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Channel

财联社VIP文章分享

@clsvip

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

41,105subscribers

+1,418 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001705253507
TypeChannel
Username@clsvip
Description财联社 VIP文章即时更新:盘中宝、风口研报、狙击龙虎榜、电报解读、财联社早知道、研选、公告早知道、九点特供:https://t.me/clsvip 频道始建于2022年2月28日 股票交流群组:https://t.me/clsapp 合作请联系:https://t.me/cn50etf
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live27 October 2026
Measurements held50
Confirmed unchanged1 time, most recently 27 October 2026
On Telegramt.me/clsvip

Topic

Marketing & affiliate — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 40% 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.

Growth

39,68741,12840,407.57 August 2026 — 39,687 subscribers7 August 2026 — 39,687 subscribers8 August 2026 — 39,712 subscribers9 August 2026 — 39,742 subscribers9 August 2026 — 39,782 subscribers11 August 2026 — 39,820 subscribers12 August 2026 — 39,869 subscribers13 August 2026 — 39,917 subscribers14 August 2026 — 39,938 subscribers16 August 2026 — 39,970 subscribers17 August 2026 — 40,023 subscribers18 August 2026 — 40,059 subscribers19 August 2026 — 40,095 subscribers20 August 2026 — 40,152 subscribers21 August 2026 — 40,194 subscribers23 August 2026 — 40,230 subscribers24 August 2026 — 40,284 subscribers25 August 2026 — 40,316 subscribers26 August 2026 — 40,354 subscribers27 August 2026 — 40,380 subscribers28 August 2026 — 40,402 subscribers29 August 2026 — 40,422 subscribers30 August 2026 — 40,462 subscribers31 August 2026 — 40,468 subscribers2 September 2026 — 40,466 subscribers3 September 2026 — 40,473 subscribers5 September 2026 — 40,507 subscribers8 September 2026 — 40,601 subscribers11 September 2026 — 40,659 subscribers13 September 2026 — 40,700 subscribers14 September 2026 — 40,782 subscribers16 September 2026 — 40,830 subscribers18 September 2026 — 40,873 subscribers25 September 2026 — 40,893 subscribers3 October 2026 — 41,000 subscribers8 October 2026 — 40,963 subscribers12 October 2026 — 40,977 subscribers14 October 2026 — 41,009 subscribers15 October 2026 — 41,029 subscribers16 October 2026 — 41,025 subscribers17 October 2026 — 41,037 subscribers18 October 2026 — 41,043 subscribers19 October 2026 — 41,071 subscribers20 October 2026 — 41,075 subscribers21 October 2026 — 41,088 subscribers22 October 2026 — 41,101 subscribers23 October 2026 — 41,128 subscribers25 October 2026 — 41,126 subscribers26 October 2026 — 41,116 subscribers27 October 2026 — 41,105 subscribers41,1057 August 202627 October 2026
50 measurements spanning 82 days, net +1,418. 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 39,471–41,344 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 50
Measured (UTC)SubscribersChange
27 Oct 2026, 23:5141,105-11
26 Oct 2026, 22:4141,116-10
25 Oct 2026, 21:2841,126-2
23 Oct 2026, 17:0141,128+27
22 Oct 2026, 20:1741,101+13
21 Oct 2026, 16:3741,088+13
20 Oct 2026, 10:2941,075+4
19 Oct 2026, 13:2841,071+28
18 Oct 2026, 13:4841,043+6
17 Oct 2026, 10:4641,037+12
16 Oct 2026, 11:4041,025-4
15 Oct 2026, 09:3541,029+20
14 Oct 2026, 08:4141,009+32
12 Oct 2026, 18:3740,977+14
8 Oct 2026, 08:4240,963-37
3 Oct 2026, 20:4141,000+107
25 Sept 2026, 05:2040,893+20
18 Sept 2026, 17:5940,873+43
16 Sept 2026, 08:2040,830+48
14 Sept 2026, 15:4040,782first reading

Engagement

1,605 posts held, back to 7 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 169 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.36%
avg views ÷ 41,105 subscribers
Avg views / post
560
570 posts measured
Reaction rate
0.165%
reactions ÷ views · ER floor
Posts in window
570
of 1,605 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 169 of 570 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 October 2026
Posts held1,605 (7 August 2026 – 28 October 2026)
Views total319,452
Reactions total178
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Oct 2026, 15:13 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
≈924
Links
≈5,130

Lifetime counters from Telegram’s own channel header, read 28 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.

Reaction mix

285 reactions across 202 posts, in 4 distinct kinds. The most used accounts for 52.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍15052.6%
❤13346.7%
👎10.351%
😁10.351%

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 259 of the 1,000 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 285 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 2 September 2026 to 28 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.

