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 8 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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 (5 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. 2 of the 5 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 22 comparable posts for this entry, running 3 August 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.
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 @cryptodaily. That is a statement about our reading window, not a claim of authorship.
Views and reactions moved apart
On 16 of the 26 posts we watched over 30days, the view counter climbed while the reaction counter stayed where it was — by more than this channel’s own reactions-per-view rate can account for. That rate, measured on this entry, is 0.1538 reactions per view.
Each interval, as we read it — views and reactions before and after
Expectedis the view gain multiplied by this channel’s own prior reactions-per-view rate over the same post — not a corpus average, so a channel whose audience never reacts is compared only against itself. Every interval is credited in the direction that makes the observation harder to record, never easier: t.me renders views and reactions to three significant figures above ~1,000, so a raw delta can be a rendering step. Every delta below is at least 4 x the coarser reading's step, the view gain is discounted by a full step and the reaction gain credited with one. Measured by tgregister velocity.py (our own t.me/s/ readings).
What this does and does not say.It says the two counters moved apart, by more than rounding and more than this channel’s own history predicts. It asserts no cause. Views arriving from outside Telegram, an embedded or forwarded copy of the post, and a burst of readers who simply do not react all produce this shape. This detector has recorded very few observations across the whole register, and its precision has not been measured; treat it as an anomaly worth looking at, not as a finding.
Recorded under the keys clone_copy · view_reaction_decoupling, last confirmed 13 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.
8 measurements spanning 6 days, net +1,908. 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 1,057,290–1,061,434 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 09:05
1,060,767
+567
12 Aug 2026, 11:05
1,060,200
-670
11 Aug 2026, 12:12
1,060,870
+343
10 Aug 2026, 14:34
1,060,527
-429
9 Aug 2026, 13:01
1,060,956
+3,188
8 Aug 2026, 11:46
1,057,768
-1,091
7 Aug 2026, 12:30
1,058,859
no change
7 Aug 2026, 12:27
1,058,859
first reading
Engagement
44 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
3.25%
avg views ÷ 1,060,767 subscribers
Avg views / post
34,500
44 posts measured
Reaction rate
13.7%
reactions ÷ views · ER floor
Posts in window
44
of 44 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 13 August 2026
Posts held
44 (3 August 2026 – 13 August 2026)
Views total
1,518,610
Reactions total
208,599
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 11:42 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
Video runtime
1m 11s
Average length
24s
Measured directly from 3 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.
View velocity
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
Computed from 26 of this channel’s own posts over the last 30 days: across 23of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 5.2 hours of being posted; a typical post has already reached 24.0% of its 24-hour view count within the first hour, and 57.9% within the first six; the median 24-hour reach across those posts is 31,350 views — 2.96% of this channel’s own subscriber count (90th percentile 35,580).
8 most recently posted, with a view-velocity reading
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed viewsis the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
Reaction mix
208,599 reactions across 44 posts, in 64 distinct kinds. The most used accounts for 9.00% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
18,765
9.00%
🔥
16,367
7.85%
👍
16,161
7.75%
🤔
9,698
4.65%
👀
9,346
4.48%
🙏
8,731
4.19%
👏
7,885
3.78%
🌚
7,097
3.40%
⚡
7,063
3.39%
🤡
6,997
3.35%
💯
6,684
3.20%
🙉
6,259
3.00%
🏆
6,172
2.96%
👌
5,230
2.51%
😁
5,099
2.44%
✍
5,054
2.42%
🐳
4,515
2.16%
🤯
4,317
2.07%
😢
3,155
1.51%
🎉
2,935
1.41%
44 further kinds
51,069
24.5%
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 44 of the 44 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 208,599reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 3 August 2026 to 13 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.
😮 Большинство трейдеров теряют деньги, потому что нарушают эти правила.
И самое забавное — в них нет ничего секретного.
Они становятся невероятно сложными только тогда, когда на кону оказываются реальные деньги.
1. Сначала определите, где вы ошибётесь, а уже потом — где можете заработать. Если у сделки нет точки, после которой сценарий считается недействительным, значит, это не сделка, а надежда.
2. Сначала оцени…
🥇 BTC может сходить еще ниже, – аналитики CryptoQuant
На графике уже вырисовывается бычья дивергенция: цена обновляет минимумы, тогда как индикатор страха и жадности не упал ниже.
🥇 Если взглянуть на прошлые медвежьи рынки, сейчас все очень похоже на сентябрь 2014-го, июль 2018-го или июнь 2022-го. Тогда первые дивергенции тоже давали быкам ложную надежду, а впереди ждала финальная волна капитуляции.
🥇 И вот тепер…
💴 CEO Strategy объяснил, почему компания перестала покупать биткоин
Майкл Сэйлор является исполнительным председателем, а операционным управлением сейчас занимается CEO компании Фонг Ле.
🥇 Последние 7 недель компания не покупала BTC, а две недели подряд даже продавала часть запасов. По словам Фонга Ле, это временная пауза, и она не связана с ценой биткоина
🥇 Сейчас Strategy сосредоточена на наращивании долларового…
🔤 ПОЧЕМУ ЗОЛОТО РАСТЁТ ТАМ, ГДЕ РАНЬШЕ ПАДАЛО
Есть график, который ломает старое правило.
