Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 97% 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 word for word on 1 other registered channel. They sit inside a group of 3 channels that share the same post bodies with each other. 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 (5 of the pairs behind the counts below)
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 1 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 39 comparable posts for this entry, running 5 August 2026 to 7 August 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).
Across the whole group of 3, the earliest publisher we hold is @KiwoomResearch. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
54 measurements spanning 86 days, net -575. 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 36,191–36,938 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 54
Measured (UTC)
Subscribers
Change
31 Oct 2026, 07:28
36,277
-4
30 Oct 2026, 09:16
36,281
-9
29 Oct 2026, 06:19
36,290
-10
28 Oct 2026, 02:08
36,300
-19
26 Oct 2026, 22:39
36,319
-4
26 Oct 2026, 00:36
36,323
+2
25 Oct 2026, 03:06
36,321
-18
24 Oct 2026, 06:27
36,339
-9
23 Oct 2026, 05:06
36,348
-14
22 Oct 2026, 05:19
36,362
-7
20 Oct 2026, 20:21
36,369
-15
19 Oct 2026, 21:51
36,384
-7
18 Oct 2026, 21:35
36,391
+10
17 Oct 2026, 21:19
36,381
+1
16 Oct 2026, 17:44
36,380
-3
15 Oct 2026, 17:16
36,383
-4
14 Oct 2026, 15:59
36,387
-4
13 Oct 2026, 07:36
36,391
-26
9 Oct 2026, 03:22
36,417
-15
4 Oct 2026, 13:21
36,432
first reading
Engagement
1,131 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 157 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.36%
avg views ÷ 36,277 subscribers
Avg views / post
1,220
507 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
507
of 1,131 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 30 October 2026
Posts held
1,131 (5 August 2026 – 30 October 2026)
Views total
618,557
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
31 Oct 2026, 15:57 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
≈612
Links
≈7,130
Lifetime counters from Telegram’s own channel header, read 31 October 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.
[키움 미국 전략/주식 김승혁]
아마존 닷컴 (AMZN.US): AWS 너마저
▶FY3Q26 실적 Review
-매출액 2,019.4억 달러(YoY +12.1%)로 컨센서스 대비 -0.2%, 영업이익 280.8억 달러(YoY +61.2%)로 컨센서스 대비 +7.7%
-영업이익률 13.9%로 (YoY +4.2%p), 컨센서스 대비 +1.0%p 개선
-EPS 1.89달러(YoY -3.1%)로 컨센서스 대비 -4.1% 하회
▶설치 속도가 정하는 AWS 성장
-AWS 매출 459.8억 달러(YoY +39.3%)로 약 5년 내 최고 성장률, 백로그는 5,780억 달러(QoQ +820억 달러) 기록
-수요가 용량을 앞서며 설치 속도가 곧 성장 속도가 된 상황, 약 14초마다 AI 가속기 1개를 설치하면 실시간으로 흡수된다는 설명
-AWS 영업이익률…
제목 : 레딧, AI 검색 확산에 유입 트래픽 감소…로그인 중심 서비스 전환 *연합인포맥스*
테크크런치는 “레딧(NYS:RDDT)이 인공지능(AI) 기반 검색 확산으로 검색엔진 유입 트래픽이 감소함에 따라 로그인 사용자 중심의 서비스로전환한다”고 보도했다. “레딧은 그동안 구글 검색을 통해 유입되는 비로그인 이용자들을 주요 성장 경로로 활용해 왔다. 그러나 AI 검색 요약이 검색 결과에서 직접 답변을 제공하면서 이용자들이 웹사이트를 방문하지 않는 사례가 늘었고, 10월에는 검색 유입이 주당 평균 100만 건 이상 감소했다”고 설명했다. 이어 “레딧의 3분기 글로벌 일일 활성 이용자 수는 직전 분기와 비슷한 1억3…
제목 : GM, 운전자 데이터 무단 판매 소송에 2억2,000만 달러 지급 합의 *연합인포맥스*
테크크런치는 “제너럴모터스(NYS:GM)가 운전자의 운전 습관과 위치정보를 동의 없이 판매했다는 혐의와 관련해 36개 주 정부와 2억2,000만달러의 합의에 도달했다”고 보도했다. “이번 합의는 GM이 수집한 운전자의 주행 및 위치정보를 데이터 중개업체에 제공하고, 해당 업체들이 이를 보험사에 판매했다는 주 정부들의 주장을 해결하기 위한 것이다”고 설명했다. 이어 “보험사들은 운전자의 급가속과 급제동, 운행 시간 등의 정보를 보험료 산정에 활용했다”고 밝혔다. “문제가 된 서비스는 GM의 스마트 드라이버 프로그…
