⚜️ پایگاه خبری بلاکچین نیوز
blockchain-news.net 🌐
@Blockchainnsbot 🤖
We are solely a blockchain news platform and do not engage in token sales, fundraising, or high-risk investment offers
🔹 این کانال صرفاً پوشش خبری در حوزه رمزارزها میباشد.
Created
Between 1 June 2024 and 30 September 2024 — 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 9 August 2026 and assigned it the closest of 31 fixed categories, at 84% 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 3 other registered channels. They sit inside a group of 5 channels that share the same post bodies with each other. 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. 14 of the 14 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 29 comparable posts for this entry, running 6 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 5, the earliest publisher we hold is @CRYPTOEMAD. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_mutual, last confirmed 8 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 4 other registered channels, 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.
47 measurements spanning 78 days, net -8,184. 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 103,045–113,685 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 47
Measured (UTC)
Subscribers
Change
24 Oct 2026, 09:36
104,273
-52
23 Oct 2026, 11:54
104,325
-66
22 Oct 2026, 15:15
104,391
-90
21 Oct 2026, 10:19
104,481
-109
20 Oct 2026, 07:28
104,590
-97
19 Oct 2026, 06:26
104,687
-84
18 Oct 2026, 07:38
104,771
-78
17 Oct 2026, 07:35
104,849
-131
16 Oct 2026, 04:37
104,980
-81
15 Oct 2026, 02:38
105,061
-116
14 Oct 2026, 01:28
105,177
-243
11 Oct 2026, 07:58
105,420
-348
7 Oct 2026, 03:39
105,768
-423
2 Oct 2026, 05:55
106,191
-1,281
18 Sept 2026, 16:21
107,472
-200
16 Sept 2026, 09:59
107,672
-138
14 Sept 2026, 17:40
107,810
-156
13 Sept 2026, 02:41
107,966
-172
11 Sept 2026, 05:40
108,138
+656
8 Sept 2026, 07:01
107,482
first reading
Engagement
1,166 posts held, back to 6 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 161 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.37%
avg views ÷ 104,273 subscribers
Avg views / post
6,650
533 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
533
of 1,166 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 24 October 2026
Posts held
1,166 (6 August 2026 – 24 October 2026)
Views total
3,542,110
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Oct 2026, 04:06 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
≈6,160
Videos
≈252
Links
≈4,630
Lifetime counters from Telegram’s own channel header, read 25 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
1
of 1,000 we hold a reading for · 0.1%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Blockchain_ns. 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 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 19 August 2026 to 24 October 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.
⭕️ هدفگذاری چین برای تکمیل شبکه ملی بلاک چین تا سال ۲۰۳۰
🔸 کمیسیون مرکزی امور فضای مجازی چین در چارچوب برنامهای راهبردی اعلام کرد که شبکه ملی بلاک چین این کشور تا سال ۲۰۳۰ میلادی به طور کامل عملیاتی خواهد شد. این اقدام بخشی از طرح نوسازی ساختارهای اطلاعاتی چین به شمار میرود و هدف آن بهرهگیری گسترده از فناوریهای غیرمتمرکز در حوزههای مختلف اقتصادی و خدمات دولتی است.
💬 @Blockchain_ns
🖥 blockchain-news.net
⭕️ کشف کلاهبرداری ۳۹ میلیارد دلاری ارز دیجیتال و بازداشت ۹۶۰ متهم در امارات
🔸 وزارت کشور امارات متحده عربی با همکاری ائتلافی بینالمللی متشکل از ۳۰ کشور، شبکه گستردهای از جرایم سازمانیافته حوزه ارز دیجیتال و کلاهبرداری آنلاین را متلاشی کرد. در جریان این عملیات سهماهه موسوم به «رویارویی با روح»، بیش از ۱۲۳.۷۱ میلیون تلاش مجرمانه خنثی شد و بیش از ۳۹ میلیارد دلار دارایی دیجیتال مرتبط با کلاهبرداری شناسایی گردید.
💬 …
⭕️ فروش ۲.۴ میلیون دلار اتریوم توسط نهنگ قدیمی پس از یک دهه
🔸 یک سرمایهگذار اولیه اتریوم که در جریان عرضه اولیه سال ۲۰۱۴ حدود ۱۰۰,۰۰۰ واحد اتر را با قیمت ۰.۳۱ دلار به ازای هر واحد خریده بود، به تازگی ۱,۰۰۰ اتریوم دیگر به ارزش تقریبی ۲.۴ میلیون دلار را به صرافی کراکن منتقل کرده است. این انتقال در حالی انجام شد که قیمت اتریوم در محدوده ۲,۳۸۰ دلار معامله میشود و بازدهی دارایی این سرمایهگذار به بیش از ۷,۶۰۰ برابر رسی…
⭕️ کوچ ماینرهای بزرگ بیت کوین به هوش مصنوعی؛ چرا هش ریت شبکه رکورد میزند؟
🔸 برخی از بزرگترین شرکتهای استخراج بورسی بیت کوین در حال کاهش تولید رمزارز و انتقال ظرفیت محاسباتی خود به بخش هوش مصنوعی هستند. با وجود خروج این شرکتها، دادههای آنچین نشان میدهد که نرخ هش ریت شبکه با قدرت به مدار صعودی بازگشته و تنها کمتر از ۹٪ با بالاترین سطح تاریخی خود فاصله دارد، چرا که بازیگران جدید به سرعت این خلاء را پر کردهاند.
