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Channel

新闻财经-东南亚

@CCTV_Finance

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

59,407subscribers

+6,659 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002151477953
TypeChannel
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
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/CCTV_Finance

Topic

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.

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. 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)
Posted firstThenOverlapGap
@CCTV_Finance/21133 · this entry6 Aug 2026, 13:29 UTC@CJXW1/98697 Aug 2026, 13:02 UTC1.0024 hours
@CCTV_Finance/21134 · this entry6 Aug 2026, 16:03 UTC@CJXW1/98717 Aug 2026, 13:02 UTC1.0021 hours
@CCTV_Finance/21139 · this entry6 Aug 2026, 17:36 UTC@CJXW1/98727 Aug 2026, 13:03 UTC1.0019 hours
@CCTV_Finance/21140 · this entry6 Aug 2026, 18:22 UTC@CJXW1/98737 Aug 2026, 13:03 UTC1.0019 hours
@CCTV_Finance/21146 · this entry6 Aug 2026, 19:30 UTC@CJXW1/98747 Aug 2026, 13:04 UTC1.0018 hours
@CCTV_Finance/21148 · this entry6 Aug 2026, 20:38 UTC@CJXW1/98767 Aug 2026, 13:05 UTC1.0016 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@CJXW18 (8/8 hand-verifiable sample passed)1.0018 hoursthis entry (8–0)
@CJXW28 (8/8 hand-verifiable sample passed)1.0018 hoursthis entry (8–0)
@gj9337 (7/7 hand-verifiable sample passed)1.0017 hoursthis 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.

  • 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 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.

Also posting the same content

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.

Growth

52,66659,40756,036.56 August 2026 — 52,748 subscribers6 August 2026 — 52,748 subscribers7 August 2026 — 52,666 subscribers8 August 2026 — 53,029 subscribers9 August 2026 — 53,601 subscribers10 August 2026 — 52,733 subscribers11 August 2026 — 53,149 subscribers12 August 2026 — 53,881 subscribers14 August 2026 — 54,179 subscribers15 August 2026 — 53,890 subscribers16 August 2026 — 54,365 subscribers17 August 2026 — 54,216 subscribers18 August 2026 — 54,815 subscribers19 August 2026 — 54,719 subscribers21 August 2026 — 54,522 subscribers22 August 2026 — 55,230 subscribers24 August 2026 — 55,584 subscribers25 August 2026 — 55,082 subscribers26 August 2026 — 55,884 subscribers27 August 2026 — 56,401 subscribers28 August 2026 — 55,772 subscribers29 August 2026 — 55,786 subscribers30 August 2026 — 56,125 subscribers31 August 2026 — 56,482 subscribers1 September 2026 — 56,639 subscribers2 September 2026 — 56,601 subscribers3 September 2026 — 56,581 subscribers4 September 2026 — 56,716 subscribers7 September 2026 — 57,183 subscribers10 September 2026 — 57,830 subscribers12 September 2026 — 59,024 subscribers14 September 2026 — 58,487 subscribers15 September 2026 — 59,200 subscribers17 September 2026 — 59,407 subscribers6 August 202617 September 2026
34 measurements spanning 42 days, net +6,659. 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 51,655–60,418 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
17 Sept 2026, 18:3959,407+207
15 Sept 2026, 17:3759,200+713
14 Sept 2026, 02:1958,487-537
12 Sept 2026, 11:1659,024+1,194
10 Sept 2026, 06:1557,830+647
7 Sept 2026, 02:0057,183+467
4 Sept 2026, 11:3856,716+135
3 Sept 2026, 00:0756,581-20
2 Sept 2026, 00:1456,601-38
1 Sept 2026, 03:0856,639+157
31 Aug 2026, 04:2556,482+357
30 Aug 2026, 03:0556,125+339
29 Aug 2026, 06:1255,786+14
28 Aug 2026, 08:5455,772-629
27 Aug 2026, 09:2656,401+517
26 Aug 2026, 07:5655,884+802
25 Aug 2026, 07:0355,082-502
24 Aug 2026, 05:3455,584+354
22 Aug 2026, 11:5655,230+708
21 Aug 2026, 00:2854,522first reading

