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 98% 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 (1 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 1 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 16 comparable posts for this entry, running 15 July 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 @CRYPTOO_STAR_CH. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, 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.
7 measurements spanning 5 days, net -106. 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 17,069–17,207 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 03:41
17,085
-5
11 Aug 2026, 01:53
17,090
-41
10 Aug 2026, 00:41
17,131
-34
9 Aug 2026, 02:55
17,165
-10
8 Aug 2026, 05:05
17,175
-16
7 Aug 2026, 05:45
17,191
no change
7 Aug 2026, 05:33
17,191
first reading
Engagement
29 posts held, back to 15 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 16 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
17.1%
avg views ÷ 17,085 subscribers
Avg views / post
2,920
28 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
29
of 29 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. It is computed over the 1 of 28 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 11 August 2026
Posts held
29 (15 July 2026 – 11 August 2026)
Views total
81,860
Reactions total
0
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 09:51 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
≈1,690
Videos
≈17
Links
≈381
Lifetime counters from Telegram’s own channel header, read 12 August 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 28 we hold a reading for · 4%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ST_CSTAR. 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 29 most recent posts we hold for this entry, published 15 July 2026 to 11 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.
📌جهش طلا به سقف دو ماهه؛ بازار چشم انتظار سیگنال تورمی آمریکا در روز چهارشنبه
🔸 قیمت طلا روز سهشنبه ۲۰ مرداد با ادامه روند صعودی خود از مرز ۴٬۴۰۰ دلار عبور کرد و به بالاترین سطح دو ماه اخیر رسید.
🔸 سرمایهگذاران اکنون در انتظار انتشار دادههای تورم آمریکا هستند که میتواند سرنخ تازهای از مسیر نرخ بهره فدرال رزرو ارائه دهد.
🔸 بخشی از رشد اخیر طلا تحت تأثیر عوامل تکنیکال شکل گرفته است. عبور قیمت از میانگین متحرک ۱…
🗞 مهمترین اخبار بازارهای مالی (دوشنبه19 مرداد ۱۴۰۵)
📊 نوسان ضمنی آپشنهای صعودی بیت کوین به کف تاریخی ۲۳٪ رسیده که نشاندهنده کاهش تقاضای صعودی و محتاطتر شدن معاملهگران نسبت به رشد BTC است.
📌 شرکت ماینینگ MARA در نیمه اول ۲۰۲۶ بیش از ۲۳٬۰۰۰ بیت کوین به ارزش ۱.۶۳ میلیارد دلار فروخت تا هزینه عملیات و توسعه خود را تأمین کند.
🚫 شرکت Strategy دوباره ۱٬۶۹۰ بیت کوین به ارزش ۱۰۸.۶ میلیون دلار فروخت. این شرکت همچنا…
📣پلیس فتا: ادعای فریزشدن رمزارز ایرانیها جعلی است؛ توصیههای امنیتی مهم به کاربران
💰پلیس فتا تهران درباره انتشار نسخههای جعلی تراستولت با وعده جلوگیری از فریز دارایی کاربران ایرانی هشدار داد. به گفته پلیس، این ادعا جعلی است و مجرمان از آن برای انتشار بدافزار و سرقت اطلاعات کیف پول کاربران استفاده میکنند.
⚠️رئیس پلیس فتا تهران از کاربران خواست برای افزایش امنیت داراییهای دیجیتال خود برخی نکات را جدی بگیرند.
🤩
🗞 مهمترین اخبار بازارهای مالی (یکشنبه۱۸ مرداد ۱۴۰۵)
💰 فورک BIP-110 بیت کوین پس از استخراج تنها ۲ بلاک عملاً متوقف شد و کمبود قدرت پردازشی و حمایت پایین ماینرها، ادامه فعالیت آن را دشوار کرد.
📊 حدود ۲۳٪ از دستگاههای مطرح استخراج بیت کوین زیانده شدهاند و حتی کارآمدترین ماینرها نیز در صورت سقوط بیت کوین به زیر ۴۶٬۷۸۷ دلار به مرز زیان میرسند.
📈 اتریوم و سولانا در حال بازنگری نرخ تورم خود هستند؛ تغییری که میتواند…
💰 فورک جنجالی BIP-110 بیت کوین بعد از استخراج ۲ بلاک متوقف شد
🖥 زنجیره جدیدی که طرفدارهای پروپوزال BIP-110 از بیت کوین جدا کردن، حدود ۸ ساعت بعد از شروع فعالیت فقط ۲ بلاک استخراج کرد؛ توی همین مدت شبکه اصلی بیت کوین ۴۸ بلاک جلو رفت.
