Channel
@Financial_Express
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
37,288subscribers
+333 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001375475051 |
|---|---|
| Type | Channel |
| Username | @Financial_Express |
| Description | 附属群组 @Financial_Express_Chat 财经慢报是 TG 简中最大的泛财经类资讯新闻频道，实时覆盖大宗外汇全球股票区块链等市场，内容真实中立客观。 部分内容按原文摘自墙内财经媒体并附来源，不代表本频道立场，请客观谨慎看待相关内容，谨防钓鱼误导。部分刷屏内容为现场零延迟文字转录，推送频繁敬请谅解。 |
| Created | 2 September 2018 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 22 August 2026 |
| On Telegram | t.me/Financial_Express |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 13:26 | 37,288 | +41 |
| 21 Aug 2026, 00:53 | 37,247 | +13 |
| 20 Aug 2026, 02:12 | 37,234 | +46 |
| 18 Aug 2026, 22:49 | 37,188 | +5 |
| 17 Aug 2026, 19:14 | 37,183 | -8 |
| 16 Aug 2026, 17:08 | 37,191 | +17 |
| 15 Aug 2026, 00:45 | 37,174 | +5 |
| 12 Aug 2026, 16:04 | 37,169 | +30 |
| 11 Aug 2026, 17:02 | 37,139 | +36 |
| 10 Aug 2026, 14:51 | 37,103 | +43 |
| 9 Aug 2026, 12:01 | 37,060 | +67 |
| 8 Aug 2026, 12:47 | 36,993 | +3 |
| 7 Aug 2026, 13:37 | 36,990 | +24 |
| 6 Aug 2026, 10:51 | 36,966 | +11 |
| 6 Aug 2026, 07:01 | 36,955 | first reading |
660 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 35 pagesof 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 21 of 660 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 21 August 2026 |
|---|---|
| Posts held | 660 (6 August 2026 – 21 August 2026) |
| Views total | 63,020 |
| Reactions total | 27 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Aug 2026, 16:18 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 22 August 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.
27 reactions across 16 posts, in 8 distinct kinds. The most used accounts for 44.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 12 | 44.4% | |
| 🤔 | 6 | 22.2% | |
| 🤣 | 3 | 11.1% | |
| 😢 | 2 | 7.41% | |
| 👍 | 1 | 3.70% | |
| 👎 | 1 | 3.70% | |
| 🤬 | 1 | 3.70% | |
| 🥱 | 1 | 3.70% |
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 21 of the 660 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 27reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 660 most recent posts we hold, published 6 August 2026 to 21 August 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.
LME 锌显现供应紧张 价格冲击四年高点 就在铜市场短期供应紧张引发伦敦金属交易所（LME）剧烈交易的短短数日后，锌市场已显现供应趋紧信号。周四，锌现货较三个月期货的价差最高扩大至每吨 132.37 美元，为本年最大价差；这种现货升水的反向市场结构，表明供应趋于紧张。周五，锌基准价格上涨 0.9%，有望创下四年以来最高收盘水平。锌价走强发生在铜逼仓行情之后。此前，LME 关键交割日前的现货铜紧缺，推动价差与价格大幅冲高。近期，大量金属入库 LME 指定仓库，铜的紧张局面已有所缓解。
🤔6😢2👎1🤬1
日本三大车商 7 月在华新车销量均同比下滑，日产暴跌近 6 成 8 月 20 日，日本三大车商 7 月在华新车销量全部出炉，日产汽车销量同比暴跌 58.7%至 23677 辆；丰田销量同比减少 24.3%至 11.47 万辆。本田销量同比减少 44.1%至 25052 辆。今年前 7 个月，日产累计在华新车销量为 26.11 万辆，同比减少 22%；丰田累计销量 80.94 万辆，同比减少 18%；本田累计销量 23.87 万辆，同比减少 36%。
韩国芯片板块上涨 股东回报计划提振股市收高 受市场对韩国两大头部芯片企业 —— 三星电子与 SK 海力士大规模股东回报计划的良好预期推动，首尔股市周五收盘走高；韩元兑美元同步升值。韩国综合股价指数（KOSPI）收盘上涨 60.37 点，涨幅 0.88%，报 6912.95 点，盘中最高触及 6954.12 点。散户与外资均为净卖出，合计净抛售 1.34 万亿韩元；机构投资者则净买入 2482 亿韩元。大信证券分析师李庆敏表示：“SK 海力士与三星电子推出的股东回报计划为本国股市提供支撑，盖过了外部各类不确定性带来的负面影响。”SK 海力士于周三公布股东回报方案，计划回购价值约 40 万亿韩元的普通股。市值龙头三星电子也预计将于当日晚些时候公布规模最高达 110 万亿韩元的股东回报方案。三星电子上涨 3.87%，报 281500 韩元；同业对手 SK 海力士上涨 2.31%，报 1730000 韩元。
