【🚀 傳統金融|亞洲金融風暴重演?匯豐示警三大相似訊號,經濟學家:這次弱點不一樣】 #亞洲金融風暴 #美債殖利率 #日圓貶值 匯豐紐曼警告,目前美債殖利率走高與科技熱潮,與1997年亞洲金融風暴相似。 10年期美債殖利率升至4.79%,日圓兩年貶約57%。亞洲已成資本輸出國,真正風險是對美國AI硬體的依賴。 📍閱讀全文: https://abmedia.io/asia-financial-crisis-hsbc-signals 📍 訂閱鏈新聞頻道:https://linktr.ee/abmedia.io

Channel
NEWS 鏈新聞-ABMedia
@abmedia_news
On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
18,919subscribers
-199 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001380566582 |
|---|---|
| Type | Channel |
| Username | @abmedia_news |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 31 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/abmedia_news |
Topic
National news — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 50% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 07:38 | 18,919 | -3 |
| 13 Sept 2026, 17:41 | 18,922 | -15 |
| 11 Sept 2026, 22:19 | 18,937 | -6 |
| 9 Sept 2026, 15:55 | 18,943 | -29 |
| 6 Sept 2026, 08:39 | 18,972 | -6 |
| 4 Sept 2026, 03:16 | 18,978 | -1 |
| 2 Sept 2026, 13:37 | 18,979 | -9 |
| 1 Sept 2026, 15:24 | 18,988 | -6 |
| 31 Aug 2026, 15:25 | 18,994 | -7 |
| 30 Aug 2026, 17:13 | 19,001 | -2 |
| 29 Aug 2026, 15:34 | 19,003 | -4 |
| 28 Aug 2026, 17:42 | 19,007 | -1 |
| 27 Aug 2026, 14:45 | 19,008 | -9 |
| 26 Aug 2026, 12:04 | 19,017 | -11 |
| 25 Aug 2026, 10:52 | 19,028 | -10 |
| 24 Aug 2026, 12:14 | 19,038 | -10 |
| 22 Aug 2026, 21:54 | 19,048 | -2 |
| 21 Aug 2026, 13:05 | 19,050 | -1 |
| 20 Aug 2026, 13:47 | 19,051 | -1 |
| 19 Aug 2026, 17:12 | 19,052 | first reading |
Engagement
537 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 56 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.56%
- avg views ÷ 18,919 subscribers
- Avg views / post
- 295
- 211 posts measured
- Reaction rate
- 0.272%
- reactions ÷ views · ER floor
- Posts in window
- 211
- of 537 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 15 of 211 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 537 (6 August 2026 – 3 September 2026) |
| Views total | 62,276 |
| Reactions total | 12 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 02:00 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.
Reaction mix
41 reactions across 39 posts, in 6 distinct kinds. The most used accounts for 75.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 31 | 75.6% | |
| 👍 | 6 | 14.6% | |
| 🔥 | 1 | 2.44% | |
| 😁 | 1 | 2.44% | |
| 😢 | 1 | 2.44% | |
| 🤔 | 1 | 2.44% |
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 49 of the 537 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 41 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 537 most recent posts we hold, published 6 August 2026 to 3 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
【🚀 傳統金融|日圓急升至 158,日本加速升息預期牽動外匯市場神經】 #USDJPY #外匯干預 #日本央行 週三日本央行高田創表示連續升息具備可能性,帶動日圓觸及 158.22。 對比上個月財務省投入 964 億美元干預,本次漲幅缺乏官方干預跡象。後續走勢將取決於 9 月會議能否落實利率正常化。 📍閱讀全文: https://abmedia.io/usdjpy-move-to-158-focus-on-boj-rate-hike 📍 訂閱鏈新聞頻道:https://linktr.ee/abmedia.io
【₿ 比特幣|日本 Remixpoint 清空 ETH、XRP 等山寨幣,全押比特幣】 出清 ETH/SOL/XRP/DOGE 約 550 萬美元、小賺出場,唯一加密持倉剩約 1,506 枚比特幣。 #Remixpoint #比特幣 #企業財庫 📍閱讀全文: https://abmedia.io/remixpoint-sells-altcoins-bitcoin-only
【📜 政策|Kalshi 停權共和黨眾議員參選人 3 年:押注自己勝選】 北卡參選人 Buckhout 買不到千美元的自家選情合約,被認定屬「直接決策者」構成內線,須繳 2,589.96 美元罰款。 #Kalshi #預測市場 #內線交易 📍閱讀全文: https://abmedia.io/kalshi-suspends-buckhout-betting-own-race
【🪙 穩定幣|泰國商人告 Tether:搜查令前就凍結 4,240 萬 USDT】 原告指 Tether 依 HSI「非正式請求」、在無令狀下凍結十個地址逾 4,240 萬 USDT,主張侵占與不當得利。 #Tether #USDT #穩定幣 📍閱讀全文: https://abmedia.io/tether-sued-usdt-freeze-warrant
【🚀 傳統金融|21 家國際大行合組穩定幣公司,美銀、高盛、UBS 加入】 #GENIUS法案 #穩定幣 #銀行 21家頂尖金融機構於9月2日宣布合組新公司發行穩定幣。 該幣初期以美元計價,預計2027年上半年投入批發與零售市場。此舉有別於現有的USDT等發行商,宣告傳統銀行正式進場。 📍閱讀全文: https://abmedia.io/21-global-banks-stablecoin-consortium 📍 訂閱鏈新聞頻道:https://linktr.ee/abmedia.io
