Channel
@BTC_CatnDog
On this record: Growth · Engagement · Posts · Telegram's recommendations · Cite this entry
606subscribers
-8 since we began measuring on 23 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002023147221 |
|---|---|
| Type | Channel |
| Username | @BTC_CatnDog |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 23 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/BTC_CatnDog |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 14:18 | 606 | -3 |
| 9 Sept 2026, 10:59 | 609 | -4 |
| 31 Aug 2026, 18:43 | 613 | -1 |
| 23 Aug 2026, 22:15 | 614 | no change |
| 23 Aug 2026, 22:01 | 614 | first reading |
20 posts held, back to 30 April 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 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 20 posts for this entry, the most recent from 19 August 2026. An engagement rate over an empty window would be a number about nothing.
本周新聞整理08/19 ⭕️宏觀市場 美國中期選舉將如何攪動市場？花旗給選前50天和30天路線圖 https://www.techflowpost.com/article/33334 黃金暴跌26%沒人排隊買金條，央行卻悄悄回來買了 https://www.techflowpost.com/article/33247 Anthropic研究員激辯華爾街AI大空頭：AI太危險所以不能分散，還是太危險所以不能集中？ https://www.techflowpost.com/article/33289 黃仁勳把GPU變成抵押品套5,000億美元，會重演08年經濟危機嗎？ https://www.techflowpost.com/article/33246 3倍比特幣ETF要來了：危險的槓桿，正在穿上合規外衣 https://www.techflowpost.com/article/33288 被AI碾壓30年後，人們重新愛上了下棋 …
本周新聞整理08/12 ⭕️宏觀市場 OpenAI公開回懟蘋果商業竊密訴訟：你們搞錯人、說謊話，還想甩鍋給我們 https://www.techflowpost.com/article/33035 美銀研報解讀：Bull & Bear 指標上升至9.7，流動性兜底與中期選舉構成市場核心矛盾 https://www.techflowpost.com/article/33124 爆倉之後，資本反而撲向"AI股神" https://www.chaincatcher.com/article/2281469 7月非農沒給聯準會清晰答案，「新聯準會通訊社」：9月是否升息還得看通膨 https://www.chaincatcher.com/article/2281415 OpenAI全新GPT Image突襲，碾壓Image 2，塑料感終於消失 https://news.marsbit.co/20260810113912792080.htm…
本周新聞整理08/05 ⭕️宏觀市場 美日聯合干預：新“廣場協議”，布雷頓森林體係2.0的開端與日元套利時代的終結 https://news.marsbit.co/20260803092007563840.html 先知先死，天才股神的牛市獻祭 https://www.techflowpost.com/article/32938 聯準會從來不是裁判 https://www.techflowpost.com/article/32936 美聯儲九月必加息？加密與美股將如何承壓？ https://news.marsbit.co/20260803100119747623.html 貨幣政策的「安娜卡列尼娜原則」：沃什要保住信譽，聯準會9月就必須升息？ https://www.techflowpost.com/article/32978 美日近30年罕見聯手，日元套利時代的終結 https://news.marsbit.co/20260…
本周新聞整理07/29 ⭕️宏觀市場 戰爭進入危險階段，油價或破2008 年146 美元歷史極值 https://www.techflowpost.com/article/32780 2026下半年，大宗商品進入「高頻黑天鵝」時代 https://news.marsbit.co/20260724140709472323.html 「金錢無用論」？馬斯克2036預言為何可能徹底改寫比特幣命運 https://www.techflowpost.com/article/32819 Sam Altman最新專訪：當一切都在指數級變化，你該有怎麼樣的心態和判斷力 https://www.techflowpost.com/article/32827 「救日元」的代價：日股會重演兩年前的大跌嗎？ https://news.marsbit.co/20260728105217971862.html 中國DRAM巨頭攪拌全球格局，美股記憶體晶片跳…
本周新聞整理07/22 ⭕️宏觀市場 高盛研報解讀：AI動量波動加劇，三個非AI主題浮現 https://www.techflowpost.com/article/32642 市場代勞「升息」，沃什全力「抗通膨」 https://www.techflowpost.com/article/32643 帳戶戰爭：當美元帳戶，誕生在銀行之外 https://www.techflowpost.com/article/32694 摩根大通研報解讀：AI 拋售為技術性錯殺，半導體接近底部可逢低佈局 https://www.techflowpost.com/article/32679 美銀研報解讀：牛熊指標升到9.6，歷史位置對應“賣出訊號” https://www.techflowpost.com/article/32654 伯恩斯坦解讀：1420億美元長期訂單，能否托住內存周期？ https://news.marsbit.co/2026…
本周新聞整理07/15 ⭕️宏觀市場 摩根大通研報解讀：三星獲利強勁但短期承壓，台積電A14認證是設備鏈關鍵催化 https://www.techflowpost.com/article/32429 沃什首次FOMC紀要，市場還敢押美聯儲降息嗎？ https://news.marsbit.co/20260709110207349184.html 一檔投資播客把200期歷史節目餵給AI複盤：押中美光180%漲幅，卻錯過Cursor60億收購 https://www.techflowpost.com/article/32444 伯恩斯坦研究解讀：AI智能體引爆CPU需求，記憶體介面晶片TAM三年翻三倍至200億美元 https://www.techflowpost.com/article/32449 泡沫褪去，誰在統治AI時代的注意力？ 2026中英AI KOL影響力圖鑑 https://www.techflowpost.com/…
