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 10 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 (6 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. 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 21 comparable posts for this entry, running 29 June 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 @piftwit — 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.
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.
14 measurements spanning 16 days, net +81. 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 25,551–25,675 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
22 Aug 2026, 23:08
25,661
+30
21 Aug 2026, 16:15
25,631
-8
19 Aug 2026, 11:27
25,639
+6
18 Aug 2026, 11:32
25,633
-1
17 Aug 2026, 09:59
25,634
-5
15 Aug 2026, 17:57
25,639
-18
14 Aug 2026, 03:06
25,657
+2
12 Aug 2026, 18:06
25,655
+3
11 Aug 2026, 18:53
25,652
+2
10 Aug 2026, 16:11
25,650
+66
9 Aug 2026, 12:51
25,584
+19
8 Aug 2026, 15:07
25,565
-13
7 Aug 2026, 12:04
25,578
-2
6 Aug 2026, 17:46
25,580
first reading
Engagement
27 posts held, back to 29 June 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 37 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
33.3%
avg views ÷ 25,661 subscribers
Avg views / post
8,550
13 posts measured
Reaction rate
1.54%
reactions ÷ views · ER floor
Posts in window
13
of 27 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 22 August 2026
Posts held
27 (29 June 2026 – 22 August 2026)
Views total
111,140
Reactions total
1,707
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Aug 2026, 19:29 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.
Reaction mix
3,292 reactions across 27 posts, in 15 distinct kinds. The most used accounts for 55.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,841
55.9%
❤
536
16.3%
🔥
443
13.5%
🐳
228
6.93%
👌
110
3.34%
🤔
40
1.22%
⚡
31
0.942%
🤣
21
0.638%
😱
11
0.334%
🤓
11
0.334%
❤🔥
9
0.273%
😁
6
0.182%
🤯
3
0.091%
👏
1
0.03%
😍
1
0.03%
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 27 of the 27 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 3,292reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 29 June 2026 to 22 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.
Telegram Stars
Stars received
47
across the posts below
Posts paid on
27
of 27 we hold a reading for · 100%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @piftwit. 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 27 most recent posts we hold for this entry, published 29 June 2026 to 22 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.
👨🏻🎓 Аналитик: CryptoBullet
📝 Мнение: Сравнивая текущий цикл с 2019-2021, можно заметить интересное сходство.
Тогда после формирования локального минимума цена восстановилась к зоне 0.382 по Фибоначчи, где встретила сильное сопротивление. После этого последовало снижение с обновлением лоя, и лишь затем начался полноценный бычий цикл.
Сейчас Биткоин также восстановился после падения и вплотную подошёл к уровню 0.38…
👨🏻🎓 Аналитик: Tolimanu
📝 Мнение: На данный момент рассматриваю сценарий с продолжением роста к области продавца (golden short zone), после чего ожидаю увидеть очередную волну снижения с обновлением минимумов.
Пока сохраняем осторожность и следим за реакцией цены в ключевых зонах.
🔖 Комментарии: На фоне позитивных новостей Биткоин показал сильный рост.
• США рассматривают возможность покупки значительных объёмов …
🤗 PIF METRICS: Рубрика, в которой мы будем делиться с вами интересными on-chain показателями простыми словами.
✅ Метрика: MVRV Realized Price
🔖 Комментарии: Исторически значения 'MVRV ниже 1' неоднократно совпадали с формированием глобального дна.
Сейчас показатель приближается к этой зоне. Однако критический уровень ещё не пройден, поэтому говорить о завершении медвежьей фазы пока рано.
В таком случае в среднеср…
🚨 Друзья, рекомендация по рынку!!!!
На канале Pifagor несколько раз в неделю публикуются короткие разборы на основе on-chain метрик.
Что за минуту узнаете:
⁉️ Куда может двигаться цена Биткоина?
🟩 Реальные зоны покупок
🟥 Блоки продавцов
🔥 Насколько перегрета цена и не только.
➡️ Последний разбор BTC - ссылка
👨🏻🎓 Аналитик: SIRRILLAH
📝 Мнение: Базовый сценарий предполагает краткосрочный прокол уровня с целью сбора стопов ниже поддержки. Если покупатели смогут быстро вернуть цену обратно в диапазон, это станет сильным сигналом в пользу смены локальной динамики.
В таком случае следующей целью может выступить район около $80,000.
P.S Пока цена находится выше области около $60 000, данный сценарий остаётся актуальным.
🔖 К…
📊 PIF Liquidity (Levels): Инструмент предназначен для помощи трейдерам в определении зон ликвидности.
🛒 Данные взяты с бирж: Binance
🔖 Комментарии: Пока что область сопротивления в районе $68,000–70,000 является целевой зоной, и, как мы видим, понемногу цена приближается к ней.
Вдобавок, на тепловой карте отмечаются два кластера ликвидности, которые выступают магнитом для BTC, а именно диапазоны около $67,400 и $6…
👨🏻🎓 Аналитик: Crypto Lens
📝 Мнение: Сейчас мы входим в ПОСЛЕДНЮЮ бычью ловушку, прежде чем BTC опустится к $50,000.