제목 : 테슬라, 한국서 FSD 기능 지연 관련 소송 승소 *연합인포맥스*
시킹알파는 “한국 법원이 테슬라(NAS:TSLA)의 완전자율주행(FSD) 기능 제공 지연을 이유로 환불을 요구한 차량 소유주들의 소송을 기각했다”고 보도했다. “서울중앙지법은 테슬라 차량 소유주 88명이 제기한 FSD 옵션 구매대금 반환 청구 소송에서 원고 패소 판결을 내렸다”고 밝혔다. 이와 관련해 법원은 “FSD 옵션이 운전자 개입이 전혀 필요 없는 레벨 5 자율주행을 보장하는 상품이라고 볼 수 없다”고 판단했다. “FSD 패키지는 차선 유지, 차간거리 제어, 자동 주차, 차량 호출 등 운전자 개입…
제목 : 애크먼 “메타, AI 투자 부담 우려 과도…주가 저평가” *연합인포맥스*
퍼싱스퀘어의 빌 애크먼 CEO는 “메타 플랫폼스(NAS:META)의 대규모 인공지능(AI) 투자에 대한 시장의 우려가 과도하며, 현재 주가가 크게 저평가돼 있다”고 평가했다. “메타는 약 800억 달러의 현금을 보유하고 있고 순차입금이 없는 탄탄한 재무구조를 갖췄다”고 강조했다. 이어 “시장 참여자들의 레버리지가 높고 투자 기간이 매우 짧기 때문에, 실적 발표 다음 날의 주가 거래만으로 판단할 수 없다”고 언급했다. “동사 사업은 성장세가 가속화되고 있다. AI가 메타의 사업 성장을 촉진하고 있다”고 평가했다.…
제목 : 아마존·우버·인스타카트, 뉴욕시 배달기사 보호법에 소송 제기 *연합인포맥스*
시킹알파는 “아마존(NAS:AMZN), 우버 테크놀로지스(NYS:UBER), 인스타카트(NAS:CART)가 배달 플랫폼이 노동자를 서비스에서 제외할 수 있는시점을 제한하는 뉴욕시 법률의 시행을 막기 위해 연방법원에 소송을 제기했다”고 보도했다. “1월 시행 예정인 이 법안은 기업이 업무 수행 미흡 등 비활성화의 정당한 사유를 마련하고, 노동자에게 사전에 통지하도록 규정한다”고 설명했다. 이어 “이번 법적 대응은 차량 호출 플랫폼을 둘러싼 유사한 분쟁에 이은 것이다”고 밝혔다. “우버와 리프트(NAS:LYFT)는 올해 초 …
제목 : 토스트, FTC 소송에 평판 훼손 우려…주가 영향은 제한적 *연합인포맥스*
배런스는 “미국 연방거래위원회(FTC)와 여러 주 정부가 레스토랑 소프트웨어 업체 토스트(NYS:TOST)를 상대로 소송을 제기했지만, 주가에 미치는 영향은 제한적이었다”고 보도했다. 이와 관련해 FTC와 콜로라도·플로리다·일리노이 등 7개 주 법무장관은 “토스트가 식당 운영업체에 숨겨진 수수료와 무단 부가서비스 비용을 부과하고, 구독 해지를 어렵게 했다”고 주장했다. “고객 지원 서비스를 24시간 제공한다고 광고했지만 실제로는 약속을 이행하지 않았다. 이러한 행위가 연방거래위원회법과 온라…
제목 : FCC, 위성통신 주파수 482MHz 추가 개방 추진…스페이스X 수혜 기 *연합인포맥스*
테슬라라티는 “미국 연방통신위원회(FCC)가 위성 기반 휴대전화 서비스에 482MHz의 추가 주파수를 활용할 수 있도록 하는 규정 개정안을 추진하면서 스페이스X(NAS:SPCX)의 스타링크 모바일 사업 확대 기대가 커지고 있다”고 보도했다. “10월 29일(목) FCC는 위성이 일반 스마트폰에 직접 통신 서비스를 제공할 수 있도록 주파수 활용 범위를 확대하는 규정 제정 절차를 진행하기로 했다”고 설명했다. 이어 “이번 제안이 시행되면 위성통신용 보조 주파수 대역이 기존 5개에서 13개로 늘어날 수 있다”고 밝혔다.…
제목 : 테슬라·스페이스X, 알파벳 실적 충격에 동반 약세 *연합인포맥스*
배런스는 “알파벳(NAS:GOOG, GOOGL)의 실적 발표 이후 인공지능(AI) 관련 대형 기술주에 대한 투자심리가 위축되면서 테슬라(NAS:TSLA)와 스페이스X(NAS:SPCX) 주가도 약세를 보였다”고 보도했다. “알파벳 주가는 구글 검색 사업의 실적이 시장 예상에 미치지 못하면서 약 12% 급락했으며, 이는 AI 관련주 전반의 투자심리에도 부정적인영향을 미쳤다”고 설명했다. 이어 “29일(목) 테슬라 주가는 장 초반 400.50달러까지 하락한 뒤 낙폭을 만회해 403.30달러로 마감했다”고 밝혔다. …
제목 : 텐센트·비자, 중국 내 결제사업 확대 *연합인포맥스*
CNBC는 “텐센트(HKEX:0700)와 비자(NYS:V)가 중국 내 결제사업 확대를 위해 협력을 강화하기로 했다”고 보도했다. “양사는 10월 29일(목) 양해각서를 체결하고 중국을 오가는 여행객의 결제 편의성을 높이는 방안을 모색하기로 했다”고 설명했다. 이어 “텐센트의 위챗페이와 비자의 결제망을 연계해 해외 여행객이 중국 내 가맹점에서 더 편리하게 결제할 수 있도록 할 예정이다”고 밝혔다. “양사는 해외 송금 서비스도 확대할 계획이다. 비자의 국제 송금 플랫폼인 비자 다이렉트를 활용해 해외에서 …
Showing the 12 most recent of 1,131 posts we hold for @kwusa. 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.
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 2 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 2 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
신영증권 박소연 @sypark_strategy · 29,326 Telegram ranks this channel #31 of 91 here — alongside 90 others — read 8 September 2026
유진투자증권 코스닥벤처팀 @SmallCap · 23,033 Telegram ranks this channel #77 of 96 here — alongside 95 others — read 19 September 2026
하나 중국/신흥국 전략 김경환 @HANAchina · 35,299 Telegram ranks this channel #90 of 92 here — alongside 91 others — read 2 September 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 31 October 2026 — this
entry's latest reading, not the date you are reading this.
“키움증권 미국주식 톡톡” (@kwusa), 36,277 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/kwusa.
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.
