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 61% 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. 1 of the 3 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 8 comparable posts for this entry, running 24 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.
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 @exponenta_invest. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, 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.
38 measurements spanning 62 days, net -186. 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 13,959–14,238 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 38
Measured (UTC)
Subscribers
Change
8 Oct 2026, 08:56
13,991
-15
3 Oct 2026, 23:20
14,006
-51
25 Sept 2026, 08:41
14,057
-22
18 Sept 2026, 22:00
14,079
+5
16 Sept 2026, 13:36
14,074
-13
14 Sept 2026, 19:57
14,087
-9
13 Sept 2026, 09:40
14,096
-3
11 Sept 2026, 09:42
14,099
-7
8 Sept 2026, 12:22
14,106
-14
5 Sept 2026, 03:37
14,120
-7
3 Sept 2026, 08:15
14,127
-5
2 Sept 2026, 01:14
14,132
-5
1 Sept 2026, 02:48
14,137
-6
31 Aug 2026, 05:14
14,143
-8
30 Aug 2026, 06:33
14,151
-5
29 Aug 2026, 06:13
14,156
-5
28 Aug 2026, 08:25
14,161
-4
27 Aug 2026, 10:38
14,165
-1
26 Aug 2026, 14:05
14,166
+3
25 Aug 2026, 17:32
14,163
first reading
Engagement
44 posts held, back to 24 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 51 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 44 posts for this entry, the most recent from 2 September 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
6m 30s
Average length
43s
Measured directly from 9 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
371 reactions across 35 posts, in 16 distinct kinds. The most used accounts for 31.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
117
31.5%
👍
115
31.0%
❤
73
19.7%
💯
16
4.31%
🐳
15
4.04%
😁
9
2.43%
👌
6
1.62%
👏
4
1.08%
🤔
4
1.08%
✍
3
0.809%
🍾
2
0.539%
🏆
2
0.539%
😇
2
0.539%
🎉
1
0.27%
😍
1
0.27%
🤝
1
0.27%
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 36 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 371 reactions 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 24 July 2026 to 2 September 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 44 we hold a reading for · 2%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @moex_arbitrag. 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 44 most recent posts we hold for this entry, published 24 July 2026 to 2 September 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.
124,1% годовых на сделке по Лукойлу 📈
18 августа в нашем закрытом клубе мы открыли сделку по ЛУКОЙЛу, а через 10 дней уже закрыли с результатом +3,4%.
За счет короткого срока сделки эти 3,4% в пересчете дают 124,1% годовых
10 дней в сделке и капитал снова свободен для следующей возможности 😉
За это и люблю арбитраж
Чтобы много зарабатывать на бирже, нужно много рисковать. Ну или жить у монитора 😁
По крайней мере, обычно это выглядит именно так: больше сделок, больше времени на анализ, новости, графики и постоянный контроль.
Но есть арбитраж.
Сейчас мы как раз подбили итоги работы нашего клуба за лето и собрали все сделки в одну таблицу.
За три месяца совершили 14 сделок. То есть никакой торговли с утра до вечера и десятков о…
Сегодня сын пошел уже во 2-ой класс.
Время летит очень быстро.
Помню, как вроде совсем недавно с коляской ходил, а тут уже бац и второй класс!
Желаю всем, чтобы ваши портфели росли так же быстро, как ваши дети.
Ну а время пролетит незаметно. Поверьте мне. Особенно те, кому сейчас еще нет 30.
Утро началось позитивно 😁
Спонсор позитива - рост доллара
За счёт того, что ставку на рост доллара я реализовываю через фьючерсы, то на одни и те же деньги получается реализовать сразу две стратегии и зарабатывать на обеих одновременно.
Первая - арбитражная между акциями и фьючерсам, вторая - фьючи на доллар
Суета — слово, в котором нужно заменить первую букву и не суетиться 😁
Рассказал свой способ борьбы со стрессом, который наш мозг разгоняет сам.
В комментариях жду ваши лайфхаки 👇🏻
4% за 10 дней. Много это или мало?
На первый взгляд цифра вообще не выглядит какой-то сумасшедшей 😁
Но если пересчитать результат этой сделки на год, получается 146% годовых.
Это сделка по Белуге, которую мы открыли 21 июля и закрыли 31 июля. За 10 дней получили 4% доходности.
И вот здесь хорошо видно, почему я всегда смотрю не только на процент прибыли, но и на то, за какое время он получен.
Можно заработать 15…
Я сначала сам разберусь в инвестициях
Тоже вполне рабочий вариант, если у вас есть несколько свободных лет 😅
Я на бирже уже 7 лет и могу сказать, что первые годы ты в основном набиваешь шишки. Читаешь, пробуешь разные инструменты, совершаешь ошибки, где-то теряешь деньги и постепенно начинаешь понимать, как все это работает.
Я через это тоже прошел. Форекс, опционы, NFT, потерянные $5000 и куча времени на то, чем …
Банк обещает вам 14%. А сколько вы заработаете на самом деле?
Сейчас открыть приложение банка и увидеть вклад под 14% вполне приятно. Положил миллион, через год получил сверху 140 тысяч. Вроде заработал 😁
Только смотреть я бы здесь стал не на цифру в приложении, а на то, насколько за этот год реально выросла ваша покупательная способность.
Если инфляция условно 8–9%, большая часть этих 14% уже уходит просто на то,…
Ну что, Wildberries больше не один 😅
Еще недавно все обсуждали, почему прилетает по складам Wildberries, а Ozon эта история обходит стороной. Теперь досталось и Ozon.
И это, кстати, довольно показательно. Можно сколько угодно строить версии, искать закономерности и пытаться понять, кто будет следующим. Обсасывать эти темы будут еще долго.
А я в этой истории думаю немного о другом. Представляю состояние людей, у ко…
306% годовых на падающем рынке 😁
Именно такую доходность в пересчете на год показала одна из наших арбитражных сделок, которую мы закрыли на прошлой неделе.
Сделку давал резидентам инвест-клуба, поэтому на ней вместе со мной заработали еще около 200 человек.
За это я люблю арбитраж. Рынок может расти, падать или стоять на месте, а результат сделки от направления рынка напрямую не зависит.
Конечно, 306% годовых зд…
❗️Склады Ozon были атакованы ВСУ в ночь на 24 августа в Краснодарском и Ставропольском краях, в Адыгее и Дагестане.
Долгое время ВСУ атаковали только склады WB, но Озон не трогали, так как там много акционеров из США. Эскалация вышла на новый уровень.
Командование ВСУ открыто заявляет, что ставит целью, помимо нанесения прямого экономического урона всей нашей стране, так как ВБ и ОЗОН имеют триллионы рублей продаж,…
👍5🤔4✍3💯2🔥2❤1
Showing the 12 most recent of 44 posts we hold for @moex_arbitrag. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 8 October 2026 — this
entry's latest reading, not the date you are reading this.
“Петр Гулин | Арбитраж на Мосбирже” (@moex_arbitrag), 13,991 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/moex_arbitrag.
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.