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 why it has no browse page of its own yet.
Growth
31 measurements spanning 42 days, net -143. 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 15,890–16,075 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
16 Sept 2026, 21:36
15,911
-9
15 Sept 2026, 02:39
15,920
-11
13 Sept 2026, 08:56
15,931
-2
11 Sept 2026, 13:39
15,933
-14
8 Sept 2026, 20:18
15,947
+3
5 Sept 2026, 12:58
15,944
-8
3 Sept 2026, 12:56
15,952
+4
2 Sept 2026, 05:12
15,948
-2
1 Sept 2026, 02:37
15,950
-4
31 Aug 2026, 04:48
15,954
-3
30 Aug 2026, 03:16
15,957
-8
29 Aug 2026, 01:47
15,965
+1
27 Aug 2026, 23:46
15,964
-5
27 Aug 2026, 01:17
15,969
-13
25 Aug 2026, 23:13
15,982
-2
24 Aug 2026, 21:06
15,984
+10
21 Aug 2026, 16:24
15,974
-6
20 Aug 2026, 15:44
15,980
-15
19 Aug 2026, 14:12
15,995
-4
18 Aug 2026, 16:33
15,999
first reading
Engagement
79 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 54 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
21.4%
avg views ÷ 15,911 subscribers
Avg views / post
3,410
35 posts measured
Reaction rate
1.59%
reactions ÷ views · ER floor
Posts in window
36
of 79 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 2 September 2026
Posts held
79 (29 July 2026 – 2 September 2026)
Views total
119,350
Reactions total
1,900
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:12 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
3,835 reactions across 75 posts, in 29 distinct kinds. The most used accounts for 50.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,918
50.0%
😁
583
15.2%
❤
494
12.9%
🔥
220
5.74%
😭
109
2.84%
🤣
100
2.61%
😢
93
2.43%
👎
72
1.88%
💯
60
1.56%
🥴
31
0.808%
🤝
30
0.782%
👏
20
0.522%
👌
16
0.417%
❤🔥
12
0.313%
🗿
12
0.313%
🤔
11
0.287%
💊
10
0.261%
😐
10
0.261%
🤬
7
0.183%
🐳
6
0.156%
9 further kinds
21
0.548%
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 77 of the 79 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 3,924 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 79 most recent posts we hold, published 29 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
2
across the posts below
Posts paid on
1
of 78 we hold a reading for · 1%
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 79 most recent posts we hold for this entry, published 29 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.
Как и прогнозировал, минфин вернулся на рынок ОФЗ. Прогнозировать это было не сложно, т.к. деваться не куда.
Сегодня Минфин разместил новый флоутер ОФЗ-ПК 29031 сразу на 1 трлн руб. при спросе 1,42 трлн руб. Средневзвешенная цена составила всего 92,5122% от номинала.
Для сравнения, близкий по сроку флоутер ОФЗ-ПК 29029 торгуется примерно около 94% от номинала. То есть новый выпуск был размещен примерно на 1,5 п.п. …
Доллар растет, а облигация падает! В чем подвох замещаек и квазивалютных облигаций?
Замещающие облигации это не просто купил бумагу в валюте = значит, защитился от ослабления рубля и еще получил купон сверху. Внутри 1 бумаги заложены валютный номинал, рыночная цена долга и доход и они могут двигаться в разные стороны. Валюта движется, тело переоценивается и итоговая доходность может быть далекой от ожидаемой. Поэтом…
Видео уже на канале.
Тема: "Замещайки, валюта или фьючерс — какой инструмент лучше при падении рубля"
https://youtu.be/ldHMOkc174I
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?
01:11 Откуда появились замещайки и что именно они замещают
05:08 Три этажа замещающей облигац…
Почему длинные ставки остаются такими высокими? Возможность или ловушка?
