Канал в формате личного блога, пишу только свои мысли, выкладываю крипто проекты, DeFi инструменты, трейдинг, инвестирование.
Ничего и никому не советую и не раздаю инвест-приказов.
Для связи @rollsroyceadv
Created
Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 8 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.
Observations
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.
Content that also appears on other registered channels
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.
Matching posts — open both and compare (5 of the pairs behind the counts below)
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. 2 of the 5 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 22 comparable posts for this entry, running 3 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.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @cryptodaily. That is a statement about our reading window, not a claim of authorship.
Views and reactions moved apart
On 49 of the 97 posts we watched over 30 days, the view counter climbed while the reaction counter stayed where it was — by more than this channel’s own reactions-per-view rate can account for. That rate, measured on this entry, is 0.0609 reactions per view.
Each interval, as we read it — views and reactions before and after
Expected is the view gain multiplied by this channel’s own prior reactions-per-view rate over the same post — not a corpus average, so a channel whose audience never reacts is compared only against itself. Every interval is credited in the direction that makes the observation harder to record, never easier: t.me renders views and reactions to three significant figures above ~1,000, so a raw delta can be a rendering step. Every delta below is at least 4 x the coarser reading's step, the view gain is discounted by a full step and the reaction gain credited with one. Measured by tgregister velocity.py (our own t.me/s/ readings).
What this does and does not say. It says the two counters moved apart, by more than rounding and more than this channel’s own history predicts. It asserts no cause. Views arriving from outside Telegram, an embedded or forwarded copy of the post, and a burst of readers who simply do not react all produce this shape. This detector has recorded very few observations across the whole register, and its precision has not been measured; treat it as an anomaly worth looking at, not as a finding.
Recorded under the keys clone_copy · view_reaction_decoupling, last confirmed 27 October 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.
Also posting the same content
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.
50 measurements spanning 80 days, net +48,691. 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”. The vertical axis spans 1,050,301–1,115,017 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 50
Measured (UTC)
Subscribers
Change
26 Oct 2026, 22:06
1,107,550
+13
25 Oct 2026, 18:49
1,107,537
+1,545
24 Oct 2026, 22:20
1,105,992
-1,017
23 Oct 2026, 20:31
1,107,009
+220
23 Oct 2026, 00:04
1,106,789
+411
21 Oct 2026, 22:27
1,106,378
+1,056
20 Oct 2026, 14:41
1,105,322
-153
19 Oct 2026, 17:47
1,105,475
+386
18 Oct 2026, 21:01
1,105,089
+712
17 Oct 2026, 22:28
1,104,377
+86
17 Oct 2026, 01:21
1,104,291
+3,807
15 Oct 2026, 23:27
1,100,484
-1,553
15 Oct 2026, 00:20
1,102,037
+1,257
13 Oct 2026, 16:30
1,100,780
+881
10 Oct 2026, 00:16
1,099,899
+9,204
5 Oct 2026, 20:41
1,090,695
+3,255
30 Sept 2026, 11:57
1,087,440
+6,792
18 Sept 2026, 04:35
1,080,648
+697
15 Sept 2026, 23:17
1,079,951
+1,134
14 Sept 2026, 06:37
1,078,817
first reading
Engagement
298 posts held, back to 3 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 165 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.05%
avg views ÷ 1,107,550 subscribers
Avg views / post
33,800
97 posts measured
Reaction rate
6.23%
reactions ÷ views · ER floor
Posts in window
97
of 298 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 27 October 2026
Posts held
298 (3 August 2026 – 27 October 2026)
Views total
3,279,800
Reactions total
204,326
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Oct 2026, 08:46 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
≈1,290
Videos
≈58
Links
≈859
Lifetime counters from Telegram’s own channel header, read 26 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1m 37s
Average length
24s
Measured directly from 4 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.
