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Channel

Логика Памп/Дамп - Иван Марченко

@logikapumpdump

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry

2,525subscribers

-15 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001390977353
TypeChannel
Username@logikapumpdump
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live27 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 27 August 2026
On Telegramt.me/logikapumpdump

Growth

2,5252,5402,532.57 August 2026 — 2,540 subscribers7 August 2026 — 2,540 subscribers8 August 2026 — 2,539 subscribers11 August 2026 — 2,538 subscribers14 August 2026 — 2,534 subscribers18 August 2026 — 2,531 subscribers21 August 2026 — 2,528 subscribers24 August 2026 — 2,526 subscribers27 August 2026 — 2,525 subscribers7 August 202627 August 2026
9 measurements spanning 20 days, net -15. 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 2,523–2,542 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Aug 2026, 19:082,525-1
24 Aug 2026, 19:432,526-2
21 Aug 2026, 06:222,528-3
18 Aug 2026, 04:032,531-3
14 Aug 2026, 21:172,534-4
11 Aug 2026, 22:522,538-1
8 Aug 2026, 12:332,539-1
7 Aug 2026, 20:162,540no change
7 Aug 2026, 19:262,540first reading

Engagement

11 posts held, back to 22 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
13.4%
avg views ÷ 2,525 subscribers
Avg views / post
338
3 posts measured
Reaction rate
6.11%
reactions ÷ views · ER floor
Posts in window
3
of 11 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
WindowRolling 30 days · latest post in window 7 August 2026
Posts held11 (22 July 20267 August 2026)
Views total1,015
Reactions total62
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 20:16 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.

What this channel posts

Video runtime
3m 22s
Average length
3m 22s

Measured directly from 1 video 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

260 reactions across 11 posts, in 6 distinct kinds. The most used accounts for 73.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥19273.8%
👍5320.4%
🐳51.92%
💯51.92%
41.54%
😱10.385%

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 11 of the 11 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 260reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 22 July 2026 to 7 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.

Recent posts

7 Aug 2026, 14:12 UTC141 views17 reactionsread 7 August 2026

Бот готов😄🔥 Всё, можно наконец нормально показать новую версию Антишум PRO Всем привет 👋 На несколько дней выпал из канала, потому что последние доработки уже хотелось просто закончить и выдать рабочую версию. Тем, кто уже пользуется Антишум PRO, обновление уже выдал. Ребята начинают разбираться, тестировать новые режимы и привыкать к новым блокам. А я тем временем записал большой разбор новой версии примерно на

🔥11👍6

3 Aug 2026, 08:15 UTC334 views19 reactionsread 7 August 2026
Video

Ни один КАЧЕСТВЕННЫЙ сигнал не пройдет мимо нас 😂 Всем доброе утро! Не упускайте такие сетапы))

🔥13👍51

29 Jul 2026, 20:19 UTC540 views26 reactionsread 7 August 2026
Photo

Оставлю это тут, чтобы не забывали про второй подход 😄

🔥18👍8

28 Jul 2026, 18:00 UTC503 views35 reactionsread 7 August 2026
Photo

⚠️Второй подход + крупные шортовые ликвидации Всем привет! Послушайте голосовое, рассказал про то, какой второй подход к хаю предыдущего пампа отрабатывает лучше и как усиливают это шортовые ликвидации 🔥 - если полезно Записываю сейчас разборы по всем самым основным фильтрам, на этой неделе думаю уже начну выдавать доступы!

🔥30👍3🐳2

25 Jul 2026, 14:59 UTC555 views28 reactionsread 7 August 2026
Photo

⭐️Новый блок Реакция после пампа Пришел сигнал уже на развороте. Открытый интерес падает, плюс забрал еще несколько ретестов на 1м тф. Красота 😄🔥

🔥22👍4🐳2

25 Jul 2026, 10:07 UTC406 views26 reactionsread 7 August 2026
Photo

Утро всегда доброе когда вторые подходы так отрабатывают по сигналам 😄 Сейчас записываю видео с разборами и примерами каждого фильтра. Это просто кайф! 💪 Это тот, продукт который я давно мечтал сделать 🔥🔥🔥

🔥22👍31

24 Jul 2026, 12:41 UTC412 views36 reactionsread 7 August 2026

🎥 Видео разбор Второй подход и ретесты на одном графике Вчера показывал этот сетап в канале, а сегодня записал по нему полноценный видеоразбор. На одном примере разобрал сразу несколько вторых подходов и ретестов, показал, как они формировались на графике и где появлялась реакция цены. Особенно рекомендую посмотреть тем, кто пока путается между обычным возвратом к уровню, вторым подходом и полноценным ретестом 👇

👍16🔥15💯31😱1

23 Jul 2026, 21:38 UTC381 views12 reactionsread 7 August 2026
Photo

Ретест отработал 🔥 в целом отработка на 7% C момента как я прислал в канал 4% можно было забрать)) Посмотрите на график, где сейчас цена ⁉️Какая это формация? Напишите в комменты ответ кто уже начал различать)

🔥9👍3

23 Jul 2026, 19:01 UTC347 views16 reactionsread 7 August 2026
Photo

РЕТЕСТ уровня после слома структуры Всем привет. 👋 У кого эта монета есть на бирже посмотрите отработку ретеста в моменте. ОИ падает. Пробили уровень сломали структуру, подошли к уровню обратно (ретест). Пошла реакция уже. На байбите нет ее)

🔥16

Showing the 11 most recent of 11 posts we hold for @logikapumpdump. 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.

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 27 August 2026 — this entry's latest reading, not the date you are reading this.

“Логика Памп/Дамп - Иван Марченко” (@logikapumpdump), 2,525 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/logikapumpdump.

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.