20 measurements spanning 28 days, net -59. 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 9,970–10,047 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
3 Sept 2026, 15:19
9,979
-15
31 Aug 2026, 00:45
9,994
-7
29 Aug 2026, 01:08
10,001
-1
28 Aug 2026, 00:35
10,002
-6
26 Aug 2026, 04:05
10,008
-1
25 Aug 2026, 03:56
10,009
-3
24 Aug 2026, 01:43
10,012
-4
22 Aug 2026, 08:06
10,016
+1
21 Aug 2026, 01:53
10,015
+1
20 Aug 2026, 00:35
10,014
-5
18 Aug 2026, 22:06
10,019
-8
17 Aug 2026, 20:15
10,027
-2
16 Aug 2026, 15:23
10,029
-3
13 Aug 2026, 17:16
10,032
-4
11 Aug 2026, 15:24
10,036
+8
10 Aug 2026, 15:05
10,028
-7
9 Aug 2026, 11:54
10,035
+1
8 Aug 2026, 15:22
10,034
-2
7 Aug 2026, 13:41
10,036
-2
6 Aug 2026, 19:02
10,038
first reading
Engagement
49 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 38 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.2%
avg views ÷ 9,979 subscribers
Avg views / post
1,320
32 posts measured
Reaction rate
2.03%
reactions ÷ views · ER floor
Posts in window
32
of 49 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 30 of 32 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 26 August 2026
Posts held
49 (3 August 2026 – 26 August 2026)
Views total
42,123
Reactions total
798
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 04:21 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.
Reaction mix
1,123 reactions across 46 posts, in 20 distinct kinds. The most used accounts for 43.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
490
43.6%
🔥
294
26.2%
❤
200
17.8%
😁
46
4.10%
🤝
25
2.23%
👏
19
1.69%
💯
9
0.801%
👨💻
7
0.623%
👌
6
0.534%
😢
5
0.445%
🥰
4
0.356%
❤🔥
3
0.267%
🤔
3
0.267%
🫡
3
0.267%
🆒
2
0.178%
👀
2
0.178%
🙏
2
0.178%
⚡
1
0.089%
😇
1
0.089%
🤗
1
0.089%
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 46 of the 49 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 1,123 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 49 most recent posts we hold, published 3 August 2026 to 26 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
2
of 49 we hold a reading for · 4%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @cryptoark_noah. 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 49 most recent posts we hold for this entry, published 3 August 2026 to 26 August 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.
🏆 Второй сезон «Гонки на Миллион» на OKX: $1 000 000 в наградах ждут!
Два лидерборда. Одно состязание. Торгуйте и заберите до $295 000, годовую подписку TradingView и другие награды.
Призы:
◆ $900 000 — лидерборд по споту/деривативам
◆ $100 000 — лидерборд xStocks/контрактов на акции
◆ 50 подписок TradingView
◆ $5 000 — 10 USDT первым 500 трейдерам, совершившим сделку через TradingView
◆ Приглашения на эксклюзивное…
#BTR - я собирал позицию частями после каждого отката добавлял. НА проливе сбрасывал часть. В итоге получилось часть закрыть на проиливе, но цену снова потянули вверх и остатки позы закрылись по стопу в БУ. Но в целом я доволен трейдом, так как поза была норм.
Сейчас снова затаскивают вверх. Надо подождать, когда снова появится ТВХ в шорт.
#hot
🟡 Канал КОВЧЕГ 💬 Чат 🌐 YouTube
#TAC - я поторопился с первой сделкой и получил стоп. Было правильным дождаться перехай и снятие ликвидности, а потом шорт. И второе я слишком поскромничал с тейками. Можно было смело брать 1 к 3 к стопу предыдущему. Но даже 1 к 2 помог заработать не смотря на стоп. А вообще потенциал был до 19%. Я считаю отличная наглядная ситуация на рынке с быстрым завершением.
