Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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 the other topics.
Growth
55 measurements spanning 90 days, net -223. 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 15,784–16,089 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 55
Measured (UTC)
Subscribers
Change
4 Nov 2026, 02:18
15,831
+1
2 Nov 2026, 23:54
15,830
+6
1 Nov 2026, 21:48
15,824
+1
30 Oct 2026, 17:56
15,823
+2
29 Oct 2026, 18:19
15,821
+2
28 Oct 2026, 16:07
15,819
-5
27 Oct 2026, 18:56
15,824
-4
26 Oct 2026, 21:44
15,828
-10
24 Oct 2026, 21:35
15,838
+3
23 Oct 2026, 19:18
15,835
-9
22 Oct 2026, 18:29
15,844
-3
21 Oct 2026, 17:08
15,847
-11
20 Oct 2026, 13:40
15,858
-7
19 Oct 2026, 13:56
15,865
-1
18 Oct 2026, 15:46
15,866
-1
17 Oct 2026, 16:56
15,867
+3
16 Oct 2026, 15:54
15,864
+1
15 Oct 2026, 16:04
15,863
+2
14 Oct 2026, 13:30
15,861
+4
13 Oct 2026, 04:27
15,857
first reading
Engagement
102 posts held, back to 29 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 56 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
17.5%
avg views ÷ 15,831 subscribers
Avg views / post
2,770
23 posts measured
Reaction rate
1.06%
reactions ÷ views · ER floor
Posts in window
23
of 102 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 3 November 2026
Posts held
102 (29 July 2026 – 3 November 2026)
Views total
63,670
Reactions total
675
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Nov 2026, 16:16 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
4,510 reactions across 98 posts, in 31 distinct kinds. The most used accounts for 51.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
2,306
51.1%
😁
682
15.1%
❤
557
12.4%
🔥
273
6.05%
😭
121
2.68%
👎
114
2.53%
🤣
100
2.22%
😢
94
2.08%
💯
61
1.35%
🥴
35
0.776%
🤝
30
0.665%
👏
21
0.466%
👌
16
0.355%
❤🔥
12
0.266%
🗿
12
0.266%
🤔
11
0.244%
💊
10
0.222%
😐
10
0.222%
🤬
8
0.177%
🐳
6
0.133%
11 further kinds
31
0.687%
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 100 of the 102 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 4,599 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 102 most recent posts we hold, published 29 July 2026 to 3 November 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
1
of 101 we hold a reading for · 1.0%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Polyakov_Ant. 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 102 most recent posts we hold for this entry, published 29 July 2026 to 3 November 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.
Видео уже на канале.
Тема: "Почему в России вечная инфляция — честный разбор"
https://youtu.be/UXjMjPhIaz0
Важные ссылки:
boosty Доступ к ИИС + ранний доступ ко всем видео: clck.ru/3PQqwc
Информация о моем фонде ИПИФ "Поляков инвестиции": https://clck.ru/3Tgaxf
00:00 О чём сегодня поговорим?
05:41 Какие налоги платит предприятие
08:52 Почему одинаковые проценты требуют разных денег
10:36 Почему фабрика откла…
Почему одним компаниям доверяют больше, другим меньше, а кому-то безусловно?
На российском фондовом рынке достаточно компаний с масштабным бизнесом и государственной поддержкой. Но немногим удаётся одновременно наращивать прибыль, сохранять устойчивость и платить дивиденды. Сбер выделяется именно этим сочетанием. Секрет успеха не просто в статусе крупнейшего банка страны, а в способности превращать масштаб в эффекти…
Почему я не спешу обратно в акции? Мой план заработка на следующий рыночный цикл
Российские акции опять в эйфории. Нефть по 110–120$, разговоры о мирных переговорах, котировки летят вверх. Похожий праздник уже был на рубеже 2025-26 годов и за ним последовало почти полгода падения. Сейчас нефтегаз действительно выигрывает от конфликта вокруг Ирана, а остальные акции растут на надежде на мир.
И да, сейчас покупки зав…
Действительно ли российские акции стоят так же дешево, как об этом говорят?
На российском рынке низкие мультипликаторы стали самостоятельным инвестиционным аргументом. При цене в 4-5 годовых прибылей компанию легко счесть недооцененной. Но цена акции коррелирует с деньгами, которые бизнес сможет передать собственникам в будущем.
Если инвесторы годами отказываются платить за эти деньги больше, нужно выяснить причины…
Видео уже на канале.