本周新聞整理07/08 ⭕️宏觀市場 Claude5斷網18天複活，首份絕密自白曝光，狂噴DATA GO“火星文” https://news.marsbit.co/20260703160110607371.html 別把Meta 一家賣算力，錯讀成全行業AI 算力過剩 https://www.techflowpost.com/article/32314 一杯拿鐵3毛8，Gemini 3.1聯手GPT-5.5干黃咖啡館，2個月燒光21萬 https://news.marsbit.co/20260702195409453232.html 近距離觀察沃什後，大摩首席經濟學家堅稱：聯準會今年不會升息 https://www.techflowpost.com/article/32358 ⭕️股市 900多頁報告曝光川普神秘操盤：AI交易踩點、關稅風暴前後高頻換倉 https://www.techflowpost.com/article…
本周新聞整理07/01 ⭕️宏觀市場 研報解讀：高盛拆解亞洲股市真相，繁華背後的極端抱團 https://www.techflowpost.com/article/32255 明修棧道暗度陳倉，沃許為9月「降息」鋪路？ https://foresightnews.pro/article/detail/98328 韓股飆漲卻心情鬱卒？韓爆「KOSPI憂鬱症」，上班族崩潰求診 https://news.tvbs.com.tw/world/3244844 傳奇投資人發出崩盤預警！強調美國AI股恐「崩跌70％」泡沫化 https://finance.ettoday.net/news/3192886?from=ettoday_app ⭕️股市 美光財報解讀：營收414億美元創紀錄，SCA策略重塑儲存產業估值邏輯 https://www.techflowpost.com/article/32201 Meta殺入預測市場，代號「Arena…
本周新聞整理06/24 ⭕️宏觀市場 沃什上任首秀：不降息、不加息，但準備「少說話」？ https://www.techflowpost.com/article/32098 達裡奧重磅長文：當前市場環境下該如何布局？ https://news.marsbit.co/20260618111507278199.html 美聯儲主席沃什：堅守2%通脹目標，成立五個特別工作組，個人未提交點陣圖 https://news.marsbit.co/20260618101508694213.html 研報解讀：聯準會新主席首秀，換了掌門，但沒換劇本？ https://www.techflowpost.com/article/32159 葛林斯潘去世：他寫下的市場規則，沃什正在改寫 https://www.techflowpost.com/article/32166 60天窗口壓低油價，為什麼市場反而跌了？ https://news.marsb…
本周新聞整理06/17 ⭕️宏觀市場 特朗普加密帝國：一場23億美元的財富轉移實驗 https://news.marsbit.co/20260611105307524668.html 黃金抄底指南：盯住利率，別只看戰爭 https://www.techflowpost.com/article/32014 韓國年輕人，在史詩級牛市裡“最後一搏” https://www.techflowpost.com/article/32021 AI版「次貸危機」？狂潮之下，1.8萬億隱性債務正在暗處積聚 https://news.marsbit.co/20260615153708484427.html 達利歐最新發聲：AI集中度太高，未來5到10年美股實際回報可能是負的 https://www.techflowpost.com/article/32073 ⭕️美股 SpaceX上市之後誰接盤？ https://news.marsbit.co…
本周新聞整理06/10 ⭕️宏觀市場 彭博社揭秘：中國富人是怎麼突破每年5萬限額，轉移資產的？ https://news.marsbit.co/20260604105510389218.html Hinton吹哨了：AI已經有意識 https://news.marsbit.co/20260608081611445105.html 韓國KOSPI 開盤暴跌8.37%觸發熔斷：撐起牛市的「兩隻股票」一日反噬 https://www.techflowpost.com/article/31948 JP Morgan年中研報解讀：AI超級週期仍未結束，減少現金持有+實體資產配置 https://www.techflowpost.com/article/31943 美國獨立日恐迎「油箱見底」：兩條海峽如何卡住全球石油命脈 https://news.marsbit.co/20260603024711937826.html ⭕️台股 AI產…
本周新聞整理06/03 ⭕️宏觀市場 黃金、法幣、比特幣，誰將在10年後主導全球金融？ https://www.techflowpost.com/zh-TW/article/31804 對沖基金一季度解讀：每個人都在拋軟件，買芯片 https://www.techflowpost.com/zh-TW/article/31785 美國關稅退款生變 川普政府擬上訴挑戰全面退稅命令 https://www.cna.com.tw/news/aopl/202606030050.aspx ⭕️台股 建立非紅供應鏈！中科院推「機器狗」 完整性能全面曝光 https://share.google/2VyJGthxWGwH2j0BJ 高盛點將喊買半導體五強 預期台鏈進入「結構性需求爆發期」 https://money.udn.com/money/story/5607/9541945 COMPUTEX現場直擊／輝達 CEO 黃仁勳一句話 光通訊…
Showing the 12 most recent of 20 posts we hold for @BTC_CatnDog. 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.
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 1 seed channel's Telegram-generated recommendation list 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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“藍貓黑狗比特研究院-台股/美股/黃金/加密貨幣” (@BTC_CatnDog), 606 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/BTC_CatnDog.
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.