Engagement

872 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 108 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.29%
avg views ÷ 59,407 subscribers
Avg views / post
1,360
510 posts measured
Reaction rate
0.078%
reactions ÷ views · ER floor
Posts in window
510
of 872 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 25 of 510 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 27 September 2026
Posts held872 (6 August 2026 – 27 September 2026)
Views total694,338
Reactions total24
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 17:05 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
≈15,600
Videos
≈954
Links
≈9,330

Lifetime counters from Telegram’s own channel header, read 27 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.

Video runtime
52s
Average length
4s

Measured directly from 13 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

25 reactions across 24 posts, in 9 distinct kinds. The most used accounts for 32.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍832.0%
❤520.0%
⚡312.0%
👏312.0%
🤩28.00%
🎉14.00%
😁14.00%
🤡14.00%
🥰14.00%

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 26 of the 872 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 25 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 872 most recent posts we hold, published 6 August 2026 to 27 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.

Recent posts

27 Sept 2026, 16:35 UTC≈1,120 viewsread 27 September 2026
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浙江发布海洋清洁能源发展新规,锚定2030千亿产业目标 近日,浙江省海洋经济发展厅正式发布《浙江省海洋清洁能源产业发展指引》,聚焦海上风电、海上光伏、海洋能、沿海核电四大核心产业,聚力培育海洋领域新质生产力,全方位构建完整的海洋清洁能源产业链与产业集群。 根据规划,浙江力争2030年实现海洋清洁能源及配套装备产业规模突破3000亿元。届时全省海上风电装机容量将超1000万千瓦,建成大型海上风电基地及风电母港等重点工程。同时推动潮流能商业化落地、海上光伏连片开发,壮大绿色氢氨醇新兴产业。 此外,浙江将大力孵化优质市场主体,培育超50家行业领军企业和专精特新企业,全力打造全国海洋清洁能源创新、产业集聚与融合发展标杆高地。

27 Sept 2026, 16:03 UTC≈1,170 viewsread 27 September 2026
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亚投行敲定2030贷款扩容目标,卡塔尔年会开启新十年征程 9月28日至29日,亚投行第十一届理事会年会将在卡塔尔举办,这是亚投行迈入第二个十年后的首次理事会年会。年会前夕,亚投行行长邹加怡接受新华社专访,披露机构全新发展规划。 邹加怡透露,亚投行计划2030年实现年度批准贷款规模翻倍,达到约200亿美元,本次扩容兼顾体量增长与质量升级,将同步创新业务模式与金融产品,提升项目落地实效。她履新后走访近30个成员国,获悉各国亟需基建融资,助力绿色转型、数字基建、交通廊道等领域建设。 她强调,机构发展将坚守影响、创新、诚信三大理念。成立于2016年的亚投行现有111个成员,累计获批项目超400个、融资总额近800亿美元。 今年亚投行发展势头稳健,斩获多项突破,新设专项基金、落地多国新项目。本次卡塔尔年会将明确未来战略方向,深化多边合作、吸纳公私资本赋能全球基建发展。

27 Sept 2026, 11:43 UTC≈1,580 views1 reactionsread 27 September 2026
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央行三季度货币政策例会重磅调整,多项政策信号落地 近日,央行货币政策委员会召开2026年第三季度例会,相较于二季度会议,本次政策表述出现多处关键调整,释放全新宏观调控信号。 本次会议正式删除连续三季度沿用的“跨周期调节”表述,明确重点加大逆周期调节力度,政策重心聚焦短期稳增长,通过强化货币与财政政策协同,对冲经济供强需弱、结构分化、外部冲击等压力,助力经济企稳、物价回升。 同时会议新增“综合运用并适时调整货币政策工具”表述,打破前期稳健基调,将灵活调节市场流动性、优化货币政策操作框架,不排除后续降准降息、扩容结构性工具的可能。 汇率管理方面政策表述全面升级,明确坚持市场主导汇率形成,重点防范外汇市场羊群效应与非理性预期,全力维护人民币汇率平稳运行。多家机构分析表示,本次调整贴合宏观经济形势,政策灵活性与针对性显著提升。