Тема: "Почему я не спешу обратно в акции — мой план заработка на следующий рыночный цикл"
https://youtu.be/dEm9d5FZbpw
Важные ссылки:
boosty Доступ к ИИС + ранний доступ ко всем видео: clck.ru/3PQqwc
Информация о моем фонде ИПИФ "Поляков инвестиции": https://clck.ru/3Tgaxf
00:00 О чём сегодня поговорим?
00:43 Что происходит на рынке? Эйфория
03:41 ЦБ и ставка
06:19 Бюджет на 2027-2029 го…
Прилетело откуда не ждали! Как можно оказаться правым и все равно проиграть (на примере PLZL)?
Можно правильно спрогнозировать движение цены, выбрать прибыльный бизнес и все равно проиграть в, как вам казалось, супервыигрышной ситуации. Историю Полюса вполне можно вписать в топ неожиданных кейсов в пособие для инвестора.
Месторождения никуда не делись, золото осталось золотом, цена подросла, а компания тольков день…
Почему российские акции годами торгуются дешево? И дело не только в геополитике
Вы можете правильно выбрать бизнес, угадать рост его прибыли и всё равно остаться разочарованной акционером. Компания продолжит зарабатывать, но до вас эти деньги могут и не дойти.
Читая комментарии, обычно обсуждают две вещи: растет ли акция и сколько она платит дивидендов? Это реально то, что и волнует рынок. Подорожало, значит хороше…
👍37👎2❤1
Showing the 12 most recent of 102 posts we hold for @Polyakov_Ant. 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
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.
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.
БКС Мир инвестиций @bcs_world_of_investments · 36,259 Telegram ranks this channel #18 of 97 here — alongside 96 others — read 1 September 2026
Усиленные Инвестиции @eninv · 24,138 Telegram ranks this channel #33 of 98 here — alongside 97 others — read 18 September 2026
Инвестдруг Ольга Сабитова @olgasabitova · 48,295 Telegram ranks this channel #35 of 97 here — alongside 96 others — read 24 August 2026
Сергей Пирогов @PirogovLive · 27,566 Telegram ranks this channel #37 of 97 here — alongside 96 others — read 10 September 2026
Артем Тузов. Финансы и инвестиции @tuzov_invest · 27,739 Telegram ranks this channel #44 of 96 here — alongside 95 others — read 10 September 2026
Вредный Инвестор @harmfulinvestor · 30,906 Telegram ranks this channel #54 of 94 here — alongside 93 others — read 6 September 2026
Инвестиции - просто! @bessonov_invest · 20,596 Telegram ranks this channel #56 of 89 here — alongside 88 others — read 30 September 2026
Российские акции @russia_companies · 25,332 Telegram ranks this channel #65 of 94 here — alongside 93 others — read 14 September 2026
Invest Heroes @InvestHeroes · 39,780 Telegram ranks this channel #65 of 98 here — alongside 97 others — read 30 August 2026
Zakharov Invest @zakharov_risk · 25,654 Telegram ranks this channel #74 of 97 here — alongside 96 others — read 14 September 2026
Алексей Линецкий @alexeylinetsky · 30,421 Telegram ranks this channel #77 of 89 here — alongside 88 others — read 7 September 2026
Mozgovik Research | Анализ акций @mozgovikresearch · 23,484 Telegram ranks this channel #78 of 99 here — alongside 98 others — read 18 September 2026
БКС Экспресс @bcs_express · 56,153 Telegram ranks this channel #79 of 96 here — alongside 95 others — read 23 August 2026
TAUREN ИНВЕСТИЦИИ | Егор Федосов @taurenin · 50,993 Telegram ranks this channel #81 of 97 here — alongside 96 others — read 25 August 2026
P.S investing @malishok_fonda · 25,716 Telegram ranks this channel #85 of 93 here — alongside 92 others — read 12 September 2026
Путь инвестора (Давыдов Артем) @put_investor · 32,532 Telegram ranks this channel #91 of 96 here — alongside 95 others — read 4 September 2026
Тимофей Мартынов @martynovtim · 36,621 Telegram ranks this channel #91 of 96 here — alongside 95 others — read 2 September 2026
Дивпрогнозы | Инвестминт @divalerts · 19,732 Telegram ranks this channel #93 of 97 here — alongside 96 others — read 29 September 2026
Олег Кузьмичев @kuzmlab · 23,393 Telegram ranks this channel #93 of 94 here — alongside 93 others — read 18 September 2026
This channel appears in 19 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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“Антон Поляков (Poly_invest)” (@Polyakov_Ant), 15,831 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/Polyakov_Ant.
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.