5 measurements spanning 11 days, net -24. 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 4,497–4,529 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Aug 2026, 15:23
4,501
-4
15 Aug 2026, 10:25
4,505
-14
11 Aug 2026, 15:32
4,519
-5
8 Aug 2026, 05:31
4,524
-1
7 Aug 2026, 12:48
4,525
first reading
Engagement
20 posts held, back to 13 May 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 6 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
16.3%
avg views ÷ 4,501 subscribers
Avg views / post
733
5 posts measured
Reaction rate
0.382%
reactions ÷ views · ER floor
Posts in window
5
of 20 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 August 2026
Posts held
20 (13 May 2026 – 2 August 2026)
Views total
3,667
Reactions total
14
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 07:37 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
65 reactions across 18 posts, in 5 distinct kinds. The most used accounts for 67.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
44
67.7%
🤣
10
15.4%
❤
9
13.8%
🔥
1
1.54%
😢
1
1.54%
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 19 of the 20 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 65reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 13 May 2026 to 2 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.
В целом рынок сложный, и пока моих навыков и опыта не хватает, что бы вытянуть на таком рынке профит. В любом случаи, я считаю, что на любом рынке можно зарабатывать, и сложный рынок это не оправдание минуса. Хотя это конечно сильно влияет на результат.
Пока в этом году закрываю только второй Месяц подряд в минус, ну и в общем второй убыточный месяц в 26 году.
Знаете как я считаю. Если закрыл 1-2 месяца подряд в ми…
Итоги по трейдингу за Июль месяц
Сделок: 9
Положительных 0
Результат -1.85%
Канал на Ютуб 🟣Бесплатный Торговый Клуб🟣Tiger Trade (кешбек 25-35%) 🟣OKX 🟣ByBit 🟣 BingX
📊 Разбор рынка: биткоин готовится к сбору ликвидности, но торопиться с входами не стоит
Сегодня рынок остается сложным и малоподвижным. Несмотря на локальные движения, глобальная картина практически не изменилась.
BTC
Основной сценарий остается прежним — ожидаю сбор ликвидности выше уровня $67 000, после чего более вероятным выглядит разворот и продолжение снижения. Почти месяц биткоин находится в накоплении, а мног…
Кратко с вчерашнего эфира
📊 Обзор рынка: BTC, ETH и шортовые идеи
Биткоин с октября остаётся в шортовом тренде.
Для смены глобального тренда нам нужен пробой и закрепление выше 83k — пока мы ниже, это всё ещё медвежий рынок.
Сейчас цена торгуется между:
сопротивлением около 64 700 (выше — зона шортовой ликвидности);
поддержкой около 58 400.
Локально я жду сбор шортовой ликвидности:
вынос стопов за 64–67k;
и только п…
Что касается результатов за последнее время.
Было 8 месяцев подряд в профит, что является для меня рекордом. С общим доходом 35% к депо. Что так же является хорошим результатов за 9 месяцев
Пока из 9 один в Минус. Так что если оценивать мою торговлю за последнее время. Прогресс в результате существенный.
Потому сейчас в трейдинге следующие задачи
1.Закреплять результат, и продолжать так же
2.Улучшать результат, …
Мои итоги по трейдингу за Июнь месяц
Сделок: 14
В плюс: 35%
Результат: -0.7% от депо
Было много мусорных сделок. Вывод: Сейчас такой рынок, что нужно торговать только сильные ситуации.
Канал на Ютуб 🟣Бесплатный Торговый Клуб🟣Tiger Trade (кешбек 25-35%) 🟣OKX 🟣ByBit 🟣 BingX
Мои итоги по трейдингу за прошедшую неделю с 8 по 14 число
Среднесрок:
2 сделки, одна б.у втора минус
Результат: -0.25%
Пробой уровня:
2 сделки обе в убыток
Результат -1.11%
Ложный пробой:
Одна сделка в убыток по битку. Пытался брать разворот
Результат: -0.7%
Общий итог: -2.06% от депо
Вывод: Ошибся с направлением рынка. Ну и нужно было торговать более сильные точки входа. Сейчас такой рынок. 95% шума, только …
Мои итоги по трейдингу за прошедшую неделю с 1 по 7 число
Сделок: 8
В плюс: 25%
Результат: без убыток
Мой копитрейдинг: https://bybit.onelink.me/EhY6/5raravng
Канал на Ютуб 🟣Бесплатный Торговый Клуб🟣Tiger Trade (кешбек 25-35%) 🟣OKX 🟣ByBit 🟣 BingX
Если у кого-то есть сомнения по поводу достоверности моих результатов, или у вас есть желания их отзеркалить у себя. То напоминаю, что у меня есть копитрейдинг на бирже байбит. Однако учитывайте, что биржа считает статистику по нереализованному пнл, а не по закрытым сделкам.
Так как у меня весит сделка на -5% от депо, статистика за 30 дней, значительно отличается. То есть: прибыль которую я реализовал за 30 дней, б…
👍2
Signed VLaD
Showing the 12 most recent of 20 posts we hold for @investcointrade. 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.
Citation-graph rank
Citation-graph rank — 1,288,662 of 1,549,704entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 3 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.
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 18 August 2026 — this
entry's latest reading, not the date you are reading this.
“INVESTCOIN TRADE” (@investcointrade), 4,501 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/investcointrade.
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.