Раньше всё было просто. Растут реальные ставки — золото падает. Логика железная: зачем держать металл, который не платит процент, если облигация начала платить нормально?
Так работало пятнадцать лет. И вдруг перестало.
С 2022 года реальные ставки в США ползут вверх — а золото не падает. Оно улетает. Сейчас унция около 4 400 …
📝 Рынок массово залетает в шорт по BTC и ETH
Карта ликвидаций показывает, сколько заемных позиций закроется принудительно при определенной цене актива.
🥇 Если биткоин резко вырастет до примерно $70,330, объем принудительно закрытых шортов превысит $4.92 млрд
🥇 Если Ethereum резко вырастет до примерно $2,083, объем закрытых шортов превысит $2.46 млрд
Сейчас трейдеры накопили заметно больше ставок на падение, чем н…
🥇 Хейс: Укрепление цены может вернуть долларовую ликвидность
Артур Хейс в новом эссе "Yen-quake" описал три способа поддержать иену и как это поможет битку:
1. Банк Японии может резко повысить ставки.
2. Власти могут убедить GPIF и другие местные институты продавать иностранные активы и покупать японские.
3. Минфин Японии может передать казначейские облигации США ФРС по сделкам репо, получить доллары, а затем про…
💴 Компания Трампа сократила биткоин-резервы, а потом резко их нарастила
🥇 На конец июня баланс Trump Media снизился до 9,477 BTC ($557 млн). Для сравнения: на конец марта компания контролировала 9,542 BTC, а еще раньше резервы доходили до 11,500+ BTC
🥇 Убытки за первое полугодие 2026 года по цифровым активам составили $360.6 млн, в основном нереализованные, на фоне снижения цены BTC и CRO
🥇 Позиция по CRO (756.1 м…
⚫️ ОДНОЙ ПРАВИЛЬНОЙ СТРАТЕГИИ НЕ СУЩЕСТВУЕТ
В прошлом посте разобрали, куда может утащить рынок ставка по 10-летним облигациям США. Вы попросили продолжение — что конкретно делать. Держите.
Сразу оговорюсь: это не сигналы и не рекомендации. Это ЛОГИКА. Как я сам думаю.
ГЛАВНОЕ, ЧТО НУЖНО ПОНЯТЬ
Большинство людей ищут одну правильную кнопку. Одну стратегию на все времена. Такой не существует.
Рынок ходит фазами. …
📚 CryptoQuant: Майкл Сэйлор потерял более $102 млн на продаже BTC
Речь о совокупном реализованном убытке компании Strategy (бывшая MicroStrategy), крупнейшего корпоративного держателя биткоина в мире.
💤 22 декабря 2022: продажа 704 BTC с убытком $9.6 млн
💤 31 мая 2026: продажа 32 BTC с прибылью $46,000
💤 5 июля 2026: продажа 3,588 BTC с убытком $54.8 млн
💤 2 августа 2026: продажа 1,638 BTC с убытком $18.8 млн
💤 9 а…
💴 Биткоин пятнадцать лет был «только про деньги». А потом один разработчик засунул прямо внутрь него картинки — и расколол сообщество надвое.
🥇 Речь про Ordinals. В начале 2023-го программист Кейси Родармор придумал способ «вписывать» произвольные данные — картинки, текст, даже музыку и мини-игры — прямо в отдельные сатоши (это мельчайшая частичка биткоина, одна стомиллионная). По сути, он сделал на биткоине NFT. Бе…
📚 ПОКУПАТЬ НА ХАЯХ ВЫГОДНЕЕ, ЧЕМ НА ДНЕ. Звучит как бред — но цифры говорят именно так
Есть график, который ломает голову большинству инвесторов.
JPMorgan взял S&P 500 и посчитал всё с 1988 по 2023 год. Сравнили два подхода: покупать в случайный день — и покупать ТОЛЬКО тогда, когда рынок стоит на историческом максимуме. То есть в самый «страшный» момент, когда всё дорого и хочется подождать.
Вот что вышло:
Через…
🥇 ЭТОТ ПОТОЛОК УЖЕ ТРИ РАЗА ОТБИЛ РЫНОК. И ОН ВСЁ ЕЩЁ ВИСИТ НАД НАМИ
Посмотрите на график. Там есть зелёная линия. Она называется страшно — Short Term Holder Realized Price. Но смысл у неё детский.
Это средняя цена, по которой купил биткоин ВЕСЬ НОВЫЙ НАРОД. Все, кто зашёл в рынок за последние полгода. Не старики, которые сидят с 2017-го. А свежие ребята — те, кто увидел ракету в новостях и нажал «купить».
Сейчас …
⚡2,050🔥924❤713🤗561🤓388👻281🎃120💯83
Showing the 12 most recent of 44 posts we hold for @metaneftis. 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
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.
Domains linked from posts
5 domainsthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Crypto Neftis l Трейдинг, крипта, Web3” (@metaneftis), 1,060,767 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/metaneftis.
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.