Сейчас не всегда работает логика, что мол, ЦБ снижает ставку и значит, пора покупать длинные ОФЗ. Да, ставки идут вниз, пусть и медленно, старые облигации с высокими купонами дорожают, инвестор получает и купон, и рост тела. Чем длиннее выпуск, тем сильнее переоценка. Казалось бы, бери ОФЗ на 10-15 лет, садись поудобнее и жди продолжения цикла…
ЦБ опубликовал обновлённые Основные направления денежно-кредитной политики. Нас в первую очередь интересует базовый сценарий.
В текущем базовом сценарии ЦБ не закладывает повышение ставки. Варианта фактически два: либо ставка остаётся на текущих 14%, либо постепенно снижается.
До конца года осталось три заседания:
11 сентября
23 октября
18 декабря
Если посчитать количество дней между заседаниями и сопоставить их …
Экономика снова наращивает корпоративный кредит. Новые возможности или будущая проблема?
Если с розничным кредитованием все более-менее стабильно и однозначно, то с корпоративным ситуация другая. За июль кредиты выросли на 2,5%, а годовой темп поднялся до 13,9%. Если такая динамика сохранится, для фондового рынка это может иметь двойственный эффект.
#ИнвестАнализ
Первая сторона довольно очевидна, ведь компании пол…
Showing the 12 most recent of 79 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 · 36,595 Telegram ranks this channel #18 of 97 here — alongside 96 others — read 1 September 2026
Усиленные Инвестиции @eninv · 23,429 Telegram ranks this channel #33 of 98 here — alongside 97 others — read 18 September 2026
Инвестдруг Ольга Сабитова @olgasabitova · 51,354 Telegram ranks this channel #35 of 97 here — alongside 96 others — read 24 August 2026
Сергей Пирогов @PirogovLive · 27,814 Telegram ranks this channel #37 of 97 here — alongside 96 others — read 10 September 2026
Артем Тузов. Финансы и инвестиции @tuzov_invest · 27,614 Telegram ranks this channel #44 of 96 here — alongside 95 others — read 10 September 2026
Вредный Инвестор @harmfulinvestor · 30,880 Telegram ranks this channel #54 of 94 here — alongside 93 others — read 6 September 2026
Российские акции @russia_companies · 25,414 Telegram ranks this channel #65 of 94 here — alongside 93 others — read 14 September 2026
Invest Heroes @InvestHeroes · 40,099 Telegram ranks this channel #65 of 98 here — alongside 97 others — read 30 August 2026
Zakharov Invest @zakharov_risk · 25,609 Telegram ranks this channel #74 of 97 here — alongside 96 others — read 14 September 2026
Алексей Линецкий @alexeylinetsky · 30,076 Telegram ranks this channel #77 of 89 here — alongside 88 others — read 7 September 2026
Mozgovik Research | Анализ акций @mozgovikresearch · 23,296 Telegram ranks this channel #78 of 99 here — alongside 98 others — read 18 September 2026
БКС Экспресс @bcs_express · 56,675 Telegram ranks this channel #79 of 96 here — alongside 95 others — read 23 August 2026
TAUREN ИНВЕСТИЦИИ | Егор Федосов @taurenin · 51,361 Telegram ranks this channel #81 of 97 here — alongside 96 others — read 25 August 2026
P.S investing @malishok_fonda · 26,290 Telegram ranks this channel #85 of 93 here — alongside 92 others — read 12 September 2026
Путь инвестора (Давыдов Артем) @put_investor · 32,792 Telegram ranks this channel #91 of 96 here — alongside 95 others — read 4 September 2026
Тимофей Мартынов @martynovtim · 35,992 Telegram ranks this channel #91 of 96 here — alongside 95 others — read 2 September 2026
Олег Кузьмичев @kuzmlab · 23,332 Telegram ranks this channel #93 of 94 here — alongside 93 others — read 18 September 2026
This channel appears in 17 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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“Антон Поляков (Poly_invest)” (@Polyakov_Ant), 15,911 subscribers as measured 16 September 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.