Channel
@marketcircles
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
140subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001955449706 |
|---|---|
| Type | Channel |
| Username | @marketcircles |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/marketcircles |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 04:17 | 140 | -1 |
| 31 Aug 2026, 16:33 | 141 | -1 |
| 16 Aug 2026, 18:35 | 142 | +1 |
| 8 Aug 2026, 22:16 | 141 | no change |
| 7 Aug 2026, 11:12 | 141 | first reading |
20 posts held, back to 5 December 2025 — 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 page 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 20 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 3 videos 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.
149 reactions across 18 posts, in 13 distinct kinds. The most used accounts for 20.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤣 | 30 | 20.1% | |
| 😁 | 28 | 18.8% | |
| ❤ | 26 | 17.4% | |
| 🤡 | 21 | 14.1% | |
| 🔥 | 15 | 10.1% | |
| 👍 | 10 | 6.71% | |
| 😍 | 7 | 4.70% | |
| ❤🔥 | 4 | 2.68% | |
| 🤩 | 3 | 2.01% | |
| 🤝 | 2 | 1.34% | |
| 👌 | 1 | 0.671% | |
| 😱 | 1 | 0.671% | |
| 🥱 | 1 | 0.671% |
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 18 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 149 reactions 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 5 December 2025 to 8 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.
Как в двух графиках объяснить, что лучшими инвестициями для ваших детей будут покупка гречки и нарезного карабина с патронами (можно ещё РПГ-трубу с парой-тройкой выстрелов). Показываю. График #1: Доля трудового дохода в общеэкономическом/национальном доходе. График #2: Общемировой индекс цен на продукты питания. Синопсис. 1. Доля дохода, которая генерируется вашим трудом и трудом миллиардов обычных людей в состав…
🔥4❤2😱1
Signed Pasha
Факты.
❤2
Signed Pasha
⚠️🇮🇷#иран #геополитика Посольство Ирана в Гане: «Для США остаeтся только один приемлемый исход: ПОЛНАЯ КАПИТУЛЯЦИЯ!!! Трамп слишком высокомерен, чтобы принять это, и слишком загнан в угол, чтобы избежать этого.
😁2👌1
Signed Pasha
Кожаные мешки даже не подозревают, на пороге какого хаоса сейчас стоит весь мир… 🪖
🤝2
Signed Pasha
😳 Нейронка Claude AI взломала три реальные компании! – отчет Причиной стала ошибка в тестовой среде. Модели считали, что работают внутри симуляции. На деле у них был доступ в настоящий интернет. ➥ Claude Opus 4.7 похитил серверные пароли и добрался до базы с сотнями строк реальных данных. Затем модель заподозрила, что система настоящая…но всё равно продолжила атаку, решив, что это часть задания. ➥ Claude Mythos 5 …
Signed Pasha
Скайнет здесь! 🔥😎 Вундерфаве позволяют теперь создавать аудиоверсии ваших исследований и прочих материалов. Имба жесткая. В особенности для тех, кто пишет такие материалы. Вчера писал макро анализ для The Edge на тему инфляции в США, где делился некоторыми личными рассуждениями. Теперь пробую прикручивать ещё и аудиоверсии своих материалов, которые любезно создаёт ИИ. В общем. Делюсь. Enjoy.
❤🔥4
Signed Pasha
Граждане могучей Поднебесной державы и любители "кошка-жена" 🇨🇳🇨🇳🇨🇳 выпустили буквально только что новую модель Kimi K3 от китайского стартапа Moonshot AI. Она оказалась сопоставима с флагманскими фронтирными моделями OpenAI и Anthropic, хотя и уступает им в некоторых функциях. Но что более важно — это стоимость. Она более чем в три раза ниже, чем у лидеров рынка: $3/$15 за миллион токенов против $10/$50 у западного…
🔥4❤3
Signed Pasha
POV: США уходят с Ближнего Востока с закрытым Ормузским проливом, разорванными цепочками поставок и нефтью по 100+ долларов.
🤣7
Signed Pasha
Задача минимум на март: не помереть со смеху от новоиспеченных экспертов по сырьевым рынками 😱
🤣6❤4😁1
Signed Pasha
Video, posted without a caption
😁7❤1
Signed Pasha
Об актуальном
🤣5❤1
Signed Pasha
Можно еще подписаться на трейдера отсюда https://t.me/KiingOfTradinG Там мужчины тоже дают джазу 🇮🇱
❤4
Signed Pasha
Showing the 12 most recent of 20 posts we hold for @marketcircles. 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“Рыночные циклы для детей(котов)” (@marketcircles), 140 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/marketcircles.
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.