【💰 交易市場|Kalshi、Polymarket 8 月交易量減 14.5%,一年首見回落】 #Kalshi #Polymarket #預測市場 The Block 的數據指出,8 月整體預測市場出現第一個降溫訊號。隨著夏季世界盃結束,Kalshi 與 Polymarket 合計額跌至 453.3 億美元。 不過 Kalshi 簽下美國網球公開賽,擴張並未停下。 📍閱讀全文: https://abmedia.io/kalshi-polymarket-august-volume-decline 📍 訂閱鏈新聞頻道:https://linktr.ee/abmedia.io
【📜 政策監理|G20 財金首長:數位資產可支持成長,將建監理「明確路徑」】 #G20 #數位資產 #穩定幣 G20 財政部長與央行總裁於 9 月 1 日發表聲明,承諾為數位金融建立明確監理框架。 官員期待 FSB 研究穩定幣跨境影響,並要求延長大額支付系統營運時間。成員國不再將其視為單純風險,轉向納管並鼓勵創新。 📍閱讀全文: https://abmedia.io/g20-digital-assets-clear-pathways 📍 訂閱鏈新聞頻道:https://linktr.ee/abmedia.io
【🤖 AI 人工智慧|OpenAI:新模型 Astra 可自主找漏洞並發動網路攻擊】 #AI資安 #Astra #OpenAI OpenAI 於 9 月 1 日公告指出,新模型 Astra 首跨關鍵網路安全門檻。其具備挖掘零日漏洞能力,落入準備框架最進階類別—關鍵。 此進階功能採嚴格限制,僅開放 Daybreak 聯盟。 📍閱讀全文: https://abmedia.io/openai-astra-autonomous-cyberattacks 📍 訂閱鏈新聞頻道:https://linktr.ee/abmedia.io
【🤖 AI 人工智慧|玻璃基板是什麼?三大優勢、瓶頸、上下游供應鏈名單全解析】 #AI #玻璃基板 #TSMC台積電 財報狗分析,封裝尺寸暴增引發翹曲,使玻璃基板成近年關鍵材料。 三星電機鎖定2027年商用,放量則看台積電2028年底導入CoWoS。TGV鑽孔競爭雖白熱化,高階市場最終或由載板龍頭主導。 📍閱讀全文: https://abmedia.io/glass-substrate-outlook-and-competitive-landscape 📍 訂閱鏈新聞頻道:https://linktr.ee/abmedia.io
【🤖 AI 人工智慧|Claude Fable 5.1 發表:編碼升級,快取讀取降 75%】 #AI模型 #Anthropic #Claude Anthropic 於 9 月 1 日推出 Fable 5.1,稱其為最先進的程式開發模型。 官方指其效能勝過 GPT-5.6 Sol,且快取讀取價格降幅達 75%。但輸入與輸出 token 仍維持前代原價。 📍閱讀全文: https://abmedia.io/claude-fable-5-1-mythos-5-1-release 📍 訂閱鏈新聞頻道:https://linktr.ee/abmedia.io
【🚀贊助文章|Ourbit SuperCEX 寰宇之輪第3季 · 神諭祕境,總獎池達 300 萬 USDT】 #Ourbit 📍閱讀全文: https://abmedia.io/ourbit-supercex-3million-usdt 📍 訂閱鏈新聞頻道:https://linktr.ee/abmedia.io
Showing the 12 most recent of 537 posts we hold for @abmedia_news. 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
@abmedia_news edited 2 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
- 8 August 2026
- Most recent edit
- 8 August 2026
Forward network
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.
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.
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.
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.
@Gooaye · 105,832
Telegram ranks this channel #1 of 80 here — alongside 79 others — read 30 August 2026
@blocktemponews · 39,179
Telegram ranks this channel #1 of 87 here — alongside 86 others — read 30 August 2026
@reporter_Taiwan · 59,192
Telegram ranks this channel #16 of 38 here — alongside 37 others — read 30 August 2026
@OKXAnnouncements_CN · 44,940
Telegram ranks this channel #29 of 88 here — alongside 87 others — read 28 August 2026
@jinse2017 · 22,784
Telegram ranks this channel #31 of 60 here — alongside 59 others — read 20 September 2026
@johnstock888 · 49,716
Telegram ranks this channel #35 of 70 here — alongside 69 others — read 30 August 2026
@a178178 · 61,590
Telegram ranks this channel #35 of 40 here — alongside 39 others — read 30 August 2026
@Coindesk001 · 53,782
Telegram ranks this channel #45 of 57 here — alongside 56 others — read 22 August 2026
@theblockbeats · 37,492
Telegram ranks this channel #48 of 92 here — alongside 91 others — read 1 September 2026
@binance_cn · 34,158
Telegram ranks this channel #53 of 84 here — alongside 83 others — read 3 September 2026
@toncoin_cn · 141,084
Telegram ranks this channel #53 of 87 here — alongside 86 others — read 17 August 2026
@BTCdayu2 · 30,094
Telegram ranks this channel #57 of 85 here — alongside 84 others — read 8 September 2026
@ChannelPANews · 24,042
Telegram ranks this channel #59 of 96 here — alongside 95 others — read 17 September 2026
@DeJob_official · 46,726
Telegram ranks this channel #66 of 94 here — alongside 93 others — read 27 August 2026
@bitebishuqin · 40,412
Telegram ranks this channel #82 of 90 here — alongside 89 others — read 30 August 2026
This channel appears in 15 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“NEWS 鏈新聞-ABMedia” (@abmedia_news), 18,919 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/abmedia_news.
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.