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 11 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 7 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 692 comparable posts for this entry, running 5 August 2026 to 13 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Recorded under the key clone_source, last confirmed 14 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
75 measurements spanning 99 days, net +1,441. 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”.
Measurement log — every subscribers count we have recorded, most recent 20 of 75
Measured (UTC)
Subscribers
Change
12 Nov 2026, 20:00
16,744
+20
10 Nov 2026, 11:51
16,724
+16,709
9 Nov 2026, 23:18
15
-16,683
9 Nov 2026, 00:46
16,698
+18
7 Nov 2026, 16:57
16,680
+11
6 Nov 2026, 14:37
16,669
-4
5 Nov 2026, 15:44
16,673
+9
4 Nov 2026, 13:07
16,664
+9
3 Nov 2026, 10:05
16,655
+8
2 Nov 2026, 13:06
16,647
+1
1 Nov 2026, 12:37
16,646
+5
31 Oct 2026, 12:41
16,641
+11
30 Oct 2026, 09:19
16,630
+9
29 Oct 2026, 11:27
16,621
+16
28 Oct 2026, 11:11
16,605
+1
27 Oct 2026, 13:54
16,604
+3
26 Oct 2026, 17:18
16,601
+10
25 Oct 2026, 19:41
16,591
+16,575
25 Oct 2026, 10:46
16
-16,568
24 Oct 2026, 18:20
16,584
first reading
Engagement
861 posts held, back to 5 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 75 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
17.6%
avg views ÷ 16,744 subscribers
Avg views / post
2,950
279 posts measured
Reaction rate
0.109%
reactions ÷ views · ER floor
Posts in window
279
of 861 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
Window
Rolling 30 days · latest post in window 14 November 2026
Posts held
861 (5 August 2026 – 14 November 2026)
Views total
823,772
Reactions total
897
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 12:16 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.
What this channel posts
Photos
≈7,590
Videos
≈1
Links
≈21,800
Lifetime counters from Telegram’s own channel header, read 14 November 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.
Reaction mix
2,707 reactions across 839 posts, in 2 distinct kinds. The most used accounts for 89.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,422
89.5%
🎉
285
10.5%
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 860 of the 861 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 2,764 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 861 most recent posts we hold, published 5 August 2026 to 14 November 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
Telegram’s own ‘edited’ marker: 254 of 279 posts held from the last 30 days (91.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
악재 동시 발생한 가운데 미국 주식 시장은 오히려 상승: 월가 '팔 게 없다'며 반등
• 젠슨황 사퇴, CPI/PPI 연속 예상 상회, 연준의 12월 금리 인상 등 악재 동시에 발생. 그럼에도 미국 주식은 반등하며 S&P500 주간 2% 상승
• 골드만삭스에 따르면 헤지펀드 순레버리지는 5년만에 최저 수준으로 감소 & 공매도 물량 대부분 청산
• 악재에는 오히려 '팔 게 없다'는 상황 지속되며 주식 시장 반등. 채권시장만 압박 받으며 2년물 금리는 주간 35bp 상승
“坏事全部撞在一起",美股却逆势反弹:华尔街上演“无票可卖”式逼空!
英伟达创始人黄仁勋黯然离职、CPI与PPI连续超预期、美联储放风12月加息50个基点——利空齐爆,美股却逆势收涨,标普500周涨2%。高盛数据显示对冲基金净杠杆降至五年最低,空头基本出清,坏消息砸下却“无票可卖”,轧空行情推升股市;债…
전기 싸움 대비
=========================
~ 중국 정부는 2030년 신형 ESS 설비용량을 3억㎾까지 확대하고 평균 에너지 저장시간도 약 3시간으로 늘릴 계획이다. 2025년 말 중국의 신형 ESS 설비용량은 1억3600만㎾, 평균 저장시간은 2.58시간이다. 목표대로라면 5년 동안 설비용량이 현재의 약 2.2배로 늘어난다
~ 이번 방안의 핵심은 단순한 설비 확대보다 ESS 산업의 시장화에 있다. 중국은 ESS가 전력시장에 공정하게 참여하도록 하고, ESS를 갖춘 대형 재생에너지 기지가 하나의 시장 주체로 성(省) 간 전력 거래에 참여하는 방안을 추진한다
https://www.the-today.com/news/articleView.html?idxno=93562
앤트로픽: 지금 상장하는 가장 큰 이유는 현금. 더 큰 버퍼 구축해 바이오, 로봇, 사이버보안 분야에 충분한 자금 투자하기 위함
========================
~ Anthropic CEO Dario Amodei says the biggest reason to go public now is cash: a bigger buffer between the low-compute and high-compute worlds, so Anthropic can invest enough in biology, robotics and cyber
https://x.com/firesidealpha/status/2121296446439977277?s=20
미국의 전통적인 크리스마스 랠리. 올해도?
