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Telegram profile photo for XU trading group

Channel

XU trading group

@RE_trading_group

On this record: Topic · Growth · Engagement · Reactions · Posts · Cite this entry

1,153subscribers

-12 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001712635363
TypeChannel
Username@RE_trading_group
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 October 2026
Measurements held13
Confirmed unchanged1 time, most recently 11 October 2026
On Telegramt.me/RE_trading_group

Topic

Crypto & trading — 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 18 September 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.

Growth

1,1531,1651,1597 August 2026 — 1,165 subscribers7 August 2026 — 1,165 subscribers14 August 2026 — 1,162 subscribers17 August 2026 — 1,161 subscribers21 August 2026 — 1,159 subscribers31 August 2026 — 1,158 subscribers3 September 2026 — 1,165 subscribers9 September 2026 — 1,164 subscribers13 September 2026 — 1,165 subscribers16 September 2026 — 1,163 subscribers25 September 2026 — 1,162 subscribers5 October 2026 — 1,159 subscribers11 October 2026 — 1,153 subscribers7 August 202611 October 2026
13 measurements spanning 64 days, net -12. 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 1,151–1,167 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Oct 2026, 03:571,153-6
5 Oct 2026, 00:181,159-3
25 Sept 2026, 13:201,162-1
16 Sept 2026, 23:401,163-2
13 Sept 2026, 04:181,165+1
9 Sept 2026, 12:011,164-1
3 Sept 2026, 23:001,165+7
31 Aug 2026, 06:141,158-1
21 Aug 2026, 01:531,159-2
17 Aug 2026, 22:021,161-1
14 Aug 2026, 13:151,162-3
7 Aug 2026, 23:331,165no change
7 Aug 2026, 23:121,165first reading

Engagement

15 posts held, back to 3 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 15 posts for this entry, the most recent from 5 February 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

239 reactions across 10 posts, in 18 distinct kinds. The most used accounts for 70.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤16870.3%
💯197.95%
👏114.60%
🤡62.51%
🫡62.51%
✍52.09%
😎52.09%
🤩41.67%
👻31.26%
🐳20.837%
👌20.837%
💊20.837%
👍10.418%
🔥10.418%
😍10.418%
😭10.418%
🤔10.418%
🤪10.418%

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 10 of the 15 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 239 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 3 December 2025 to 5 February 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

5 Feb 2026, 05:07 UTC≈1,340 views70 reactionsread 7 August 2026
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流動性的金絲雀:從 BTC 跌破區間預演美聯儲的「轉向」 在金融市場中,真相往往不在新聞稿裡,而在資產價格的價格發現。 透過 BTC 與聯邦基金利率(FED FUNDS)的時間差對比,我們可能可以稍微推演一下未來。 一、 歷史規律:紫與紅的「先行腳本」 透過長期觀察,我們發現 BTC 價格與美聯儲利率政策之間存在著穩定的「領先與落後」關係。 BTC 總是提前 5 到 11 個月對利率轉折做出反應: * 2019 年: BTC 領先 6 個月起漲,隨後美聯儲啟動預防性降息。 * 2021-2022 年: BTC 領先 5 個月見頂,隨後美聯儲開啟激進加息。 *2023 年: BTC 領先 8 個月在低位爆發,預演了加息的終點。 「紫紅規律」告訴我們: 比特幣往往領先實體數據,可以「發現」未來。 二、 第四組信號:震盪區間的崩解 現在,我們來到了第四組關鍵對比。 BTC 在 2025 年 10 月觸及高點後,進入了 11…

❤61🫡6✍2😍1

16 Jan 2026, 10:24 UTC≈1,360 views14 reactionsread 7 August 2026

有人說圖有點模糊,傳高清版

👏9❤4🔥1

16 Jan 2026, 10:12 UTC≈1,170 views30 reactionsread 7 August 2026
Photo

【G2 宏觀推演】 帝國收縮與紅色供應鏈的崛起:從「美國暫停75國簽證」看資本大遷徙 新聞背後的訊號 媒體報導,美國國務院將從 1 月 21 日起暫停對 75 個國家的簽證辦理。表面理由是「防範公共負擔」,但在 G2(美中博弈)的宏觀框架下,這是一個訊號:美國的戰略收縮正式開始。 (原本只有在2025美國戰略安全報告看到的用詞,現在正式落地) 這是一道行政命令,也是全球資本流動的「分水嶺」。 一、 市場在投票:反常的「匯率升值」 通常,當美國對某國「關門」或制裁時,該國貨幣應該因恐慌而崩盤(貶值)。但這次,我們觀察到了驚人的反身性現象。 根據我們團隊抓取的數據,這 75 個受影響國家(包括資源大國 俄羅斯、巴西、奈及利亞,以及地緣關鍵國 泰國),其貨幣對美元近期呈現集體升值的走勢。 這說明了什麼? 1. 隱性站隊: 市場資直接用錢投票。 這些國家已經被資本市場重新定價,它們不再被視為「美元附庸」,而是被歸類為「中…