View velocity
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
Computed from 97 of this channel’s own posts over the last 30 days: across 94 of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 6.6 hours of being posted; a typical post has already reached 29.3% of its 24-hour view count within the first hour, and 51.9% within the first six; the median 24-hour reach across those posts is 27,050 views — 2.44% of this channel’s own subscriber count (90th percentile 45,070).
8 most recently posted, with a view-velocity reading
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed views is the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
Reaction mix
772,095 reactions across 298 posts, in 69 distinct kinds. The most used accounts for 10.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
83,033
10.8%
❤
60,251
7.80%
🔥
56,762
7.35%
💯
38,618
5.00%
🤔
33,476
4.34%
👏
29,027
3.76%
⚡
28,901
3.74%
🙏
28,622
3.71%
👀
27,409
3.55%
👌
24,652
3.19%
🏆
24,069
3.12%
🐳
23,190
3.00%
✍
20,294
2.63%
🙉
18,207
2.36%
🤝
16,937
2.19%
🤯
16,800
2.18%
🌚
16,180
2.10%
🍾
15,766
2.04%
😁
15,553
2.01%
🤩
13,265
1.72%
49 further kinds
181,083
23.5%
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 298 of the 298 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 772,095 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 298 most recent posts we hold, published 3 August 2026 to 27 October 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.
🥇 Хотел ускорить перевод крипты, а отправил монеты скамеру
Представьте: вы переводите деньги на другой кошелёк, но они всё не доходят. Решаете доплатить комиссию, чтобы перевод прошёл быстрее. Подтверждаете, а деньги уходят мошеннику.
Так потерял деньги пользователь кошелька для хранения биткоина Electrum. Разработчики подтвердили атаку.
Вот как она работала:
😮 Человек отправлял деньги, но сервер мошенника задерж…
🎮 Майнеры молча скупают железо
За последние 30 дней хэшрейт биткоина вырос на 11% и снова пробил отметку в 1 зеттахэш.
Звучит как заклинание, да? Сейчас объясню на пальцах.
Хэшрейт — это общая мощность всех компьютеров, которые добывают биткоин. Чем больше машин включено в сеть, тем выше хэшрейт.
А теперь главное: эти машины стоят бешеных денег. Плюс электричество, аренда, охлаждение. Просто так их никто не покуп…
😮 Минус 10% от хая. Хватит или будет глубже?
Биткоин за выходные сходил под $80К. Ликвидаций на $547 млн, почти все в лонгах. Из ETF за две недели вынесли около $910 млн 👌 Добавьте новости с Ближнего Востока и ФРС на этой неделе.
В чатах снова пессимизм. Давайте посмотрим спокойно. На фактах.
Есть интересная закономерность. Чем глубже была медвежка, тем сильнее потом трясёт в бычке. Как пружина: чем сильнее её сжа…
😮 Горит Париж - Гори и Ledger
В России впервые зафиксированы случаи продажи аппаратных криптокошельков Ledger со встроенными шпионскими модулями.
Что произошло
Где нашли:
Скомпрометированный кошелек (Ledger Nano X) приобрели через российский маркетплейс (Ozon).
В чем суть модификации: Внутрь корпуса устройства злоумышленники встроили миниатюрную дополнительную плату с антенной, заменили аккумулятор и добавили скр…
🥇 Самая дорогая земля в мире
В 2014 году миллиардер Чамат Палихапития купил участок у озера Тахо. Заплатил 2 739 биткоинов. Тогда это было $1,6 млн.
Сегодня эти монеты стоили бы около $220 млн. Обычный кусок земли с соснами 🌲
А на этой неделе Чамат заявил: биткоин упрётся в потолок, потом его взломает искусственный интеллект, и цена уйдёт в ноль.
Звучит страшно, и кажется, что “наверное этот опытный инвестор что-…
🥇 Дежавю: где-то я это уже видел
Смотрю на график биткоина и ловлю себя на мысли: это же 2023 год. Прямо под копирку.
Напомню, как было тогда. Биток вырвался из диапазона, нарисовал новый недельный максимум… и пошёл вниз. Многие сразу решили: всё, бычка отменяется.