• 미국 주식은 기술적 & 포지션 측면에서 동시에 회복. 골드만삭스, 모건스탠리, JP모건 등 잇따라 연말 반등 신호 제시
• 포지션의 극단적인 청산, 밸류에이션 평균 회귀, 계절적 지지가 함께 숏스퀴즈 환경 조성
• 다만 글로벌 제조업 수입 물가는 연율 약 24%로 코로나19 정점 돌파. 인플레이션은 내년 1분기에 집중될 것. 골드만삭스는 연말 랠리가 나타난다면 향후 상승 여력 미리 소진할 수 있다고 경계
传统的圣诞行情,今年的美股还有吗?
美股在技术面与仓位面同步修复后,高盛、摩根士丹利、摩根大通相继发出年末反弹信号。仓位极度出清、估值回归均值、季节性支撑共同构成轧空条件。然而,全球制造业进口价格通胀年化约24%,已超疫情高峰,通胀账单将于明年一季度集中到期。高盛警示,年末狂欢一旦兑现,将透支未来上涨空间。
https…
기존 129만위안 수준의 약이 의료보험에 포함
• 11/14 중국국가의료보험국은 JW Therapeutics의 CAR-T 약품을 의료보험 목록에 포함. 의료보험 적용 전 해당 약품 가격은 개당 129만위안
• 의료보험 적용 이후 가격은 30만위안 이하로 하락
原价129万/支的天价药,进医保了
11月14日,国家医保局宣布,药明巨诺的CAR-T药物瑞基奥仑赛已被纳入医保目录。进入医保前,瑞基奥仑赛的定价为129万元/支。哈尔滨血液病肿瘤研究所马军所长参与了瑞基奥仑赛项目的审评和临床应用共识的制定,他表示,纳入医保后,瑞基奥仑赛的定价已降到30万元/支以下。(经济观察报)
https://wallstreetcn.com/livenews/3200084?ivk=1#from=android
AI 열풍이 '상승장의 함정'에 빠질 수 있다는 경고(마이클 버리)
• 젠슨황 사임 계기로 공매도 강화. 나스닥지수의 10월 고점을 2000년 닷컴버블 정점에 비유
•11/12에는 2027년초 행사 나스닥100 풋옵션 보유 비중 두 배로 확대. 동시에 VanEck 반도체 지수 풋옵션 재설정
• 투자자들에게 직접 "시장을 떠나라"고 경고. 2027년 중반까지 반도체주 큰 폭 하락 예상
老黄离职后,“大空头”加码做空科技股!警告AI热潮或陷入“牛市陷阱”
Michael Burry借黄仁勋离职加码做空,将纳指10月高点比作2000年互联网泡沫顶部,于11月12日将纳指100看跌期权仓位翻倍,行权定于2027年初,并重建VanEck半导体指数看跌期权,直接告诫投资者“离场”,预判芯片股2027年中前显著回调。
https://news.einfomax.co.kr/news/…
오픈AI, 독립 로봇팀 해체
=======================
~ 미 경제전문지 포춘은 13일(현지시간) 오픈AI가 독립 로보틱스 팀을 없애고 범용 AI 중심 체계로 전환했다고 전했다. 범용 AI 모델 'GPT-6 아스트라'를 로봇에 바로 적용할 수 있다는 점이 확인되면서 별도 조직을 둘 필요가 줄었다는 설명이다
~ 로봇 연구자들은 마크 천 최고연구책임자(CRO) 산하 핵심 연구 조직으로, 응용 로보틱스·하드웨어 인력은 그렉 브록먼 사장 산하 응용 조직으로 재배치됐다. 로봇 개발을 위한 별도 조직은 사라졌지만, 연구와 제품 개발 기능은 각각 핵심 AI 연구와 응용 부문으로 흡수된 셈이다
https://www.choicenews.co.kr/news/articleView.html?idxno=173182
일론 머스크는 트럼프 대통령 방중 일정에 합류
===========================
JUST IN: 🇺🇸🇨🇳 Elon Musk to join President Trump on his trip to China next week
https://x.com/WatcherGuru/status/2121400046377931064?s=20
미국의 반도체와 중국의 희토류가 만나는 시점 주목
========================
~ 로이터통신은 13일(현지시간) 중국 내 조달공고·투자계획·건설계약·기업공시 등 150여건의 자료를 살펴본 결과 프로젝트와 장비 계약 규모 합계가 230억 위안 이상이었다고 보도했다
~ 다만 집계에는 엔비디아 칩뿐만 아니라 건물, 전력 시스템, 인프라 시설 비용도 들어가 있으며, 건설 완료된 사업뿐만 아니라 투자를 계획 중이거나 계약서를 쓴 경우도 포함됐다
https://n.news.naver.com/article/001/0016441717?sid=104
미 백악관, 중국 APE정상의 미중러 3자회담 발표
====================
~ 13일(이하 현지시간) 로이터에 따르면 이날 올리비아 웨일스 백악관 대변인은 트럼프 대통령이 중국 선전에서 열리는 아시아태평양경제협력체(APEC) 정상회의를 계기로 오는 19일 시 주석, 푸틴 대통령과 3자 정상회담을 갖는다고 밝혔다.ㅣ
https://n.news.naver.com/article/417/0001164302?sid=104
❤2
Showing the 12 most recent of 861 posts we hold for @G2strategy. 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
@G2strategy edited 46 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
14 November 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 92 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 6 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.
