Channel
@BloombergTerminals
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
5,340subscribers
+153 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001872252940 |
|---|---|
| Type | Channel |
| Username | @BloombergTerminals |
| Created | 18 January 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/BloombergTerminals |
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 13 September 2026 and assigned it the closest of 31 fixed categories, at 74% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 17:36 | 5,340 | +16 |
| 12 Sept 2026, 15:58 | 5,324 | +3 |
| 8 Sept 2026, 23:41 | 5,321 | +12 |
| 3 Sept 2026, 06:24 | 5,309 | +5 |
| 31 Aug 2026, 05:13 | 5,304 | -7 |
| 27 Aug 2026, 20:56 | 5,311 | +39 |
| 24 Aug 2026, 10:47 | 5,272 | +48 |
| 20 Aug 2026, 16:43 | 5,224 | +3 |
| 18 Aug 2026, 01:15 | 5,221 | +8 |
| 15 Aug 2026, 07:57 | 5,213 | +17 |
| 11 Aug 2026, 22:58 | 5,196 | -5 |
| 9 Aug 2026, 05:01 | 5,201 | +14 |
| 6 Aug 2026, 03:46 | 5,187 | no change |
| 6 Aug 2026, 01:36 | 5,187 | first reading |
31 posts held, back to 30 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 8 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 31 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.
208 reactions across 22 posts, in 13 distinct kinds. The most used accounts for 47.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤣 | 99 | 47.6% | |
| 👍 | 35 | 16.8% | |
| ❤ | 26 | 12.5% | |
| 😁 | 23 | 11.1% | |
| 🤔 | 6 | 2.88% | |
| 💯 | 4 | 1.92% | |
| 🐳 | 3 | 1.44% | |
| 😱 | 3 | 1.44% | |
| 🔥 | 2 | 0.962% | |
| 🙊 | 2 | 0.962% | |
| 🤯 | 2 | 0.962% | |
| 🦄 | 2 | 0.962% | |
| 🫡 | 1 | 0.481% |
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 28 of the 31 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 264 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 30 July 2026 to 11 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.
❗️🇺🇸Майкл Бьюрри предупреждает, что Palantir может рухнуть на 99% — до $1. ............................................................. 🤍Инвестор, известный благодаря фильму «Игра на понижение», снова купил пут-опционы на Palantir — они принесут прибыль, если акции компании сильно упадут. Срок действия этих опционов истекает в марте 2027 года, а цена исполнения составляет примерно $100–150. 🤍Бьюрри считает, что в д…
🤣11👍3❤2
💵INTEL ПРИВЛЕКЛА $20 МЛРД ЧЕРЕЗ РАЗМЕЩЕНИЕ АКЦИЙ — НА ТРЕТЬ БОЛЬШЕ ПЕРВОНАЧАЛЬНО ЗАЯВЛЕННОГО ОБЪЁМА. ⨯ [Bloomberg] ............................................................. ➢ Акции продали по $95, что примерно на 6,5% ниже пятничного закрытия. Спрос инвесторов превысил $100 млрд. Сделка подчёркивает высокий интерес рынка к компаниям, связанным с бумом ИИ. 🤍Intel наращивает денежные резервы, чтобы усилить позиции…
😁4❤2👍2
💰🇺🇸NVIDIA ПРИВЛЕКАЕТ УОЛЛ-СТРИТ ДЛЯ ФИНАНСИРОВАНИЯ НА $500 МЛРД. ⨯ [Bloomberg] ............................................................. 🤍Nvidia объединилась с Apollo, Blackstone, BlackRock, Brookfield, Goldman Sachs и KKR, чтобы привлечь до $500 млрд частного капитала для развития инфраструктуры искусственного интеллекта. 🤍Основной акцент — на долговом финансировании вычислительных мощностей для крупнейших клие…
😁3👍2❤1
❗️📊🇷🇺БАНК РОССИИ УСТАНОВИЛ ЛИМИТ НА ПОКУПКУ КРИПТОВАЛЮТ ДЛЯ НЕКВАЛИФИЦИРОВАННЫХ ИНВЕСТОРОВ. ............................................................. У каждого посредника – брокера, криптообменника или управляющего – они смогут приобретать такие активы на сумму 300 тыс. рублей в год. ЦБ включил в перечень криптовалют, доступных к публичному обращению на биржах, Bitcoin, Ethereum и Tether USDT. Квалифицированные…