А я тогда писал, что бычий рынок начался. Мне крутили у виска и смеялись.
Что сделала цена? Вернулась к верхней границе старого диапазона, потрогала е…
🥇 Прибыль по сетке и прибыль по тренду: в чём разница и по какой цифре оценивать бота
Откройте любого работающего сеточного бота на Pionex, и увидите несколько цифр прибыли. Прибыль по сетке зелёная и растёт, а рядом PnL по тренду, который бывает красным. Из-за него и общий итог иногда уходит в минус.
Отсюда и стресс: бот вообще зарабатывает или нет? Участница нашего челленджа Станислава как раз так понервничала но…
🎰 КРИПТОРЫНОК МОЖЕТ РАСТИ ДАЖЕ БЕЗ НОВЫХ ПОКУПАТЕЛЕЙ
Звучит странно, но для сильного движения цены не всегда нужен огромный приток свежих денег.
Иногда достаточно, чтобы продавцов стало значительно меньше.
Именно поэтому рынок может месяцами стоять на месте, а затем резко вырасти без каких-либо громких новостей.
Разберёмся, как это работает.
Представьте, что Bitcoin несколько недель торгуется около $80 000.
Каж…
💴 Ловушка перед выборами
3 ноября в США промежуточные выборы в Конгресс. И у биткоина есть одна хитрая привычка, связанная с этой датой.
Посмотрите на картинку. Это прошлые выборы. Видите закономерность?
За 20–30 дней до выборов рынок рассказывает толпе какую-то историю. И эта история почти всегда оказывается ЛОЖНОЙ.
Как это работает:
📈 Перед выборами все радуются, цена ползёт вверх. После выборов рынок разворач…
💴 У РЫНКА ЕСТЬ ПАМЯТЬ. И ОНА МОЖЕТ СТОИТЬ МИЛЛИАРДЫ
Представьте, что Bitcoin несколько месяцев торговался около $100 000, а затем упал до $80 000.
Теперь каждый раз, когда цена начинает восстанавливаться, в районе $100 000 появляются продавцы.
Почему?
Не обязательно потому, что актив стал слишком дорогим.
Просто огромное количество людей когда-то покупало его именно там.
И теперь они ждут возможности выйти хотя…
⚫️ НЕФТЬ ВЫШЕ $115. РЫНОК ГОТОВИТСЯ К НОВОМУ УДАРУ ПО ИРАНУ
На мировых рынках снова усиливается напряжённость.
Фондовые индексы снижаются, нефть торгуется выше $115, а инвесторы опасаются новой эскалации конфликта на Ближнем Востоке.
Главный риск — возможный удар США и Израиля по Ирану.
Участники рынка допускают, что военная операция может произойти в ближайшее время, в том числе после закрытия американских торго…
😏Крупное Обновление бота
Рынок вернулся в активную фазу после летней спячки, бот снова усыпан сигналами, а значит это время для большого обновления, чтобы быть быстрее всех
Что было изменено/добавлено:
- Оптимизация алгоритмов доставки и получения связок. Самый быстрый режим также остается за Автотрейдером, но теперь есть возможность получения связок по API и в тарифе Трейдер (функционал получения связок через ТГ …
🤝939🙏692👍629❤414🔥351🏆250🌚210🤩170
Showing the 12 most recent of 298 posts we hold for @metaneftis. 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.
Posts edited after publishing
@metaneftis edited 9 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
17 September 2026
Most recent edit
24 September 2026
Mentions
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@metaneftis named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@rollsroyecadv named in 5 posts, 26 August 2026 – 4 September 2026
Domains linked from posts
5 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 26 October 2026 — this
entry's latest reading, not the date you are reading this.
“Crypto Neftis l Трейдинг, крипта, Web3” (@metaneftis), 1,107,550 subscribers as measured 26 October 2026. Telegram Register, tgregister.com/channel/metaneftis.
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.