👏1

27 Sept 2026, 10:41 UTC≈1,080 viewsread 27 September 2026
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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_8221904958

27 Sept 2026, 10:41 UTC≈1,300 viewsread 27 September 2026
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中原环保参与设立河南省并购母基金,总规模 150 亿元 9 月 27 日,中原环保发布公告,公司联合多家省内国企及投资主体,共同出资设立河南省并购母基金。参与方包含河南国有资本运营集团(出资占比 29.98%)、河南创新投资集团(出资 20%)、中国平煤神马控股集团、中豫航空集团等多家机构,由河南国有资本运营集团私募基金管理有限公司担任普通合伙人,基金总规模达 150 亿元。 该基金存续期 15 年,自合伙企业成立之日起计算,其中投资期 10 年、退出期 5 年,经全体合伙人会议一致同意,存续期限最多可延长 2 年。基金投资方向参照河南省发改委、省财政厅及相关主管部门制定的《河南省政府投资基金重点投资领域清单》执行。 据了解,这份清单涵盖四大板块合计 78 个细分赛道:新兴支柱产业布局新能源、集成电路、生物医药、低空经济等;未来产业主攻 AI、氢能、量子科技、6G 等前沿方向;传统优势产业推动钢铁、煤炭、农业等领域绿色智能…

27 Sept 2026, 10:06 UTC≈1,120 views1 reactionsread 27 September 2026
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周日比特币站稳 84000 美元上方,三季度行情史上第二佳 周日,比特币价格守住 84000 美元关口。美东时间凌晨 1 点 39 分(北京时间 13:39),比特币报价 84626.50 美元,单日上涨 0.84%。 眼下第三季度即将收官,在旺盛的现货交易和机构需求支撑下,比特币有望录得史上第二佳三季度表现。本季度比特币累计涨幅约 43.5%,自 7 月初约 58500 美元一路上行。该表现仅次于 2017 年三季度约 80% 的涨幅。 同期以太坊本季度涨幅约 71%,有望创下自身有史以来最好的三季度成绩。上周五比特币经历大规模季度期权到期,市场并未出现剧烈震荡。临近 9 月末,现货交易回暖,市场获利了结情绪不强,为币价形成支撑。

⚡1

27 Sept 2026, 09:31 UTC≈1,390 views1 reactionsread 27 September 2026
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德邦基金高管变动:张騄离任,尉迟平代为履职 9 月 27 日消息,德邦基金发布公告,公司总经理、财务负责人张騄因工作调动离任,相关职务由尉迟平代为担任。 尉迟平为女性,目前兼任德邦证券副总经理、德邦基金董事长。她过往任职履历丰富,曾在上海银行总行金融市场部任职,历任债券交易部高级经理助理、高级副经理、高级经理,外汇与贵金属部高级经理,金融市场部见习总经理助理等岗位;之后还在上银基金担任总经理助理、副总经理、总经理。 德邦基金是拥有公募牌照的机构,截至 2026 年上半年末,该公司管理的基金资产净值达到 831.34 亿元。