Recent posts

28 Oct 2026, 07:08 UTC305 views2 reactionsread 28 October 2026
Photo

鞠磊线下私享会 课程官方介绍:https://mp.weixin.qq.com/s/-Q-YFBzZeFpIdGqYXs9Svg 一、报名参加学员,鞠磊老师会建一个小群,小群会思想指导(懂得都懂),至少服务半年左右时间,50000元的课程内容,干货应该不少,我们这里办理人员独立建一个小群转发同步学习。 二、咨询了一下鞠磊老师,说这次线下课费用贵,是不是还有福利鞠磊老师答复,除了小群内容,可能会增加一个一次性掘金小栏目。 小群内容到时候会统一发到创建的小群,单独发鞠老师的消息,跟踪半年时间,小范围群有具体的标的,鞠老师每天都在群里交流,日常课程不包含这些内容。 请大家考虑清楚之后再购买,因为本次人员太少仅限30名,只能保证全程有录音。300元一人合购,一经付费不退不换。 联系 @cn50etf

👍2

Signed UpUpUp

28 Oct 2026, 07:07 UTC553 views3 reactionsread 28 October 2026
File

【盘中宝】大模型的“燃料”,AI正推动该行业从消费品转向新领域重新定价,这家企业拓展了AI细分服务变现路径 #读者传媒 #中国科传

👍2❤1

Signed UpUpUp

28 Oct 2026, 07:01 UTC556 views1 reactionsread 28 October 2026
File

【盘中宝】为AI提供真实环境中的感知与数据支撑,英伟达正在把AI算力的竞争拓展至该领域,这家公司可提供相关产品和解决方案 #移远通信 #通宇通讯

👍1

Signed UpUpUp

28 Oct 2026, 06:59 UTC543 views1 reactionsread 28 October 2026
File

【风口研报·公司】三季度业绩表现出色,分析师强call公司AI赋能数智转型,“主业+影视”融合稳步推进,并上调未来三年盈利预测 #南方传媒

👍1

Signed UpUpUp

28 Oct 2026, 06:20 UTC531 viewsread 28 October 2026
File

【狙击龙虎榜午盘】市场高开放量强势震荡 机器人全线高潮 硬科技与传媒迎来回流 #南山智尚

Signed UpUpUp

28 Oct 2026, 06:18 UTC504 viewsread 28 October 2026
File

【机构调研】这家公司布局物理AI具身智能训练数据,与头部世界模型企业在真机遥操方向深度合作 #海天瑞声

Signed UpUpUp

28 Oct 2026, 06:14 UTC495 viewsread 28 October 2026
File

【掘金行业龙头】机器人+工业母机,灵巧手用微型滚珠丝杠已获客户定点,正为国内企业定制人形机器人用关节模组产品,这家公司二代机床产能将超40台/月 #双林股份

Signed UpUpUp

28 Oct 2026, 06:12 UTC475 viewsread 28 October 2026
File

【研选•行业数据】这类产品近期制作与分发出现新变化,有望成为继AI剧之后的新增长内容 #盛天网络 #上海电影 #完美世界 #芒果超媒

Signed UpUpUp

28 Oct 2026, 06:06 UTC481 viewsread 28 October 2026
File

【风口研报·公司】卡位物理AI触觉数据入口,这家公司已落地多技术路线柔性电子皮肤产品,向下游多家客户送样测试、个别客户已实现样品订单落地 #鹿山新材

Signed UpUpUp

28 Oct 2026, 06:01 UTC487 viewsread 28 October 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_2026836828

Signed 极搜🔍资源搜索@JISOU

28 Oct 2026, 06:01 UTC465 viewsread 28 October 2026
File

【盘中宝】或为物理AI最稀缺的底层资源,该领域面临巨大的资源缺口,这家公司具身智能业务涵盖多个关键环节 #凌云光 #天奇股份

Signed UpUpUp

Showing the 12 most recent of 1,605 posts we hold for @clsvip. 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

@clsvip edited 7 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
9 August 2026
Most recent edit
20 October 2026

Forward network

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

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.

敏感经济信息分享
@pelosi3 · 72,083
Telegram ranks this channel #23 of 51 here — alongside 50 others — read 20 August 2026
ahhhhfs|A姐分享
@abskoop · 304,452
Telegram ranks this channel #34 of 50 here — alongside 49 others — read 17 August 2026

This channel appears in 2 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 27 October 2026 — this entry's latest reading, not the date you are reading this.

“财联社VIP文章分享” (@clsvip), 41,105 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/clsvip.

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.