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 10 August 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 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 1 other registered channel. 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.
Matching posts — 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 — 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 6 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.
“Published first” means first in this corpus. We hold 16 comparable posts for this entry, running 13 October 2025 to 31 July 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.
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 2, the earliest publisher we hold is @bender_live. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, 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.
7 measurements spanning 4 days, net -28,806. 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 3,251–40,699 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 05:55
7,572
-6,211
11 Aug 2026, 09:13
13,783
-33
10 Aug 2026, 08:11
13,816
-6,333
9 Aug 2026, 11:32
20,149
-2,760
8 Aug 2026, 12:00
22,909
-13,469
7 Aug 2026, 19:46
36,378
no change
7 Aug 2026, 19:35
36,378
first reading
Engagement
18 posts held, back to 11 October 2025 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 14 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
62.2%
avg views ÷ 7,572 subscribers
Avg views / post
4,710
3 posts measured
Reaction rate
1.91%
reactions ÷ views · ER floor
Posts in window
3
of 18 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 31 July 2026
Posts held
18 (11 October 2025 – 31 July 2026)
Views total
14,130
Reactions total
270
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 17:20 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
14
Videos
1
Links
7
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
21s
Average length
21s
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.
Reaction mix
1,650 reactions across 17 posts, in 2 distinct kinds. The most used accounts for 99.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,649
99.9%
❤
1
0.061%
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 17 of the 18 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 1,650reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 11 October 2025 to 31 July 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
1
across the posts below
Posts paid on
1
of 17 we hold a reading for · 6%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @RagandChill. 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 18 most recent posts we hold for this entry, published 11 October 2025 to 31 July 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.
🐂 На Bybit сейчас заметно доминируют покупатели
По данным CryptoQuant, объем рыночных покупок превышает объем продаж примерно в 20 раз 📈
Это говорит о том, что в моменте быки действуют гораздо активнее и готовы агрессивно выкупать предложения продавцов
Такой показатель часто говорит о сильном краткосрочном настрое участников рынка, но сам по себе не гарантирует дальнейший рост BTC 👀
Сейчас важно следить, сможет л…
🔫🐻🔫Каждый медвежий рынок «убивает» одну крупную CEX
В XTwitter уже целую теорию создали — каждый цикл заканчивается крахом какой-то значимой биржи, после чего начинается бычье ралли:
➖ 2014 год — крах Mt.Gox и последующий рост ВТС на 11860%
➖ 2018 год — BitGrail и рост на 2044%
➖ 2022 год — FTX и 687% роста
Теперь криптаны ждут повторение сценария и рост до $180к и выше🚀
👀 Многие заметили, что текущий цикл $BTC очень похож на 2018 год
График пока развивается по похожему сценарию: постепенное снижение, затем капитуляция, после которой начинается восстановление и новый бычий цикл 📉
Если эта закономерность сохранится, то дно рынка может сформироваться примерно в начале октября
🦠 Но пока расслабляться рано. До предполагаемого завершения медвежьего рынка еще есть время, поэтому риск ув…
Запустил второй канал Bull Trader, в котором буду публиковать свои сделки исключительно по стратегии волнового анализа.
Эта стратегия уже показывает отличные результаты в этом году, поэтому решил выделить её в отдельный канал.
https://t.me/+Gkl2C1T4ODs4MGNi
Доступ оставлю открытым только до завтра. После этого продолжу публиковать сделки только для тех, кто успел присоединиться.
Все, кто войдут сейчас, останутся …
📊Еще одно отличие текущего цикла $BTC от прошлых
В 2018 и 2022 годах индекс $OTHERSBTC падал вместе с биткоином-альткоины слабели одновременно с $BTC 📉
Но сейчас ситуация другая. Пока Bitcoin показывает снижение, альткоины относительно него выглядят сильнее 👀
Это один из факторов, из-за которого некоторые аналитики считают, что следующий цикл может быть очень сильным именно для альтов ⭐️
Конечно, это не гарантия …
💰 Binance всё сильнее выходит за рамки обычной криптобиржи
В июне на нее пришлось около 80% рынка perpetual-фьючерсов на акции среди криптобирж — объём торгов достиг $53,8 млрд 💹
Это примерно в 6 раз больше, чем у ближайшего конкурента
Общий интерес к таким продуктам тоже растет — недельный объем деривативов на централизованных биржах достиг рекорда в $11,6 млрд
Сейчас криптобиржи постепенно превращаются в универ…
🇿🇦 В ЮАР начинается налоговая охота на криптанов — регулятор проверит около 6 000 000 пользователей крипты и уже выпустила гайд, как декларировать сделки, доходы и прибыль.
Анонимная «я просто холдил» эпоха там заканчивается — теперь налоговая хочет видеть кошельки, трейды и налоги✨
👇$BTC закрыл уже второй квартал подряд в минусе
Основное падение пришлось на июнь-за месяц биткоин потерял около 20%, а Ethereum снизился ~ на 21% 📊
Новый квартал BTC тоже начал с падения, опустившись ниже $58k. Сейчас цену постепенно откупают, потому что многие считают, что дно уже где-то рядом 👀
При этом есть и те, кто ждет продолжения снижения. Некоторые аналитики считают, что биткоин еще может уйти в район $49…
🌐 ЦБ РФ допустил хранение криптовалюты на холодных кошельках, но только вне российской юрисдикции.
▫️Как заявил первый зампред Центробанка Владимир Чистюхин:
Хранение криптовалюты в рамках российской юрисдикции возможно лишь через кастодиальные кошельки. Однако россияне смогут самостоятельно хранить свои криптоактивы на некастодиальных (холодных) кошельках, но только вне России.
Использовать криптовалюту для оплат…
🐦 Что там с эфиром?
Спотовые ETF на Ethereum фиксируют оттоки уже 7 недель подряд. Это самая длинная серия с момента запуска.
С мая совокупный чистый приток в ETH-ETF просел примерно на $1 млрд.
На этом фоне Ethereum Foundation тоже мутят переворот:
— минус 54 позиции (сокращение 20% штата)
— бюджет урезают на 40%
⚪ Добавляет давления и история с BitMine. Их ETH-портфель снова близок к нереализованному убытку по…
🐦 Токенизированные акции ставят рекорды
Объем торгов токенизированными акциями по всем сетям в прошлом месяце достиг $5,3 млрд. Это новый исторический максимум и рост на 44% за месяц.
На Solana общий объем переводов токенизированных акций впервые превысил $10 млрд. Только за последний месяц объемы выросли на 180%.
🔥 Главный драйвер - спрос на RWA-продукты, которыми можно торговать 24/7, в отличие от обычного фондо…
🐦 Strategy докупила 520 BTC
За последнюю неделю компания купила еще 520 BTC ($35 млн) и параллельно увеличила денежный резерв на $400 млн.
👍118
Showing the 12 most recent of 18 posts we hold for @RagandChill. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 — this
entry's latest reading, not the date you are reading this.
“Rag & Chill” (@RagandChill), 7,572 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/RagandChill.
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.