🤣2🤯1😁1
☄️📊Акции технологических компаний, судя по прогнозам, обеспечат годовой приток капитала в размере $216 млрд — полностью превзойдя показатели любого другого года в истории. ............................................................. Bloomberg Terminal✅
🧱↗️🇨🇳Центральный банк Китая в июле увеличил свои золотые резервы на 20 тонн, что стало крупнейшей месячной покупкой с октября 2023 года, доведя их до рекордных 2366 тонн ............................................................. Bloomberg Terminal✅
📊Фондовый рынок достиг второй по величине оценки в истории, значительно превзойдя крах 1929 года и лишь немного уступив пузырю доткомов. ............................................................. Bloomberg Terminal✅
🔼💸ПРИТОК СРЕДСТВ В БИТКОИН-ФОНДЫ ДОСТИГ МАКСИМУМА ЗА ЧЕТЫРЕ МЕСЯЦА. ⨯ [Bloomberg] ............................................................. Американские спотовые биткоин-ETF за прошлую неделю привлекли более $850 млн — это крупнейший недельный приток с апреля. 🤍Рост спроса совпал со взломом кошельков Coldcard, в результате которого было украдено около $130 млн в биткоинах. Инцидент вновь поднял вопрос безопаснос…
🤣5😱3
☄️🇺🇸ИИ НАЧИНАЕТ ПРИНОСИТЬ АМЕРИКАНСКИМ КОРПОРАЦИЯМ РЕАЛЬНЫЕ ДЕНЬГИ. ⨯ [Bloomberg] ............................................................. По данным 22V Research, около 25 компаний из S&P 500 уже оценили влияние ИИ на бизнес. В среднем технология может увеличить маржу на 180 б.п., а без учета других факторов роста производительности — на 150 б.п. По данным Bloomberg Intelligence, 43 CEO из S&P 500 прямо заявили…
🤣12👍2❤1🦄1
‼️💸ИССЛЕДОВАТЕЛИ ВСЕГО ЗА 27,5 ЧАСОВ ВЫЯВИЛИ ПОЧТИ 5000 ПОТЕНЦИАЛЬНЫХ УЯЗВИМОСТЕЙ В ЭКОСИСТЕМЕ БИТКОИНА. ⨯ [Источник] ............................................................. Команда Bitcoin Red Team с помощью AI-технологий и ручной проверки проанализировала 390 проектов и обнаружила 4962 проблемы. 85 критических и 635 проблем высокой степени серьезности. ❗️Позже спустя 55 часов команда просканировала 425 про…
🤣9👍2❤1🦄1
‼️КРУПНЕЙШИЕ ХЕДЖ-ФОНДЫ СТАЛИ МИШЕНЬЮ ВОЛНЫ КИБЕРАТАК. ⨯ [Bloomberg] ............................................................. ➢ Компании Уолл-стрит столкнулись с волной сложных кибератак, направленных на крупнейшие хедж-фонды и управляющие активами. Среди целей оказались Point72, Millennium Management, Two Sigma и Citadel. Основной метод злоумышленников — вишинг: мошенники используют ИИ для имитации голосов сот…
❤2👍2🤣2🔥1
‼️📊🇺🇸НАЧИНАЯ С СЕГОДНЯШНЕГО ДНЯ СОТРУДНИКИ И ЧАСТЬ РАННИХ ИНВЕСТОРОВ SPACEX ВПЕРВЫЕ ПОЛУЧАЮТ ВОЗМОЖНОСТЬ ПРОДАВАТЬ СВОИ АКЦИИ НА ОТКРЫТОМ РЫНКЕ. ............................................................. ➢ До 912 млн акций станут доступны для торговли, что более чем вдвое увеличит объем акций в свободном обращении. 🤍Поскольку многие сотрудники и первые инвесторы приобрели бумаги задолго до IPO по цене значительно …
🤣7❤2
Showing the 12 most recent of 31 posts we hold for @BloombergTerminals. 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.
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.
Named by 29 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
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.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“Bloomberg Terminal” (@BloombergTerminals), 5,340 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/BloombergTerminals.
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.