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.
유진투자증권 코스닥벤처팀 @SmallCap · 22,982 Telegram ranks this channel #1 of 96 here — alongside 95 others — read 19 September 2026
하나 중국/신흥국 전략 김경환 @HANAchina · 35,286 Telegram ranks this channel #1 of 92 here — alongside 91 others — read 2 September 2026
[메리츠 Tech 김선우, 양승수, 김동관] @merITz_tech · 24,857 Telegram ranks this channel #2 of 92 here — alongside 91 others — read 17 September 2026
TNBfolio @TNBfolio · 25,195 Telegram ranks this channel #2 of 93 here — alongside 92 others — read 15 September 2026
엄브렐라리서치 Jay의 주식투자교실 @Jstockclass · 26,508 Telegram ranks this channel #4 of 90 here — alongside 89 others — read 13 September 2026
시장 이야기 by 제이슨 @bumgore · 35,362 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 2 September 2026
습관이 부자를 만든다. 🧘 @habit4117 · 28,295 Telegram ranks this channel #9 of 87 here — alongside 86 others — read 10 September 2026
급등일보 미국주식🇺🇸 속보·매크로·리서치 @FastStockNewsUSA · 41,039 Telegram ranks this channel #10 of 89 here — alongside 88 others — read 2 September 2026
여의도스토리 Ver2.0-习近平是个狗东西 @YeouidoStory2 · 57,976 Telegram ranks this channel #10 of 92 here — alongside 91 others — read 2 September 2026
서화백의 그림놀이 🚀 @easobi · 23,406 Telegram ranks this channel #14 of 87 here — alongside 86 others — read 18 September 2026
주식 급등일보🚀급등테마·대장주 탐색기 | Korean Stocks @FastStockNews · 128,811 Telegram ranks this channel #17 of 92 here — alongside 91 others — read 2 September 2026
Buff @bufkr · 21,563 Telegram ranks this channel #18 of 89 here — alongside 88 others — read 21 September 2026
간절한 투자스터디카페 @desperatestudycafe · 18,488 Telegram ranks this channel #25 of 83 here — alongside 82 others — read 5 October 2026
HS아카데미 대표 이효석 @HS_academy · 36,206 Telegram ranks this channel #29 of 90 here — alongside 89 others — read 8 September 2026
피카츄 아저씨⚡️ @pikachu_aje · 24,917 Telegram ranks this channel #33 of 91 here — alongside 90 others — read 14 September 2026
YIELD & SPREAD @yieldnspread · 22,083 Telegram ranks this channel #34 of 89 here — alongside 88 others — read 21 September 2026
신영증권 박소연 @sypark_strategy · 29,245 Telegram ranks this channel #34 of 91 here — alongside 90 others — read 8 September 2026
AWAKE - 실시간 주식 공시 정리채널 @darthacking · 65,784 Telegram ranks this channel #36 of 91 here — alongside 90 others — read 2 September 2026
이지스스트레티지 리서치 @jeilstock · 26,232 Telegram ranks this channel #40 of 93 here — alongside 92 others — read 12 September 2026
선진짱 주식공부방 @sunstudy1111 · 55,218 Telegram ranks this channel #41 of 89 here — alongside 88 others — read 2 September 2026
Market News Feed @marketfeed · 39,766 Telegram ranks this channel #42 of 84 here — alongside 83 others — read 31 August 2026
허혜민의 제약/바이오 소식통 @huhpharm · 24,264 Telegram ranks this channel #44 of 93 here — alongside 92 others — read 16 September 2026
[하나증권 ETF] 박승진 @globaletfi · 20,610 Telegram ranks this channel #46 of 86 here — alongside 85 others — read 28 September 2026
기술적 분석으로 보는 주식시장 (by 소라게아빠) @hermitcrab41_1 · 21,506 Telegram ranks this channel #48 of 81 here — alongside 80 others — read 28 September 2026
This channel appears in 49 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“한투증권 미국/중국전략 정정영” (@G2strategy), 16,744 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/G2strategy.
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.