Channel
@FKZ77777
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
114subscribers
+0 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001972989757 |
|---|---|
| Type | Channel |
| Username | @FKZ77777 |
| Created | Between 1 April 2023 and 26 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/FKZ77777 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 02:02 | 114 | no change |
| 9 Aug 2026, 18:48 | 114 | first reading |
20 posts held, back to 26 September 2023 — the 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 6 May 2026. An engagement rate over an empty window would be a number about nothing.
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.
8 reactions across 3 posts, in 3 distinct kinds. The most used accounts for 62.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 5 | 62.5% | |
| 🎄 | 2 | 25.0% | |
| 🙏 | 1 | 12.5% |
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 4 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 8reactions 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 26 September 2023 to 6 May 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.
Коллеги, Знакомый продюссер образовательных программ ищет банковского рисковика, который для сотрудников ну очень уважаемого банка сможет прочитать лекции (15-20 академ часов) по риск менеджменту в банковской сфере (тз есть). Если кому интересно, пишите в личку, сведу за шоколадку. @Natalia_Azarova шоколадкой поделюсь!!!
Signed Natalia Azarova
Банковское Казначейство pinned a photo
Коллеги, добрый день! Направляем информацию по перенесенному вебинару! Кто регистрировался ранее - регистрации действительны! Новая дата 25 марта 2026 12:00 мск https://my.mts-link.ru/j/MSBEvents/13283648139
Signed Natalia Azarova
📌 Бесплатный вебинар для банковских казначеев и риск-менеджеров Встроенные опционы и модельный риск 📅 12 февраля | 12:00 (МСК) ⏱️ Длительность: 1 час 30 минут 🎙 Спикер: Андрей Камышев Начальник управления процессных и финансовых моделей, ВТБ О чём будем говорить: — как выявлять и оценивать встроенные опционы в продуктах розничного бизнеса — методы оценки встроенных опционов и их влияние на риск-профиль — как сниж…
Signed Natalia Azarova
Банковское Казначейство pinned «Хотим порекомендовать канал нашего коллеги на тему управления банковскими расходами. Мы много лет сотрудничаем с автором, провели несколько совместных мероприятий, которые неизменно получали высокую оценку участников. Подключайтесь, чтобы регулярно получать…»
Хотим порекомендовать канал нашего коллеги на тему управления банковскими расходами. Мы много лет сотрудничаем с автором, провели несколько совместных мероприятий, которые неизменно получали высокую оценку участников. Подключайтесь, чтобы регулярно получать обобщение проектной практики по планированию и контролю бюджета, аллокации расходов и структурированию ЦФО банка. Telegram Земитан о расходах бизнеса Говорим об …
👍1🙏1
Signed Natalia Azarova
📌 Бесплатный вебинар для банковских казначеев и риск-менеджеров Встроенные опционы и модельный риск 📅 12 февраля | 12:00 (МСК) ⏱️ Длительность: 1 час 30 минут 🎙 Спикер: Андрей Камышев Начальник управления процессных и финансовых моделей, ВТБ О чём будем говорить: — как выявлять и оценивать встроенные опционы в продуктах розничного бизнеса — методы оценки встроенных опционов и их влияние на риск-профиль — как сниж…
👍4
Signed Natalia Azarova
Дорогие друзья и коллеги! 2025 год для MSB Events получился по-настоящему живым. Про цифры мы любим, умеем и считаем регулярно, поэтому честно подводим итоги. За этот год мы вместе: • собрали 1 853 участника на наших площадках • провели 10 конференций и профессиональных встреч • услышали 156 спикеров, которые делились реальными кейсами, а не презентациями «ради галочки» Но если отложить отчёты в сторону, этот г…
🎄2
Signed Natalia Azarova
Channel name was changed to «Банковское Казначейство»
Там можно задавать вопросы спикерам
Signed Katerina Soboleva
Коллеги, перейдите, пожалуйста, по ссылке https://t.me/+0EyBzh4_TepjYjk0
Signed Katerina Soboleva
Е.Павлов, Газпромбанк
Showing the 12 most recent of 20 posts we hold for @FKZ77777. 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 — 724,582 of 1,480,688entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“Банковское Казначейство” (@FKZ77777), 114 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/FKZ77777.
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.