阿拉伯航空：自 2026 年 12 月 17 日起，开通沙迦出发每周四班直飞航班。
中保协印发《车险承保理赔实务指南（2026 版）》 中国保险行业协会近日正式印发《车险承保理赔实务指南（2026 版）》。 为此，中保协牵头组建专项工作组，通过多轮调研、广泛征集行业意见，完成本次《指南》修订工作。本次修订严格落实国家金融监督管理总局关于规范车险经营、强化消费者权益保护的相关要求，结合近年行业经营数据、典型投诉纠纷案例与监管工作要求开展系统研究，坚持以保护保险消费者合法权益为核心，聚焦行业实操痛点，保障消费者知情权、自主选择权和公平交易权，明确人身损害赔偿流程标准，健全矛盾纠纷化解路径，进一步规范基层操作。
❤1
法国 8 月商业活动萎缩幅度超预期，服务业受高温拖累 金十数据 8 月 21 日讯，标普全球周五公布的调查显示，法国 8 月服务业初值 PMI 降至 48.4，为两个月低点，低于 7 月的 49.6，商业活动萎缩幅度超过预期，近期持续高温天气拖累了该国占主导地位的服务业。法国 8 月服务业 PMI 也低于市场预期的 49.8。与此同时，法国 8 月制造业 PMI 初值从 7 月的 49.8 升至 51.5，超过预期的 50。但综合 PMI 初值（涵盖服务业和制造业）从 7 月的 49.4 降至 48.8，创两个月新低，低于预期的 49.5。标普全球市场情报高级首席经济学家乔·海耶斯表示：“8 月初值 PMI 报告显示，法国经济状况连续第二个月疲弱。一些企业，尤其是服务业企业，指出极端高温天气是导致活动和需求下降的原因之一。”
❤1
印度清洁能源部门官员：目标到 2030 年实现 30 吉瓦多晶硅产能。
财政部：将继续发力支持乡村振兴和农业农村现代化 目前，中央财政将衔接推进乡村振兴补助资金调整为常态化帮扶资金，在今天国新办举行的“开局起步‘十五五’”系列主题新闻发布会上，财政部有关负责人表示，将继续发力支持推进乡村全面振兴和农业农村现代化。财政部综合司司长李先忠表示：防止规模性返贫致贫是一项长期任务，今年是常态化帮扶的第一年，中央财政继续保持投入强度，已安排下达 1770 亿元。截至 6 月底，脱贫劳动力就业规模超过 3200 万人，脱贫县农村居民人均可支配收入的增速继续跑赢全国农村平均水平。（央视新闻）
❤1
上海市商务委：支持临港进一步优化“走出去”和“引进来”双向投资服务 金十数据 8 月 21 日讯，上海市商务委副主任陈昊 8 月 21 日在上海市政府新闻发布会上表示，“十五五”时期是临港新片区转段跃升、特色成势的关键期，上海市商务委将支持临港进一步优化“走出去”和“引进来”双向投资服务。做强临港出海服务品牌，实现产业与服务精准匹配。聚焦区内重点产业，依托上海市企业出海综合服务平台和临港分平台，整合出海服务资源，加快引进一批优质服务机构，吸引更多出海企业在临港新片区设立总部。同时，支持临港进一步完善跨境金融、跨境贸易、离岸贸易创新供给，营造更加公平、透明、可预期的投资环境，招引一批标志性外资项目，以高质量项目推动产业动能的跃升。
恺英网络成立网络科技公司 含多项 AI 相关业务 企查查 APP 显示，近日，上海盛境涌现网络科技有限公司成立，法定代表人为杨吴月，注册资本为 1000 万元，经营范围包含：人工智能应用软件开发；人工智能基础软件开发；网络与信息安全软件开发；数字文化创意软件开发等。企查查股权穿透显示，该公司由恺英网络旗下上海恺盛网络科技有限公司及上饶盛英网络科技有限公司共同持股。
上海市商务委：支持临港进一步优化“走出去”和“引进来”双向投资服务 上海市商务委副主任陈昊 8 月 21 日在上海市政府新闻发布会上表示，“十五五”时期是临港新片区转段跃升、特色成势的关键期，上海市商务委将从三个方面进一步支持临港新片区厚植竞争优势、实现更高质量发展。 第一，支持临港持续培育外贸新业态、新优势。支持临港新片区深化离岸贸易金融服务综合改革，加大离岸贸易主体招引力度，吸引更多跨国公司产品分销中心、大宗商品贸易商和全球生产性企业等在临港新片区设立离岸业务专营公司，深度参与全球性生产、销售、服务等活动，持续做大离岸贸易规模。鼓励临港新片区创新激活保税维修、保税检测和保税培训等保税业态新动能，壮大多元保税特色产业，提升保税加工制造业务规模能级，特别是围绕汽车、航空等产业打造保税维修产业高地。 第二，支持临港进一步优化“走出去”和“引进来”双向投资服务。做强临港出海服务品牌，实现产业与服务精准匹配。聚焦区内重点产业，依托上…
三菱汽车因导航系统故障在日本召回 1.3 万辆欧蓝德 PHEV 三菱汽车 8 月 20 日向日本国土交通省提交报告称，因导航系统控制程序存在故障、车内屏幕无法正常显示倒车时等的摄像头画面，将召回 13226 辆 2024 年 10 月至 2026 年 2 月生产的欧蓝德 PHEV。日本国交省称，屏幕可能会黑屏或卡住导致无法显示摄像头画面，因此可能不符合安全标准。
Showing the 12 most recent of 660 posts we hold for @Financial_Express. 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.
Citation-graph rank — 92,095 of 1,584,142entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 4 registered channels — 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.
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 8 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 22 August 2026 — this entry's latest reading, not the date you are reading this.
“财经慢报” (@Financial_Express), 37,288 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/Financial_Express.
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.