🔸 دلیل اصلی، قدرت پردازشی بسیار پایین این زنجیره بود. BIP-110 سختی استخراج بیت کوین رو گرفته ولی ماینر کافی نداره؛ به همین خاطر استخراج هر بلاک ممکنه ساعتها طول بکشه.
🔸 حمایت ماینرها …
طلا سقف سه هفتهای رو شکست؛ سیگنال جدید برای ادامه رشد قیمت؟
📊 قیمت طلا با رد شدن از مرز ۴,۳۰۰ دلار به روند صعودیش ادامه داده و داره به سمت ثبت یه رشد تقریباً ۷ درصدی تو این هفته حرکت میکنه.
🔸 خریدارهای طلا الان محدوده مقاومتی ۴,۳۸۰ دلار یعنی سقفهای اواسط ژوئن (خرداد) رو هدف گرفتن و اگه از این سطح عبور کنن هدف بعدی محدوده ۴,۶۰۰ دلار میشه.
🔸تحلیل تکنیکال نشون میده طلا با شکستن خط روند نزولیش چشمانداز مثبت…
🐳 نهنگها بیسروصدا در حال خریدن؛ پایان بازار نزولی کریپتو نزدیکه؟
📊هولدرهای بزرگ دارن بیت کوین، اتریوم و ریپل رو توی قیمتهای پایین جمع میکنن که این کار میتونه نشونهای از مراحل پایانی روند نزولی بازار باشه.
🔸موجودی نهنگهای بیت کوین افزایش پیدا کرده و از طرف دیگه کیف پولهای بزرگ اتریوم هم از اواسط سال ۲۰۲۵ حدود ۱.۸ میلیون اتریوم به داراییهاشون اضافه کردن.
🔸قیمتهای فعلی به سطوحی رسیدن که از نظر تاری…
📌 واچلیست جدید گریاسکیل برای آلت کوینها؛ ترکیب صندوقهای کریپتویی تغییر کرد
📊 گری اسکیل اعلام کرده که ترکیب صندوقهای کریپتویی خودش رو تغییر کرده و بعد از فروش چند آلت کوین، روی رمزارزهای جدیدی سرمایهگذاری کرده.
🔴 نرخ بیکاری آمریکا منتشر شد
🖥 نرخ بیکاری آمریکا از ۴.۲ درصد به ۴.۱ درصد رسید (پیشبینیها: ۴.۲ درصد)
🔸تعداد مشاغل جدید بخش غیرکشاورزی هم از ۵۷٬۰۰۰ شغل به منفی ۲۳٬۰۰۰ شغل رسید (پیشبینیها: ۸۵٬۰۰۰ شغل). به عبارت دیگه اقتصاد نه تنها شغل جدیدی ایجاد نکرده، بلکه تعداد مشاغل کاهش پیدا کرده.
🤩
📌 سیگنال انقباضی از فدرال رزرو؛ دو عضو از افزایش نرخ بهره حمایت کردن
📊 نیل کاشکاری و لیزا کوک، دو تا از اعضای فدرالرزرو، اعلام کردن که برای مهار تورم باید کمکم افزایش نرخ بهره رو شروع کنیم. کاشکاری معتقده وضعیت خوب شرکتها، بازار کار قوی و مصرفکنندهها نشون میده سیاستهای فعلی محدودکننده نیستن.
🔸کاشکاری هفته پیش جزو سه عضوی بود که میخواست نرخ بهره افزایش پیدا کنه چون فکر میکنه بهتر از همین الان رشد نرخ ب…
Showing the 12 most recent of 29 posts we hold for @ST_CSTAR. 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.
Citation-graph rank
Citation-graph rank — 158,245 of 1,151,006entries 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.
Forward network
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.
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.
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.
𝑪𝑹𝒀𝑷𝑻𝑶𝑶_𝑨𝑩 @cryptoo_ab · 392,886 Telegram ranks this channel #26 of 64 here — alongside 63 others — read 10 August 2026
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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“⚜️CRYPTOO STAR⚜️” (@ST_CSTAR), 17,085 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ST_CSTAR.
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.