❤28👌1👍1

7 Dec 2025, 22:57 UTC≈1,060 views29 reactionsread 7 August 2026
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帝國的黃昏—— 從 1925 倫敦到 2025 華盛頓 我們今天來看穿《2025 NSS 國家安全戰略》的華麗修辭,直指其核心邏輯與 1925 年大英帝國的「衰退管理」如出一轍。 這篇安全戰略變相承認霸權不再,將「無力」改成「克制」,將「責任」友岸外包給「盟友」。 1. 核心:把「力不從心」包裝成「高深智慧」 借鑑歷史(1925 英國): 邱吉爾為了省錢(金本位與福利),將「接受美英海軍平等」包裝成政治家主動尋求和平的「自願共識」。 現代復刻(2025 美國): 川普政府的 NSS 報告將「放棄全球警察」重新定義為「務實(Pragmatic)」與「有原則的克制(Restrained)」。 對比: 報告稱「試圖關注所有事情,等於什麼都沒關注(To focus on everything is to focus on nothing)」——這句話聽起來很有道理,但翻譯成大白話就是:「我們沒錢也沒精力管那麼多閒事了。」 (我懷疑…

💯19❤9🤔1

7 Dec 2025, 22:57 UTC792 views1 reactionsread 7 August 2026

https://technews.tw/2025/12/05/the-palace-released-the-2025-national-security-strategy/

✍1

4 Dec 2025, 03:24 UTC785 views37 reactionsread 7 August 2026
Photo

「高級賽局中的情緒勒索(Leverage)」川普與黃仁勳的共同模式 在日常的人際交易,我們都說「情緒勒索」;但在宏觀的政治與商業賽局裡,這叫做 槓桿 與 民意綁架 。 比對一下最近的新聞上兩個熱門的話題—— 川普的「關稅普發支票」與黃仁勳的「輝達台灣設廠」,本質上都是一場教科書級別的高級情勒。 他們一個綁架了司法,一個綁架了行政,而籌碼,就是群眾的慾望與恐懼。 1. 川普的陽謀:用 2000 美元綁架法官 川普近期拋出的震撼彈:宣稱要將提高關稅所得的收益,直接以每人 2000 美元的支票形式「普發」給美國人民。 這聽起來像是粗暴的財政刺激,但如果放在「最高法院正在審理關稅適法性」的時間來看,這就是一場情勒。 人質: 全美中低收入戶口袋裡的 2000 美元。 勒索對象: 美國聯邦法院與大法官。 情勒邏輯: 川普巧妙的將「關稅是否違法」的嚴肅法律問題,置換成了「誰擋了人民財路」的民粹問題。 他把法官推到了一個很尷尬的地方:…

❤32👻3💊2

3 Dec 2025, 14:56 UTC715 views29 reactionsread 7 August 2026
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很多人買股票喜歡看營收創新高,但我看別ㄉ—「存貨週轉天數」。 簡單來說,這個指標代表 「這家公司的產品做出來後,平均要花幾天才能賣得掉」。 回策 NVIDIA(輝達),來驗證: 1. 「負相關」 就是這兩個數據會往相反的方向走: 存貨天數越高(東西賣不掉) ⮕ 股價越低(大家恐慌拋售) 存貨天數開始下降(東西賣動了) ⮕ 股價開始飆漲 2. 為什麼「最慘的時候」反而是買點? 請看第二張圖,NVIDIA 在 2022 年第四季發生了什麼事? 它的存貨週轉天數飆升到 195 天! 代表一片晶片做出來要在庫房裡躺超過半年才賣得掉。 這時候,市場上的情緒通常是絕望的:「完蛋了,顯卡沒人要,庫存滿坑滿谷,公司要賠錢了。」 於是股價被殺到最低點(剛好對應NVDA低點)。 當這項數據來到「歷史最高點」時=利空出盡了。 公司會開始採取劇烈手段(比如減產、打折清庫存),狀況已經糟到不能再糟,接下來只要稍微好轉一點點,股價就會像壓扁…

❤22🤩4✍2👌1

3 Dec 2025, 11:38 UTC655 views12 reactionsread 7 August 2026

看起來要付錢,垃圾東西

🤡6😎5🤪1

Showing the 12 most recent of 15 posts we hold for @RE_trading_group. 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.

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 11 October 2026 — this entry's latest reading, not the date you are reading this.

“XU trading group” (@RE_trading_group), 1,153 subscribers as measured 11 October 2026. Telegram Register, tgregister.com/channel/RE_trading_group.

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.