд от майского пика и опустилась до $300 млрд — крупнейшее падение со времён краха Terra в 2022 году. Однако это не мешает их использованию, только в июне через стейблкоины прошёл рекордный объём транзакций — $1.79 трлн, что показывает переход рынка от простого хранения и спекуляции к активным платежам.
☔️ Storj Labs, ранее привлекшая $35 000 000, объявила о добровольной финансовой реструктуризации, фактически запустив процедуру банкротства для урегулирования накопившихся долгов. На данный момент компания продолжит работу в обычном режиме, а после завершения процесса совладельцами компании станут менеджмент, сообщество, держатели токена STORJ и инвесторы.
Showing the 12 most recent of 20 posts we hold for @news_crypto_coins. 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 — 981,290 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.
Named by 2 registered channels — 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.
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.
“Новости Криптовалют NFT DeFi IDO” (@news_crypto_coins), 2,398 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/news_crypto_coins.
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.