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Channel

MacroMicro 財經M平方

@MacroMicro_tw

On this record: Growth · Engagement · Posts · Telegram's recommendations · Cite this entry

5,765subscribers

+41 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001398126341
TypeChannel
Username@MacroMicro_tw
CreatedBetween 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live1 September 2026
Measurements held10
Confirmed unchanged1 time, most recently 1 September 2026
On Telegramt.me/MacroMicro_tw

Growth

5,7245,7655,744.56 August 2026 — 5,724 subscribers6 August 2026 — 5,724 subscribers7 August 2026 — 5,726 subscribers12 August 2026 — 5,732 subscribers16 August 2026 — 5,743 subscribers19 August 2026 — 5,751 subscribers23 August 2026 — 5,755 subscribers26 August 2026 — 5,759 subscribers29 August 2026 — 5,761 subscribers1 September 2026 — 5,765 subscribers6 August 20261 September 2026
10 measurements spanning 25 days, net +41. 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 5,718–5,771 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
1 Sept 2026, 08:345,765+4
29 Aug 2026, 00:275,761+2
26 Aug 2026, 08:475,759+4
23 Aug 2026, 08:325,755+4
19 Aug 2026, 22:345,751+8
16 Aug 2026, 17:185,743+11
12 Aug 2026, 17:365,732+6
7 Aug 2026, 02:355,726+2
6 Aug 2026, 21:005,724no change
6 Aug 2026, 20:575,724first reading

Engagement

43 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.5%
avg views ÷ 5,765 subscribers
Avg views / post
603
39 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
39
of 43 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held43 (3 August 202612 August 2026)
Views total23,521
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:56 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.

Recent posts

12 Aug 2026, 00:33 UTC259 viewsread 12 August 2026
Photo

【MM短評】 📎大家早安!昨日行情重點如下: 美國7月NFIB小型企業樂觀指數升至99.8,創去年8月以來新高,顯示企業信心改善;然而,ADP週平均民間就業人數連續六週放緩至8,250人,為今年1月以來最低。7月成屋銷售雖優於預期達406萬戶,但增速為4月以來最緩,中位房價年增2.0%至434,100美元。聯準會官員持續關注通膨,芝加哥聯準會總裁古爾斯比強調通膨仍是當前經濟最大問題,市場正密切等待即將公布的CPI與PPI數據。地緣政治方面,伊朗重申若條件未獲滿足,荷姆茲海峽將持續關閉,加劇市場不確定性。 👉進入網站看完整 #MM每日 AI 行情摘要:https://pse.is/55tpgt

11 Aug 2026, 23:05 UTC317 viewsread 12 August 2026

⚠️行情警示 德國-DAX 26391.42 (1990-11-26 以來最高) 巴西-Bovespa index 167874.64 (2026-01-21 以來最低)

11 Aug 2026, 05:06 UTC519 viewsread 12 August 2026

澳洲-基準利率 2026 Aug:4.35 % (前:4.35 %) 查看連結

10 Aug 2026, 23:05 UTC581 viewsread 12 August 2026

⚠️行情警示 中國-10年期公債殖利率 1.7 (2025-08-08 以來最低) 德國-DAX 26323.88 (1990-11-26 以來最高) 法國-CAC 40 8726.03 (1990-03-01 以來最高)

10 Aug 2026, 05:09 UTC654 viewsread 12 August 2026

中國-進口總值 (美元計, 年增率) 2026 Jul:27.5 % (前:36.0 %) 查看圖表

10 Aug 2026, 05:08 UTC641 viewsread 12 August 2026

中國-出口總值(美元計,年增率) 2026 Jul:23.9 % (前:27.0 %) 查看圖表

10 Aug 2026, 01:23 UTC654 viewsread 12 August 2026

中國-工業生產者出廠價格[PPI] (年增率) 2026 Jul:3.5 % (前:4.1 %) 查看圖表

9 Aug 2026, 23:33 UTC673 viewsread 12 August 2026
Photo

【MM一週盤前】非農意外衰退、升息預期降溫,本週聚焦美國 CPI! 🟡上週市場行情 美伊再度針對荷姆茲海峽啟動臨時協議談判,疊加週五非農數據低於預期降低聯準會升息機率,十年期美債殖利率、美元指數、油價同步下跌,金價大漲超過 7%,全球股市也明顯反彈回升。美股三大股指上漲 3% ~ 5% 不等,其中 S&P 500 創下歷史新高,費半指數則大幅反彈 9.2%,帶動台股站回 44,000 點,其餘歐亞股市也同步回穩,唯獨南韓股市仍震盪下跌 -5.1%。 🟡上週大事回顧 【美國】 7 月非農意外減少 -2.3 萬人,升息預期有所降溫! 【台灣】 7 月出口年增 32.9% 低於預期,關注下半年出貨動向 【全球】美台 7 月製造業 PMI 持續上升,MM 製造業週期指數創 5 年新高 🔴研究員都在看 【產業】最完整的 AI 供應鏈拆解:掌握劇烈波動下的關鍵風險! 🟠本週關注重點 美國 CPI(8/12) EIA 短期能源展望報告

9 Aug 2026, 02:20 UTC750 viewsread 12 August 2026

中國-消費者物價指數[CPI] (年增率) 2026 Jul:0.5 % (前:1.0 %) 查看圖表

Showing the 12 most recent of 43 posts we hold for @MacroMicro_tw. 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.

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 股癌
@Gooaye · 105,971
Telegram ranks this channel #18 of 80 here — alongside 79 others — read 30 August 2026
林睿閎證券分析師-John
@johnstock888 · 49,239
Telegram ranks this channel #33 of 70 here — alongside 69 others — read 30 August 2026
動區動趨 BlockTempo⚡️區塊鏈 加密貨幣新聞
@blocktemponews · 39,570
Telegram ranks this channel #58 of 87 here — alongside 86 others — read 30 August 2026

This channel appears in 3 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 1 September 2026 — this entry's latest reading, not the date you are reading this.

“MacroMicro 財經M平方” (@MacroMicro_tw), 5,765 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/MacroMicro_tw.

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.