👏1

27 Sept 2026, 09:30 UTC≈1,260 viewsread 27 September 2026
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26 Sept 2026, 22:54 UTC≈1,660 views1 reactionsread 27 September 2026
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韩国贸易大幅回暖,创230亿美元顺差历史新高 高盛统计数据显示,今年9月前20天,韩国对外贸易迎来强势复苏,贸易顺差飙升至230亿美元,创下历史新高,出口增速较上月显著提速。 受中秋假期前置备货影响,本轮出口行情迎来提振。经季节性调整,韩国单工作日出口量环比提升7.4%,远超上月4.1%的增速;9月前20天出口总额同比上涨14.9%,大幅高于上月同期7.2%的增幅。 品类层面,半导体是出口增长核心支柱,芯片出口同比增长16%,贡献近六成整体出口环比增量。其余科技品类整体微降1%,但跌幅持续收窄,家电、手机的出口增量被电脑出货下滑抵消。非科技领域亮点突出,汽车及零部件出口终结连续两月跌势,大幅反弹60.8%,贡献四分之一出口增量,船舶出口也同步回暖。 出口市场结构呈现差异化增长,对美出口增速高达48.1%,增量占比超五成;对中国台湾、欧盟出口分别增长43.6%、34.7%,合计贡献三成增量;对中国大陆出口仅小幅增长1.2%…

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26 Sept 2026, 22:19 UTC≈2,040 viewsread 27 September 2026
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AI智能体重塑电商业态,高盛看好2.6万亿美国消费市场迁移机遇 高盛最新研报指出,Meta Muse、OpenAI Astra引领的AI智能体商业新模式,正在重塑线上消费全链条,改写广告、商品选购、支付交易及网络安全的价值分配格局。AI智能体可自主帮用户搜品比价、完成下单,行业竞争核心已然转变为抓取消费意愿、落地安全可信交易。 据机构测算,美国适配AI智能体模式的高潜力年度消费规模达2.6万亿美元,叠加中等适配品类合计12.3万亿美元,覆盖六成相关消费支出。目前AI多用于商品检索与比价,实际下单转化率仅16%,行业成长空间充足。标准化低风险品类将率先普及,高端奢侈品等个性化品类落地节奏相对缓慢。相关统计、标的股价参考数据均截至2026年9月23日。 报告总结六大变革路径:消费意图转移推动广告价值流向Meta、谷歌等AI平台;中小商户基建服务商与大型零售商同步受益于开放化商品发现;头部支付机构依托风控与生态优势斩获增量订单;…

26 Sept 2026, 21:43 UTC≈1,600 viewsread 27 September 2026
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德国财政刺激效果分化,国防消费回暖、基建拉动滞后 数据显示,截至今年8月,德国联邦核心预算国防支出近一年同比大增27%。今年1至8月,德国专项国防与投资基金发行规模达365亿欧元,占2026年全年计划总额的62%。资金投放不等于即时落地,多数投资项目仍处于初期阶段,不少工程出现进度延误,大规模经济拉动效应尚需多个季度释放。 财政扶持已显现阶段性成效,自2025年预算去年9月获批后,德国制造业订单稳步回升。电子耐用品海内外订单双向增长,军工大宗订单和政府采购更是直接推高制造业积压订单。 整体政策传导效果不均,消费、国防领域落地高效。基建层面表现偏弱,剔除道路工程后,土木工程订单虽环比增长9.3%,但数据波动较大,暂未体现基建投资加速态势,行业提振力度相对有限。

26 Sept 2026, 21:06 UTC≈1,350 viewsread 27 September 2026
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瑞银上调美光多期业绩预期,存储紧俏格局延续至2028年 瑞银最新研报对美光科技2026、2027、2028财年业绩做出全面上调,维持1625美元目标价与买入评级,同时下调远期市盈率估值至8倍,依托长期LTA协议夯实跨周期盈利底气。 机构上调美光2026财年四季度(8月)营收、EPS及毛利率,各项指标全面高于公司指引与市场均值,并看好2027财年首季盈利、毛利率继续抬升。行业层面,DRAM供不应求格局至少延续至2028年二季度,长江存储产能释放受限,NAND涨价周期得以拉长。 HBM业务景气度持续走高,2027财年产品均价同比预计大涨76%。美光回购禁令将于2026年12月9日解除,机构预判2027财年二季度将启动股份回购。研报同时提示,行业周期波动、技术迭代及需求变化,将带来对应的股价涨跌风险。

Showing the 12 most recent of 872 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.

Mentions

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.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“新闻财经-东南亚” (@CCTV_Finance), 59,407 subscribers as measured 17 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.