Хорошая же дневка выходит в СИ после моего поста. Чуть пыл быков подсбила
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Channel
@Everyday_Market_Investments
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Polls · Citations · Telegram's recommendations · Cite this entry
6,704subscribers
+62 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001417267166 |
|---|---|
| Type | Channel |
| Username | @Everyday_Market_Investments |
| Created | Between 1 April 2019 and 30 November 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/Everyday_Market_Investments |
Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @Everyday_Market_Investments/10637 · this entry4 Aug 2026, 08:54 UTC | @OnlyProfit_Invest/24044 Aug 2026, 08:54 UTC | 1.00 | under a minute |
| @Everyday_Market_Investments/10638 · this entry4 Aug 2026, 10:28 UTC | @OnlyProfit_Invest/24054 Aug 2026, 10:28 UTC | 1.00 | under a minute |
| @Everyday_Market_Investments/10646 · this entry4 Aug 2026, 16:02 UTC | @OnlyProfit_Invest/24124 Aug 2026, 16:02 UTC | 1.00 | under a minute |
| @Everyday_Market_Investments/10650 · this entry5 Aug 2026, 15:19 UTC | @OnlyProfit_Invest/24155 Aug 2026, 15:19 UTC | 1.00 | under a minute |
| @Everyday_Market_Investments/10651 · this entry5 Aug 2026, 15:41 UTC | @OnlyProfit_Invest/24165 Aug 2026, 15:41 UTC | 1.00 | under a minute |
| @Everyday_Market_Investments/10653 · this entry6 Aug 2026, 10:10 UTC | @OnlyProfit_Invest/24176 Aug 2026, 10:10 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @OnlyProfit_Invest | 17 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (17–0) |
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 23 comparable posts for this entry, running 4 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Across the whole group of 2, the earliest publisher we hold is @Everyday_Market_Investments — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 09:19 | 6,704 | +30 |
| 14 Sept 2026, 17:57 | 6,674 | -4 |
| 11 Sept 2026, 07:17 | 6,678 | +5 |
| 6 Sept 2026, 22:18 | 6,673 | +2 |
| 2 Sept 2026, 01:33 | 6,671 | -2 |
| 29 Aug 2026, 23:13 | 6,673 | +7 |
| 26 Aug 2026, 22:32 | 6,666 | -1 |
| 23 Aug 2026, 12:46 | 6,667 | -4 |
| 19 Aug 2026, 22:35 | 6,671 | +4 |
| 16 Aug 2026, 21:49 | 6,667 | +12 |
| 13 Aug 2026, 04:29 | 6,655 | +14 |
| 9 Aug 2026, 18:21 | 6,641 | -1 |
| 7 Aug 2026, 03:10 | 6,642 | no change |
| 6 Aug 2026, 20:45 | 6,642 | first reading |
62 posts held, back to 4 August 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 10 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 62 posts for this entry, the most recent from 19 August 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.
5,327 reactions across 62 posts, in 7 distinct kinds. The most used accounts for 52.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2,798 | 52.5% | |
| 🔥 | 1,709 | 32.1% | |
| 💯 | 249 | 4.67% | |
| ❤ | 222 | 4.17% | |
| custom 5370738629486319646 | 168 | 3.15% | |
| 👌 | 102 | 1.91% | |
| 🤝 | 79 | 1.48% |
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 62 of the 62 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 5,327 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 62 most recent posts we hold, published 4 August 2026 to 19 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Everyday_Market_Investments. 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 62 most recent posts we hold for this entry, published 4 August 2026 to 19 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.