#hot
🟡 Канал КОВЧЕГ 💬 Чат 🌐 YouTube
На сегодня горячие активы для торговли:
#BTR - в топе. По ОИ видим, что его толкают маркет покупками. Очень агрессивно двигают и собирают ликвидации шортов. На данный момент уже начал образовываться дивер по NET OI. Скоро могут сбросить лонгов. Как вариант собрать волатильность и зашортить в подходящий момент, но высокий риск и надо ловить.
#BMT - тоже хороший кандидат на торговлю. Его поджимают вверх и скорее всег…
Первая полноценная неделя торговли с ИИ 📊
Начали с $50 000 и за неделю провели 3 реальные сделки:
— Brent — техническая ошибка при работе с MT5, -$2.06
— NASDAQ — хороший системный шорт, +$90.90
— DAX — обычный стоп по сценарию, -$53.98 gross
По итогу баланс недели: $50 034.24. То есть первая неделя осталась небольшим, но плюсом.
Но для меня сейчас интереснее даже не результат.
Мне пока очень непривычен MT5 — ошиб…
#BTC - по кластерам пока не вижу разворотных аргументов. По лимитам был наплав асков когда цена резко пошла вверх, но потом их убрали. Значит и лимитного сопротивления пока не наблюдается.
Продолжаю следить за обстановкой.
#BTC - как видим лимитные покупатели дали нам сегодня подсказку (рост бидов) и цену реально подтянули вверх. НА данный момент видим, что участники обменялись объёмами. Копятся объёмы выше боковика. По лимитам видим, что покупатели отступают, а вот аски накидывают.
Если цена уйдёт ниже этих кластеров, то это будет шортовый аргумент. Если и ниже боковика, то это усилит шорт. По крайней мере локальный.
Пока цену удерж…
Инструменты, которыми я пользуюсь каждый день в анализе рынка
Меня часто спрашивают: какие сервисы я использую для анализа?
Но здесь есть важный момент.
Сами по себе сервисы не делают вас лучше. Можно иметь 20 подписок и всё равно не понимать, что именно смотреть.
Главный вопрос сначала:
Какие данные мне нужны для принятия решения?
Зачем я их смотрю?
Как они помогают мне сформировать сценарий?
Когда есть ответы на…
🐯Tiger.com продолжает улучшать свои сервисы для еще более эффективной торговли
Торговля в экосистеме Tiger.com стала еще удобнее за счет:
1. Встроенного в личный кабинет Tiger broker Скринера рынка, включающего 10 бирж CEX и DEX.
2. Возможности торговли по web-хукам напрямую с Trading View используя собственные стратегии.
3. Групповых аллертов, позволяющих делиться своими или перенимать опыт успешных трейдров.
А т…
❤5👏2
Showing the 12 most recent of 49 posts we hold for @cryptoark_noah. 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.
Posts edited after publishing
@cryptoark_noah edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
25 August 2026
Most recent edit
26 August 2026
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Есть бизнес вне крипты, крипта интересна как дополнительное направление18%
Вообще не торгую, просто слежу за рынком14%
The shares total 120%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 49 most recent posts we hold, published 3 August 2026 to 26 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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
Named by 4 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.
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.
Pursuit4Million|Андрей Соболев @P4M_channel · 34,465 Telegram ranks this channel #33 of 85 here — alongside 84 others — read 3 September 2026
MMarketmaker @mmrktmkr · 42,824 Telegram ranks this channel #42 of 78 here — alongside 77 others — read 28 August 2026
DНЕВНИКИ Крипто @dnevniki_crypto · 33,490 Telegram ranks this channel #46 of 84 here — alongside 83 others — read 4 September 2026
Биржевой Монарх @BMonarch_official · 43,858 Telegram ranks this channel #46 of 94 here — alongside 93 others — read 28 August 2026
This channel appears in 4 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 3 September 2026 — this
entry's latest reading, not the date you are reading this.
“КОВЧЕГ” (@cryptoark_noah), 9,979 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/cryptoark_noah.
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.