【盘中宝】AI算力需求旺盛带动该行业景气度持续提升,二季度相关板块净利润同比增超200%,这家企业参股公司拥有自主知识产权, #长江通信 #杭电股份
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Channel
@clsvip
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
40,659subscribers
+972 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001705253507 |
|---|---|
| Type | Channel |
| 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 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 11 September 2026 |
| On Telegram | t.me/clsvip |
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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Sept 2026, 02:56 | 40,659 | +58 |
| 8 Sept 2026, 04:20 | 40,601 | +94 |
| 5 Sept 2026, 03:01 | 40,507 | +34 |
| 3 Sept 2026, 05:58 | 40,473 | +7 |
| 2 Sept 2026, 00:04 | 40,466 | -2 |
| 31 Aug 2026, 21:25 | 40,468 | +6 |
| 30 Aug 2026, 21:44 | 40,462 | +40 |
| 29 Aug 2026, 20:47 | 40,422 | +20 |
| 28 Aug 2026, 21:07 | 40,402 | +22 |
| 27 Aug 2026, 17:47 | 40,380 | +26 |
| 26 Aug 2026, 19:03 | 40,354 | +38 |
| 25 Aug 2026, 16:52 | 40,316 | +32 |
| 24 Aug 2026, 17:02 | 40,284 | +54 |
| 23 Aug 2026, 00:17 | 40,230 | +36 |
| 21 Aug 2026, 15:36 | 40,194 | +42 |
| 20 Aug 2026, 14:52 | 40,152 | +57 |
| 19 Aug 2026, 16:03 | 40,095 | +36 |
| 18 Aug 2026, 12:57 | 40,059 | +36 |
| 17 Aug 2026, 11:42 | 40,023 | +53 |
| 16 Aug 2026, 01:44 | 39,970 | first reading |
863 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 78 pages of Telegram’s post history, 20 posts per page.
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 146 of 744 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 September 2026 |
|---|---|
| Posts held | 863 (7 August 2026 – 11 September 2026) |
| Views total | 448,238 |
| Reactions total | 148 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Sept 2026, 13:47 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.
Lifetime counters from Telegram’s own channel header, read 11 September 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.
177 reactions across 122 posts, in 4 distinct kinds. The most used accounts for 71.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 127 | 71.8% | |
| 👍 | 48 | 27.1% | |
| 👏 | 1 | 0.565% | |
| 😁 | 1 | 0.565% |
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 177 of the 863 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 177 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 863 most recent posts we hold, published 7 August 2026 to 11 September 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.
【盘中宝】AI算力需求旺盛带动该行业景气度持续提升,二季度相关板块净利润同比增超200%,这家企业参股公司拥有自主知识产权, #长江通信 #杭电股份
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【盘中宝】AI算力需求旺盛带动该行业景气度持续提升,二季度相关板块净利润同比增超200%,这家企业参股公司拥有自主知识产权, #德尔股份 #欣旺达
❤1
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【收盘前分析】 今天市场探底回升,在技术上是属于抵抗K线,市场后续走势会更加的复杂,技术上60分钟上是属于一次超卖的反弹,因此技术上应该会还有一次杀跌,如果盈利的部分,最好做仓位上的控制,等待大盘二低点的时候做仓位上的回补。 如果高抛了的个股,那等待大盘小时图上的二低点去低吸。 今天的探底回升把做短线的资金给吓跑了,短线题材短期内也不太好做。 控盘资金,今天反而没有护盘,参与了杀跌,之所以这样,不好分析。 机构资金今天反而是干活了,主要参与的方向是PCB,同时资金开始关注到了MLCC的个股,并且CPO的龙头个股开始有资金加仓。 应对策略: 1、注意大盘二次的下探带来的伤害,不要开新仓, 2、机构资金今天逆势加仓的个股要注意观察,而不是去参与,等待市场企稳之后做进场, 机构资金选择的逻辑:PCB(铜箔,)MLCC,光模块。
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【风口研报·公司】这家公司水电+火电业务双引擎驱动,水电资产逐步投产有望带来估值上行,且分红具备不低于60%承诺 #国电电力
❤1
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【机构调研】头部CSP厂商加大AI资本开支,这家智能硬件ODM服务商数据业务营收全年预计突破600亿元 #华勤技术
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【狙击龙虎榜午盘】外围利空压制A股全线走弱 风险提前宣泄资金集体避险 #领先股份
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【掘金行业龙头】核电+铜连接+电缆,核电产品填补了国际空白,已完成单通道448G高速通信线样品的开发,这家公司热缩材料市场份额国内第一 #沃尔核材
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【盘中宝】新一代信息技术研发持续提速,该领域产业配套政策密集出台,这家公司已技术布局相关细分领域 #中光防雷 #中哈通信
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【风口研报·公司】高盛大幅上调光模块市场预测,机构预计增量利润将优先向上游光芯片迁移,公司刚获得10亿元+订单并正扩充产能以匹配,有望成为光纤以外的新利润来源 #永鼎股份
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【盘中宝】随着订单加速交付+全球贸易拓展,该行业有望构建新增长曲线,后续新订单若如期下达景气度或向全面回暖切换,这家企业可提供多型号产品 #长城军工 #内蒙一机
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Showing the 12 most recent of 863 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.
@clsvip edited 5 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
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.
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.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“财联社VIP文章分享” (@clsvip), 40,659 subscribers as measured 11 September 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.