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 90% 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 the other topics.
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 in near-verbatim form on 3 other registered channels. 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)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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. 10 of the 10 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 745 comparable posts for this entry, running 4 August 2026 to 12 November 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).
Recorded under the key clone_source, last confirmed 12 November 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.
Growth
63 measurements spanning 97 days, net -46,463. 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 222,208–282,609 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
11 Nov 2026, 22:56
229,177
-569
9 Nov 2026, 22:51
229,746
-730
8 Nov 2026, 16:16
230,476
-841
7 Nov 2026, 07:26
231,317
-225
6 Nov 2026, 10:06
231,542
-560
5 Nov 2026, 09:16
232,102
-634
4 Nov 2026, 06:50
232,736
-226
3 Nov 2026, 09:00
232,962
-486
2 Nov 2026, 11:28
233,448
-117
1 Nov 2026, 08:50
233,565
-590
31 Oct 2026, 11:46
234,155
-355
30 Oct 2026, 12:18
234,510
-454
29 Oct 2026, 08:56
234,964
-667
28 Oct 2026, 04:27
235,631
-444
27 Oct 2026, 07:05
236,075
-219
26 Oct 2026, 09:36
236,294
+65
25 Oct 2026, 06:21
236,229
-191
24 Oct 2026, 07:27
236,420
-974
23 Oct 2026, 05:18
237,394
-1,446
22 Oct 2026, 05:06
238,840
first reading
Engagement
746 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 200 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.305%
avg views ÷ 229,177 subscribers
Avg views / post
699
252 posts measured
Reaction rate
0.38%
reactions ÷ views · ER floor
Posts in window
252
of 746 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 228 of 252 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 12 November 2026
Posts held
746 (4 August 2026 – 12 November 2026)
Views total
176,160
Reactions total
606
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 02:13 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
5
Links
241
Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
1,136 reactions across 530 posts, in 11 distinct kinds. The most used accounts for 85.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
970
85.4%
❤
138
12.1%
😁
6
0.528%
👏
5
0.44%
😢
5
0.44%
🥰
4
0.352%
👻
3
0.264%
🔥
2
0.176%
🍾
1
0.088%
🎉
1
0.088%
🐳
1
0.088%
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 547 of the 746 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 1,136 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 746 most recent posts we hold, published 4 August 2026 to 12 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 252 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
【微软呼吁特朗普政府叫停中国光模块进口禁令】
三名知情人士表示,微软及其他企业和行业团体正敦促特朗普政府停止禁止从中国进口 AI 数据中心关键部件的计划。美国联邦通信委员会(FCC)正推进相关禁令,涉及中国新型光模块。这类组件用于在数据中心内通过光纤传输数据,并连接服务器、路由器和交换机。微软曾与白宫科技政策办公室及国家安全委员会官员会面,说明禁令可能带来的供应链挑战。信息技术产业委员会政策执行副总裁兼总法律顾问 John Miller 表示,许多云服务商已采购 AI 芯片,若缺少光模块,这些芯片将无法互联使用。据 Cleanview 数据,微软目前有 35 座美国数据中心在建,另有 134 座规划中。Counterpoint Research 数据显示,中国企业占全球光模块市场约三分之二,Eoptolink 和中际旭创为主要供应商。
【日本金融厅更新无牌加密平台警告页面,提醒防范提现受阻等风险】
日本金融厅更新了“无牌金融及加密资产交易平台”警告页面,并新增消费者厅的防诈骗对策链接,提醒投资者防范未在日本注册的交易平台。金融厅指出,这类无牌平台缺乏投资者保护机制,常出现拒绝用户提现、收取“天价手续费”甚至突然失联等问题。官方提醒用户在交易前,务必通过“金融业者统一检索功能”核实平台资质。在 9 月更新的警告名单中,新增了运营“IZAKA-YA”的香港公司。此外,日本消费者厅已于 9 月出台防诈骗措施,将利用 AI 分析各地消费者咨询数据,以便及早识别恶性诈骗手法。
👍2
