Channel
@CCTV_Finance
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
56,716subscribers
+3,968 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002151477953 |
|---|---|
| Type | Channel |
| Username | @CCTV_Finance |
| Description | 每天更新新鲜的新闻，喜欢的可以订阅，以免找不到哦！如有侵权联系必删！ 投稿、建议联系： @kdhjhgf |
| Created | Between 1 May 2024 and 31 October 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 4 September 2026 |
| Measurements held | 28 |
| Confirmed unchanged | 1 time, most recently 4 September 2026 |
| On Telegram | t.me/CCTV_Finance |
National news — 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 96% 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.
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.
Posts published here appear word for word 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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @CCTV_Finance/21133 · this entry6 Aug 2026, 13:29 UTC | @CJXW1/98697 Aug 2026, 13:02 UTC | 1.00 | 24 hours |
| @CCTV_Finance/21134 · this entry6 Aug 2026, 16:03 UTC | @CJXW1/98717 Aug 2026, 13:02 UTC | 1.00 | 21 hours |
| @CCTV_Finance/21139 · this entry6 Aug 2026, 17:36 UTC | @CJXW1/98727 Aug 2026, 13:03 UTC | 1.00 | 19 hours |
| @CCTV_Finance/21140 · this entry6 Aug 2026, 18:22 UTC | @CJXW1/98737 Aug 2026, 13:03 UTC | 1.00 | 19 hours |
| @CCTV_Finance/21146 · this entry6 Aug 2026, 19:30 UTC | @CJXW1/98747 Aug 2026, 13:04 UTC | 1.00 | 18 hours |
| @CCTV_Finance/21148 · this entry6 Aug 2026, 20:38 UTC | @CJXW1/98767 Aug 2026, 13:05 UTC | 1.00 | 16 hours |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @CJXW1 | 8 (8/8 hand-verifiable sample passed) | 1.00 | 18 hours | this entry (8–0) |
| @CJXW2 | 8 (8/8 hand-verifiable sample passed) | 1.00 | 18 hours | this entry (8–0) |
| @gj933 | 7 (7/7 hand-verifiable sample passed) | 1.00 | 17 hours | this entry (7–0) |
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 0 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 27 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.
Across the whole group of 4, the earliest publisher we hold is @CJXW1. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, 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.
This channel’s posts match, word for word or near enough, posts on 3 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Sept 2026, 11:38 | 56,716 | +135 |
| 3 Sept 2026, 00:07 | 56,581 | -20 |
| 2 Sept 2026, 00:14 | 56,601 | -38 |
| 1 Sept 2026, 03:08 | 56,639 | +157 |
| 31 Aug 2026, 04:25 | 56,482 | +357 |
| 30 Aug 2026, 03:05 | 56,125 | +339 |
| 29 Aug 2026, 06:12 | 55,786 | +14 |
| 28 Aug 2026, 08:54 | 55,772 | -629 |
| 27 Aug 2026, 09:26 | 56,401 | +517 |
| 26 Aug 2026, 07:56 | 55,884 | +802 |
| 25 Aug 2026, 07:03 | 55,082 | -502 |
| 24 Aug 2026, 05:34 | 55,584 | +354 |
| 22 Aug 2026, 11:56 | 55,230 | +708 |
| 21 Aug 2026, 00:28 | 54,522 | -197 |
| 19 Aug 2026, 21:37 | 54,719 | -96 |
| 18 Aug 2026, 21:22 | 54,815 | +599 |
| 17 Aug 2026, 23:25 | 54,216 | -149 |
| 16 Aug 2026, 21:58 | 54,365 | +475 |
| 15 Aug 2026, 13:42 | 53,890 | -289 |
| 14 Aug 2026, 04:06 | 54,179 | first reading |
496 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 64 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 2 of 480 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 September 2026 |
|---|---|
| Posts held | 496 (6 August 2026 – 5 September 2026) |
| Views total | 714,941 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Sept 2026, 08:00 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 6 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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1 | 100.0% |
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 2 of the 496 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 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 496 most recent posts we hold, published 6 August 2026 to 5 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.