Хорошая же дневка выходит в СИ после моего поста. Чуть пыл быков подсбила
👍53🔥13❤9💯3🤝1custom 53707386294863196461
Как быстро все на рынке происходит 🔥 Подсвечивал в Закрытом Сообществе 2 диапазона в шорт СИ И через пару минут их исполняют 🔥 Кто проходил диапазоны — очень быстро соображают в такие моменты 👍🏻
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Минфин США удваивает выкуп длинных гособлигаций. Убегают от зоны рецессии. А было так все близко подходя к 4.762%.. Наши так не умеют, увы, а надо-то 2 копейки на это. С 9 сентября Treasury увеличивает объем операций обратного выкупа облигаций со сроком 10–20 и 20–30 лет минимум в 2 раза — с $2 до $4 млрд за одну операцию. Поддержка ликвидности в длинном конце рынка Treasuries, где Минфин видит очень большой объе…
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С 1 сентября в школу и в эру цифрового рубля. Будет нормально нырнуть вниз ниже 84500 и даже вернуть в зону 79-81р Вот там я бы снова вернулся к спекулятивным лонгам валюты. В этом году спеки по валюте шикарны 🔥 Буду благодарен рынку, если еще разок даст закупиться 🤝
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Если взять почти все торгующиеся акции на нашем рынке, в которых есть ликвидность и назвать их ООО РФ Сделать карту Создания и рыночного Признания стоимости: Для 62 наблюдений Средний X ( создание ) равен −2,37 п.п. Средняя Y TSR-премия составляет −3,54 п.п. Медианы еще хуже. Финансовая наука и отрицательные медианы по обеим координатам за период 2023-2024-2025г показывали, что 2026г будет ужасным для акционеров,…
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Сбер немного улучшил прогноз по бюджету РФ — но для рубля важнее другое. Дефицит бюджета на 2026 год теперь ожидается на уровне 7 трлн руб. вместо 7,5 трлн. Позитивно, но не это главное. Куда интереснее ожидание Сбера по новой цене отсечения бюджетного правила — $50 за баррель нефти. Если нефть останется в диапазоне $70–90, большая часть дополнительных нефтяных доходов будет уходить не напрямую в поддержку рубля, а…
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Рекордные шорты в Nasdaq. Будет ли обвал в США перед выборами? 📹 https://www.youtube.com/watch?v=Tp4q4U6Cm5g
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ВСЕ В ШОРТ NASDAQ: «Спасибо за топливо» 😁 Управляющие набрали огромный совокупный шорт по Nasdaq. Посмотрел, чем заканчивались сопоставимые экстремумы позиционирования с 2010 года. 📈 Через 1 месяц Nasdaq был выше в 67% случаев. Медианный результат: +2,1%. 📈 Через 2 месяца — выше уже в 78% случаев. Медианный результат: +2,8%. То есть рынок исторически довольно часто реагировал примерно так: — Все готовы к падени…
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Славная компания Маска Space Первый мой предсказанный шорт отработал -34% от 190 до 124 Будем еще оптимистичнее — следующий шорт, когда созреет и поедет, остановится на 85$ — там и ляжем во флет.
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Доходности США по 10 летним облигациям — 4,7%, еще чуть-чуть и начнем вползать в зону рецессии. Долговые рынки Европы и Японии выглядят не лучше. В чем уникальность ситуации — это дорогущее сырье на фоне агонии надувании пузырей на всех западных рынках. Как ни странно, но если бы запад хотел победить в войне, последнее что ему надо было делать — так это надувать пузыри, тем самым поддерживая залоги и высокие цены …
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Моделирование, когда нужно будет вкладывать деньги в рублевый долг и это будет обоснованно — это расчетная зона 140-170р От подобных амплитуд сейчас будут страдать держатели долга иного фикс дохода в рублях. Я не отношусь к данному графику, как к цели досидеть в валютной позиции замещаек до финала — нет. Момент перекладки будет явно раньше, после того, как индекс акций обновит все лои 2022г Но если мы говорим о ф…
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Никому же был не нужен бакс, когда стоил 71р, почему вдруг сейчас всем нужен, когда он 85р? Работает эффект упущенной выгоды.
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Showing the 12 most recent of 62 posts we hold for @Everyday_Market_Investments. 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
С начала 2026г можете ли вы поддерживать свой уровень жизни?
The shares total 112%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 62 most recent posts we hold, published 4 August 2026 to 19 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Named by 1 registered channel — 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.
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 5 seed channels' Telegram-generated recommendation lists 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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“Артем Бендак | Финансовый стратег, трейдер” (@Everyday_Market_Investments), 6,704 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/Everyday_Market_Investments.
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.