Showing the 12 most recent of 746 posts we hold for @fenchacaij. 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Telo News 简体中文 - 加密货币|DeFi |Web3 @telonews_cn · 79,720#1
Read from Telegram’s recommendation API, most recently 17 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
金色财经 @jinsecaijinpingdao · 216,229 Telegram ranks this channel #1 of 90 here — alongside 89 others — read 17 August 2026
Btok News @BtokMedia · 260,028 Telegram ranks this channel #1 of 88 here — alongside 87 others — read 17 August 2026
Btok.com Official Channel @BTOKOFFICIALCHANNEL · 288,254 Telegram ranks this channel #2 of 71 here — alongside 70 others — read 17 August 2026
金色财经新闻频道 @jinse2017 · 22,579 Telegram ranks this channel #3 of 60 here — alongside 59 others — read 20 September 2026
金色财经/币圈快讯7*24小时 @jinseBTC · 23,945 Telegram ranks this channel #3 of 72 here — alongside 71 others — read 17 September 2026
互联网观察 @guanchahulw · 59,864 Telegram ranks this channel #3 of 72 here — alongside 71 others — read 20 August 2026
Floki & TokenFi 中文社区入口 @flokiinuchina · 182,599 Telegram ranks this channel #4 of 81 here — alongside 80 others — read 17 August 2026
The Block @TheBlock001 · 47,765 Telegram ranks this channel #5 of 61 here — alongside 60 others — read 22 August 2026
Telo News 简体中文 - 加密货币|DeFi |Web3 @telonews_cn · 79,720 Telegram ranks this channel #5 of 65 here — alongside 64 others — read 18 August 2026
Toncoin 中文频道 @toncoin_cn · 136,172 Telegram ranks this channel #5 of 87 here — alongside 86 others — read 17 August 2026
华尔街日报 @HuaErJie1 · 60,247 Telegram ranks this channel #7 of 80 here — alongside 79 others — read 20 August 2026
Cointelegraph @Cointelegraph001 · 58,258 Telegram ranks this channel #8 of 47 here — alongside 46 others — read 19 August 2026
Odaily资讯速递 @Odaily_News · 19,659 Telegram ranks this channel #11 of 93 here — alongside 92 others — read 26 September 2026
Coindesk @Coindesk001 · 47,028 Telegram ranks this channel #11 of 57 here — alongside 56 others — read 22 August 2026
Btok活动专区 @btokactivity · 23,467 Telegram ranks this channel #30 of 60 here — alongside 59 others — read 11 September 2026
BlockBeats @theblockbeats · 38,161 Telegram ranks this channel #32 of 92 here — alongside 91 others — read 1 September 2026
欧易OKX公告 @OKXAnnouncements_CN · 45,090 Telegram ranks this channel #32 of 88 here — alongside 87 others — read 28 August 2026
【华尔街见闻】- 财经时讯 | AI 实时互动 @FinanceNewsDaily · 59,368 Telegram ranks this channel #32 of 60 here — alongside 59 others — read 24 August 2026
PANews Web3丨加密货币丨区块链新闻频道 @ChannelPANews · 23,591 Telegram ranks this channel #33 of 96 here — alongside 95 others — read 17 September 2026
币安公告 @binance_cn · 31,578 Telegram ranks this channel #39 of 84 here — alongside 83 others — read 3 September 2026
狗狗币Dogecoin频道🚀 @doge365 · 17,558 Telegram ranks this channel #43 of 80 here — alongside 79 others — read 3 October 2026
美国之音 @voachinese · 42,209 Telegram ranks this channel #47 of 63 here — alongside 62 others — read 3 September 2026
QK哈希实时观战频道 @lookqk · 49,402 Telegram ranks this channel #52 of 62 here — alongside 61 others — read 28 August 2026
TechFlow 深潮 | 加密货币&区块链新闻 @TechFlowDaily · 18,820 Telegram ranks this channel #54 of 91 here — alongside 90 others — read 5 October 2026
This channel appears in 25 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“分叉财经(crypto news)” (@fenchacaij), 229,177 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/fenchacaij.
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.