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花旗将美联储降息预测推迟至2027年6月，就业市场表现强劲 花旗近日将美联储恢复降息的预测时间从2026年10月推迟至2027年6月，放弃此前2026年10月、12月及2027年1月的降息路径，现预计2027年6月、9月和12月各降息25个基点。调整源于9月4日公布的8月就业报告——新增就业16.2万个，远超经济学家预期的约5.6万个，失业率持稳于4.1%，劳动参与率回升，劳动力市场保持稳定，消除了花旗此前基于失业率显著上升预期的降息依据。 不过花旗认为，核心通胀、薪资增速及核心CPI降温趋势仍为鸽派转向提供空间，预计核心CPI环比上涨0.18%，支持美联储在9月15日至16日会议上维持利率不变。同时预期核心PCE通胀数据将大幅下修，或促使美联储在经济预测中作出鸽派调整。 就业数据公布后，联邦基金期货显示9月加息25个基点概率升至61%，高于此前的52%。市场目光正聚焦下周通胀数据——经济学家预计8月CPI环比涨0.4%、…
上半年城市更新税费优惠达4870亿 住房保障与绿色基建成重点 国家税务总局发布的最新税收数据显示，2026年上半年，各项支持城市更新的税费优惠政策累计减税降费及退税共计4870亿元。 其中，为满足群众刚性和改善性住房需求，对公共租赁住房免征增值税及契税，延续居民换购住房个人所得税优惠等政策，合计减税降费及退税2098亿元。同时，延续实施养老、托育、家政等社区家庭服务业税费优惠，助力提升城市公共服务水平。 在城市基础设施更新改造方面，对企业投资公共基础设施项目给予企业所得税优惠，交通系统运营用地免征城市土地税。此外，对城市公交企业购置公共汽电车辆免征车辆购置税，对企业购置节能环保专用设备落实税费优惠，支持绿色低碳城市建设。上述举措合计减税降费及退税1684亿元，有力推动了城市功能完善与可持续发展。
中信股份携五家子公司首登上交所 中期净利润708亿增18.3% 2026年9月4日下午，中信股份联合旗下中信银行、中信证券、中信特钢、中信金属共五家上市公司，首次集体亮相上海证券交易所上证路演大厅，召开2026年中期业绩联合发布会。 2026年上半年，中信股份实现收入4088亿元，同比增长10.7%；净利润708亿元，同比增长18.3%；归母净利润338亿元，同比增长8.1%。董事会建议派发中期股息每股0.21元，分红总额约61.09亿元，同比提高5%。上半年股价盘中最高触及13.9港元，创近十年新高，穆迪评级展望上调至“正面”，明晟ESG评级提升至AA级。 子公司表现突出：中信银行营收1094亿元、归母净利润376亿元，均增3.1%；中信证券营收497亿元、归母净利润233亿元，同比分别增长50%和69.6%，创中期利润历史新高；中信特钢归母净利润29.9亿元，同比增长6.9%；中信金属营收869亿元、归母净利润26.7…
重庆出台16条措施鼓励外资再投资 重点引导投向先进制造业 近日，重庆市发改委印发《重庆市鼓励外商投资企业境内再投资若干措施》，按照内外资一致原则，从引导外资投向、便利投资经营、提升保障水平三个维度推出16条政策举措。 《措施》明确，鼓励外资参与重庆市“33618”现代制造业集群体系建设，重点投向智能网联新能源汽车、新一代电子信息制造业、先进材料等产业赛道，推动产业链强链补链延链扩链。同时，贯彻落实制造业领域外资准入限制措施“全面清零”，对符合条件的外资境内再投资制造业项目，按内外资一致原则同等享受市级重点产业项目要素保障与各类扶持政策。 此外，《措施》提出探索合格境外有限合伙人（QFLP）试点，支持境外资本与重庆开展股权投资和创投基金合作，进一步扩大在渝投资规模，持续提升外资利用水平与产业升级动能。
中电科安违规挪用募集资金逾千万 北京证监局出具警示函 北京证监局近日对中电科安科技股份有限公司采取出具警示函的行政监管措施，并记入证券期货市场诚信档案。 经查，该公司在募集资金存放及使用方面存在不规范问题，相关内部管理不到位。2025年9月，其子公司安徽科安电气设备有限公司将23.5万元从募集资金专项账户转至公司其他银行账户存放。2026年2月，科安电气再度将1060万元从募集资金专户转出，用于偿还银行借款等用途，涉及金额较大。 北京证监局在监管决定中指出，上述行为违反募集资金管理相关规定，决定对公司采取出具警示函措施，并要求其引以为戒，深刻反思，积极落实有效风险防控措施，杜绝此类问题再次发生。此次监管行动进一步凸显监管部门对上市公司募集资金合规使用的持续关注与严格约束。
Showing the 12 most recent of 496 posts we hold for @CCTV_Finance. 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.
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 4 September 2026 — this entry's latest reading, not the date you are reading this.
“新闻财经-东南亚” (@CCTV_Finance), 56,716 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/CCTV_Finance.
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.