Возможный сценарий:
$64,000→ $70,000 → $57,000 → $50,000
Следующие цели:
→ $70,000 - уже на этой неделе.
→ $50,000 - к следующему месяцу.
Не становитесь ликвидностью для выхода крупных игроков.
🔖 Комментарии: По временным рамкам лучше не ориентироваться! В остальном, пока это основной сценарий, …
😰 А точно ли будет падение BTC????
Эмоции - плохой советчик. Гораздо важнее смотреть на факты, а именно на on-chain-метрики.
В свежем Shorts разберём:
• Где находится ключевая зона для разворота?
• Какой индикатор подтвердит начало бычьего тренда?
• Чего ждать от Биткоина в ближайшее время?
Получить ответы в сжатом формате (1 минута) - ссылка
👨🏻🎓 Аналитик: CrypNuevo
📝 Мнение: Цена полностью сняла ликвидность под линией тренда и сейчас наступает ключевой момент. После недавнего снижения Биткоин должен набрать силу, вернуть себе уровень $65,000 и продолжить движение вверх.
Если такого не произойдёт, то актив, скорее всего, сразу направится к $59,000.
🔖 Комментарии: При росте Биткоина в район $69,000, можно обратить внимание на индикатор от Pifagor - ссы…
😱 Лонгистам Конец??? [Негатив для Быков]
Поскольку Биткоин приближается к локальной развязке, важно понимать, насколько сейчас рискованно набирать позицию.
Данный вопрос мы подробно разобрали в недавнем шортсе - клац. Вдобавок рекомендуем ознакомиться со свежим постом по BTC - ссылка.
📊 PIF Liquidity (Levels): Инструмент предназначен для помощи трейдерам в определении зон ликвидности.
🛒 Данные взяты с бирж: Binance
🔖 Комментарии: На месячной карте основное скопление ликвидности сейчас находится в районе $61,500, а на недельной - около $66,700.
Исходя из текущей картины, наиболее вероятный сценарий - сначала снижение к $61,500, после чего движение вверх к $66,700.
➡️ Pifagor.trade
👨🏻🎓 Аналитик: Doctor Profit
📝 Мнение: Сейчас многие пытаются угадать точное дно, ожидая снижения к $48,000–44,000. Однако гораздо важнее не поймать идеальный минимум, а постепенно набирать позицию в сильной зоне поддержки. На этой неделе ключевым событием станет заседание FOMC - именно оно может определить дальнейшее направление движения рынка.
🔖 Комментарии: По on-chain метрикам уже закрепились сигналы для части…
👍86❤20⚡4😱4🐳1
Showing the 12 most recent of 27 posts we hold for @piftwit. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 493,689 of 1,584,142entries 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.
Mentions
Named by 2 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.
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.
Appears in Telegram’s recommendations for other channels
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.
PIFAGOR TRADE @pifagortrade · 85,761 Telegram ranks this channel #3 of 95 here — alongside 94 others — read 18 August 2026
Эра Перемен — аналитическое агентство @eraperemenfinans · 76,852 Telegram ranks this channel #4 of 96 here — alongside 95 others — read 19 August 2026
Mr Mozart @mr_mozart · 130,614 Telegram ranks this channel #7 of 95 here — alongside 94 others — read 13 August 2026
IKIGAI @ikigaimain · 98,861 Telegram ranks this channel #9 of 91 here — alongside 90 others — read 16 August 2026
Gennady M @gen_m · 66,948 Telegram ranks this channel #11 of 97 here — alongside 96 others — read 21 August 2026
СЛЕЗЫ САТОШИ @slezisatoshi · 125,062 Telegram ranks this channel #13 of 96 here — alongside 95 others — read 13 August 2026
Профессор Клинков @professorklinkov · 80,941 Telegram ranks this channel #22 of 91 here — alongside 90 others — read 18 August 2026
Сытый хомяк @wellfedhamster · 89,661 Telegram ranks this channel #23 of 93 here — alongside 92 others — read 17 August 2026
SANCHO D.T. @SANCHO_DT · 65,703 Telegram ranks this channel #27 of 80 here — alongside 79 others — read 21 August 2026
Crypto Headlines @crypto_hd · 133,053 Telegram ranks this channel #28 of 95 here — alongside 94 others — read 13 August 2026
Gerchik Trading Ecosystem @AlexanderGerchik · 75,676 Telegram ranks this channel #30 of 88 here — alongside 87 others — read 19 August 2026
Артём Звёздин - обучение трейдингу @uiartemzvezdin · 75,142 Telegram ranks this channel #32 of 92 here — alongside 91 others — read 19 August 2026
Crypto Falcon @falconinvestors · 82,341 Telegram ranks this channel #42 of 92 here — alongside 91 others — read 18 August 2026
Trader 80/20 @tradertrend · 61,040 Telegram ranks this channel #52 of 96 here — alongside 95 others — read 22 August 2026
Coin Post – Деньги, инвестиции, биткоин @Coin_Post · 293,956 Telegram ranks this channel #71 of 94 here — alongside 93 others — read 10 August 2026
This channel appears in 15 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
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 22 August 2026 — this
entry's latest reading, not the date you are reading this.
“PIF TWIT” (@piftwit), 25,661 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/piftwit.
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.