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 3 October 2026 and assigned it the closest of 31 fixed categories, at 97% 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
12 measurements spanning 50 days, net -11,493. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Oct 2026, 10:36
4
+2
14 Sept 2026, 20:41
2
-3
6 Sept 2026, 15:16
5
-11,443
4 Sept 2026, 02:19
11,448
+11,444
28 Aug 2026, 09:38
4
-11,485
27 Aug 2026, 10:33
11,489
-4
26 Aug 2026, 13:56
11,493
+7
25 Aug 2026, 16:23
11,486
-9
24 Aug 2026, 13:55
11,495
+2
22 Aug 2026, 19:34
11,493
-3
21 Aug 2026, 12:54
11,496
-1
21 Aug 2026, 06:45
11,497
first reading
Engagement
14 posts held, back to 7 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 12 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 14 posts for this entry, the most recent from 20 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
2,246 reactions across 13 posts, in 13 distinct kinds. The most used accounts for 61.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,388
61.8%
🔥
412
18.3%
❤
291
13.0%
👏
49
2.18%
💯
44
1.96%
✍
17
0.757%
😎
17
0.757%
🍾
8
0.356%
❤🔥
7
0.312%
🤩
6
0.267%
custom 5465465194056525619
4
0.178%
👌
2
0.089%
💋
1
0.045%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 13 of the 14 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 2,246 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 7 July 2026 to 20 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.
Telegram Stars
Stars received
5
across the posts below
Posts paid on
3
of 13 we hold a reading for · 23%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @FxStudentGroup. 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 14 most recent posts we hold for this entry, published 7 July 2026 to 20 August 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.
В данный момент цена пришла в зону интереса, которую я отмечал еще неделю назад.
Сейчас слежу за 1d FVG, так как в этой зоне может произойти переход в модель Buy Side Delivery.
Также ключевой областью для меня является 7700. Именно здесь буду искать факторы для потенциального разворота.
При этом держу в голове и сценарий дальнейшего снижения. В таком случае сегодня, во время регулярной торговой сессии, мы должны п…
Индекс доллара DXY: контекст на текущую неделю и более долгосрочный контекст
Перейдем на два месяца назад и вспомним, что я рассматривал лонги на снятие ликвидности первого квартала 2026 года.
После снятия ликвидности началась коррекция. На данный момент я рассматриваю эту коррекцию как модель продаж.
С более долгосрочной точки зрения я ожидаю достижения ближайшей ликвидности SellSide, а также SellSide Q2 2026 го…
NQ и ES - контекст на ближайший месяц
Начну с прошлых целей.
На NASDAQ целью была область 28 000. Как вы видите, мы идеально снизились в данную область. От момента моего поста, где я говорил, что мы будем падать до этой цели, NASDAQ снизился примерно на 12%, что для NASDAQ является достаточно большим движением.
После достижения цели, актив пошел вверх. Абсолютно логичное движение и доставка цены к ликвидности.
Да…
Всем привет!
Вижу, что многие уже заскучали. Поступает много вопросов: где я и куда пропал. Сорри кому не отвечаю в лс по поводу наставничества и ТД(пишите ближе к концу месяца)
Для тех, кто не в курсе и не читал прошлые посты, что вы, кстати, зря делаете: я сейчас нахожусь в отпуске. И отпуск у меня продолжается до сентября.
Сейчас появилась возможность первый раз взглянуть на график, поэтому, чтобы канал совсем …
Чуть подробнее разберём мою позицию.
Обратите внимание на минимум вторника.
Цена — 27 603.25. Время формирования — 10:15 (time - 4)
Теперь ответьте себе на вопрос: что это?
Это искусственно созданная ликвидность - 27 600 цель
А теперь посмотрите на минимум Лондонской сессии среды и на то, как рынок постепенно наращивал ликвидность.
Сначала мы увидели агрессивное движение, которое создавало впечатление начала импул…
Мне кажется, одна из главных проблем трейдинг-индустрии сейчас переизбыток информации.
Люди часто смешивают понятия «концепция» и «стратегия», а некоторые даже не видят между ними разницы. Но концепция -это способ понимать рынок: его структуру, логику движения цены, ликвидность и контекст. Стратегия же - это конкретный набор правил для входа, сопровождения и выхода из позиции.
Когда эти вещи путают, и начинаются бе…
Только что в рекомендациях попалось видео, где ICT разбирает свою позицию. И, о, удивление(нет), я вчера открыл такую же позицию.
Это снова же доказывает, насколько большой вклад ICT внес в трейдинг-индустрию. Уверен, эту позицию видел и открывал не только я, а и сотни, а может и тысячи других трейдеров по всему миру.
Потому что время и цена.
Как одна концепция способна объединить столько людей, которые одинаково…
👍108🔥38❤11👏11😎4
Showing the 12 most recent of 14 posts we hold for @FxStudentGroup. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
SANCHO D.T. @SANCHO_DT · 65,952 Telegram ranks this channel #23 of 80 here — alongside 79 others — read 21 August 2026
This channel appears in 2 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 10 October 2026 — this
entry's latest reading, not the date you are reading this.
“FxStudent” (@FxStudentGroup), 4 subscribers as measured 10 October 2026. Telegram Register, tgregister.com/channel/FxStudentGroup.
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.