…
⭕️ جهش کمسابقه تقاضا برای استیکینگ اتریوم با وجود کاهش بازدهی به ۲.۶ درصد
🔸 بر اساس گزارش جدید شرکت بیت وایز، میزان داراییهای سهامگذاریشده در شبکه اتریوم در پایان سهماهه سوم به ۴۳.۸ میلیون اتریوم رسیده که معادل حدود ۳۶٪ از کل عرضه این دارایی است. این رشد چشمگیر در حالی رخ میدهد که نرخ بازده سالانه استیکینگ این شبکه روندی نزولی داشته و از ۲.۸۱٪ به ۲.۶۳٪ کاهش یافته است، اما سرمایهگذاران همچنان مشتاق قفل کردن دا…
⭕️ تداوم فروش ذخایر طلای روسیه؛ چرا تخلیه ذخایر مسکو سیگنال نزولی نیست؟
🔸 بانک مرکزی روسیه برای دهمین ماه پیاپی بخشی از ذخایر طلای خود را فروخت؛ اقدامی که در نگاه اول ممکن است سیگنالی منفی برای بازار فلزات گرانبها به نظر برسد. با این حال، دادههای منتشرشده نشان میدهد که ذخایر این کشور به کمترین سطح از سال ۲۰۱۹ میلادی رسیده و تصمیم مسکو برای نقد کردن این دارایی، در واقع نشاندهنده اهمیت استراتژیک طلا به عنوان آخرین…
⭕️ هشدار تحلیلگر بلومبرگ: بیت کوین ۱۰ هزار دلاری در صورت سقوط سهام آمریکا
🔸 مایک مکگلون، استراتژیست ارشد کالا در بلومبرگ، هشدار داده است که در صورت ورود بازار سهام آمریکا به یک اصلاح عمیق ۲۰ درصدی، قیمت بیت کوین ممکن است تا محدوده ۱۰,۰۰۰ دلار سقوط کند. به باور این تحلیلگر، رشد اخیر این ارز دیجیتال صرفاً جهشی در بازار نزولی بوده و پذیرش جریان اصلی آن از طریق صندوقهای ETF، مزیّت پیشین آن را کمرنگ کرده است.
💬 @Bloc…
⭕️ موج مخالفت غولهای والاستریت با توکنیزهکردن سهام
🔸 موج مخالفت شرکتهای بزرگ تجاری با معامله سهام خود در بستر بلاک چین شدت گرفته است. بر اساس گزارش رویترز، نامهای مطرحی همچون ولز فارگو (Wells Fargo)، اینتوئیت (Intuit) و آرم هولدینگز (Arm Holdings) رسماً با عرضه سهام خود بهصورت توکن مخالفت کردهاند. با افزوده شدن این ۶ شرکت، مجموع شرکتهای معترض آمریکایی به ۲۲ مورد رسیده است؛ اقدامی که توسعه معاملات شبانهروزی …
⭕️ بانک مرکزی رسما از نظارت بر طلای آنلاین کنار رفت
🔸 دولت با اصلاح ضوابط فروش آنلاین طلا، اختیار بانک مرکزی برای تأیید مجوز پلتفرمها و تعیین ساعت کاری آنها را حذف کرد.
🔸 به گزارش تجارت نیوز، هیئت وزیران با اصلاح دستورالعمل اجرایی خرید و فروش برخط طلا و نقره، دو مورد از اختیارات بانک مرکزی درباره پلتفرمهای فروش آنلاین طلا را کم کرد.
💬 @Blockchain_ns
🖥 blockchain-news.net
⭕️ تغییر سیاستهای امنیتی بیت کوین کور در پی آسیبپذیریهای ناشی از هوش مصنوعی
🔸 توسعهدهندگان نرمافزار بیت کوین کور (Bitcoin Core) در پاسخ به پیشرفت مدلهای هوش مصنوعی و توانایی آنها در شناسایی آسان باگها، سیاستهای امنیتی خود را بازنویسی کردند. تا پیش از این، رفع آسیبپذیریها تا زمان ارائههای بزرگ نرمافزاری محرمانه باقی میماند، اما با ورود هوش مصنوعی مولد که با یک دستور ساده قادر به یافتن رخنهها است، پنهان…
⭕️ بانک HSBC نخستین استیبل کوین خود را برای ۳.۳ میلیون کاربر در هنگ کنگ عرضه کرد
🔸 بانک اچاسبیسی از راهاندازی نخستین استیبل کوین تحت نظارت خود با نام ردکوین (RCHKD) با پشتوانه دلار هنگ کنگ خبر داد. این دارایی جدید از طریق پلتفرم پرداخت موبایلی پیمی (PayMe) در اختیار بیش از ۳.۳ میلیون کاربر و افزون بر ۱۰۰,۰۰۰ پذیرنده قرار میگیرد تا گامی کلیدی در راستای پذیرش عمومی خدمات مالی مبتنی بر فناوری بلاک چین برداشته شود…
⭕️ هشدار SEC درباره ریسکهای سیستمی «ابرهوش مصنوعی» و توکنیزاسیون داراییها
🔸 بخش بازرسیهای کمیسیون بورس و اوراق بهادار آمریکا (SEC) در فهرست اولویتهای نظارتی سال مالی ۲۰۲۷ خود، «ابرهوش مصنوعی» و «توکنیزاسیون» داراییها را بهعنوان ریسکهای سیستمی نوظهور برای بازارهای مالی معرفی کرد. این نهاد نظارتی قصد دارد نحوه تأثیرگذاری فناوریهای پیشرفته بر عملکرد بازارها، انطباق با قوانین، مقابله با تقلب و حفاظت از سرمایهگذ…
Showing the 12 most recent of 1,166 posts we hold for @Blockchain_ns. 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.
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.
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 24 October 2026 — this
entry's latest reading, not the date you are reading this.
“ارز دیجیتال | اخبار بلاکچین” (@Blockchain_ns), 104,273 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/Blockchain_ns.
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.