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Channel

트리플 아이 - Insight Information Indepth

@triple_stock

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

12,674subscribers

+36 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001603630466
TypeChannel
Username@triple_stock
Created10 February 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/triple_stock

Topic

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 71% 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.

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. 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 (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@triple_stock/16742 · this entry4 Aug 2026, 22:55 UTC@cahier_de_market/103664 Aug 2026, 22:58 UTC1.003 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@cahier_de_market5 (5/5 hand-verifiable sample passed)1.0022 minutes@cahier_de_market (41)

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 19 comparable posts for this entry, running 4 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 2, the earliest publisher we hold is @triple_stock — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 8 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 1 other registered channel, 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.

Growth

12,63212,68112,656.57 August 2026 — 12,638 subscribers7 August 2026 — 12,632 subscribers10 August 2026 — 12,665 subscribers11 August 2026 — 12,681 subscribers12 August 2026 — 12,674 subscribers12,6747 August 202612 August 2026
5 measurements spanning 6 days, net +36. 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 12,625–12,688 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 17:3312,674-7
11 Aug 2026, 16:0912,681+16
10 Aug 2026, 16:4212,665+33
7 Aug 2026, 18:3012,632-6
7 Aug 2026, 03:4512,638first reading

Engagement

51 posts held, back to 4 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 15 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
14.0%
avg views ÷ 12,674 subscribers
Avg views / post
1,780
51 posts measured
Reaction rate
0.409%
reactions ÷ views · ER floor
Posts in window
51
of 51 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. It is computed over the 46 of 51 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held51 (4 August 202612 August 2026)
Views total90,599
Reactions total355
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 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.

Reaction mix

355 reactions across 45 posts, in 11 distinct kinds. The most used accounts for 45.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
16245.6%
👍7621.4%
🔥4412.4%
🤣236.48%
👏133.66%
🖕102.82%
🤮102.82%
🤔82.25%
👎41.13%
💩41.13%
🙏10.282%

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 46 of the 51 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 355reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 51 most recent posts we hold, published 4 August 2026 to 12 August 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

12 Aug 2026, 11:53 UTC300 viewsread 12 August 2026
Forwarded from @insidertrackingPhoto

⚡️⚡️⚡️⚡️⚡️⚡️ Nebius Group 2026년 2분기 실적 요약 📍실적 • 매출 $582.3M, 컨센서스 $557M 상회 • 조정 EBITDA $236.2M, 컨센서스 $157.9M 상회 • 총 영업비용 $758.2M • AI 클라우드 매출 $574.9M • 6월 말 ARR $3.0B, 3월 말 $1.9B 대비 +57.9% 📍가이던스 • 2026년 말 용량 가이던스 5GW로 상향, 5월 제시한 4GW 이상에서 상향 • 2026년 연간 가이던스 재확인 📍핵심 내용 AI 클라우드 • AI 클라우드 매출 $574.9M으로 전체 매출 대부분 차지 • ARR 3개월 만에 $1.9B에서 $3.0B로 $1.1B 증가 • AI 인프라 수요에 대응해 연말 용량 확대 계획 상향 프리마켓 14% 상승

12 Aug 2026, 08:43 UTC862 viewsread 12 August 2026

📌 하나머티리얼즈(시가총액: 1조 2,539억) #A166090 📁 신규시설투자등 2026.08.12 17:19:07 (현재가 : 63,400원, +0.16%) *투자구분 및 목적 - 신규시설투자 - 실리콘 음극재 양산 제조라인 투자 투자금액 : 702억 자본대비 : 15.14% 시총대비 : 5.6% 투자시작 : 2026-08-12 투자종료 : 2027-06-30 투자기간 : 0.9년 공시링크: https://dart.fss.or.kr/dsaf001/main.do?rcpNo=20260812900903 회사정보: https://finance.naver.com/item/main.nhn?code=166090

12 Aug 2026, 05:52 UTC≈1,460 views4 reactionsread 12 August 2026
Photo

내일(8/13) 저녁 7시, 제가 강의를 하고 있는 '팀더윤쎈'에서 ★무료 라이브★를 진행합니다. ※미리 신청하셔야 라이브 링크를 받을 수 있습니다. [무료LIVE] 팀더윤쎈 불확실성을 이기는 투자전략 - 일시 : 8월 13일(목) 저녁 7시 (약 2시간 진행예상) - 참가비: 무료 (0원) - 신청 링크 : https://bit.ly/4g17GOw [라이브 신청자 특별 혜택] ① 라이브를 놓쳐도 걱정 없는 VOD 다시보기 4일권 ② 선착순 제공! 넥스트 주도 섹터 자료집 [이런 분께 추천합니다] ◎ 팀더윤쎈 주식투자 '함께고민 클래스' 강의 내용이 궁금했던 분 ◎ 좀 더 세밀한 마켓 분석이 필요한 분 ◎ 퀀트/섹터/글로벌 분야별로 데이터와 인사이트가 궁금한 분

2🔥2

12 Aug 2026, 05:31 UTC≈1,170 views1 reactionsread 12 August 2026
Forwarded from @cpshelter

시스템LSI사업부, 올해 5월 ‘클로드 코드’ 도입… 반도체 설계·검증에 활용 한 달 이상 필요한 고객 맞춤형 SoC 검증 작업 이틀 만에 끝내 입사 2년 차, 한 달 걸리던 USB 모델 개발 하루 만에 완료 시스템LSI 6000명·퀄컴 5만2000명… “인력 격차 AI로 좁힌다” 오류 숨기고 설계 코드 수정 시도도… “작업 범위·결과 통제 과제” https://n.news.naver.com/mnews/article/366/0001185790

1

12 Aug 2026, 05:03 UTC≈1,530 views5 reactionsread 12 August 2026
Photo

●미국 반도체 장비주 밸류 비교 - 미국 반도체 장비주들의 밸류가 적당히 저렴해졌음.

4👎1

12 Aug 2026, 05:01 UTC≈1,200 views1 reactionsread 12 August 2026
Forwarded from @activeetfPhoto

미 골든돔, 스타트업·VC까지 참여 확대 ▸ 미 국방부가 1,850억 달러 규모 Golden Dome 미사일 방어 사업​에 산업계가 직접 기술·아이디어를 제안할 수 있는 온라인 포털을 개설. ▸ 기존 대형 방산사뿐 아니라 테크기업·스타트업·VC·대학·연구소까지 참여할 수 있고, 골든돔이 필요로 하는 기술 수요를 비기밀 범위에서 공개해 민간 R&D·투자를 유도할 계획. ▸ 초기 등록에는 보안 인가도 필요 없으며, 비전통 방산기업에는 국방부 자금지원도 연계. ▸ 미국이 방산 조달을 대형 프라임 중심에서 더 빠르고 다양한 민간 플레이어로 확대하는 흐름. - 출처: Bloomberg

1

12 Aug 2026, 04:57 UTC901 viewsread 12 August 2026
Forwarded from @aetherjapanresearch

JP모건) 코어위브(CRWV)F2Q 리뷰: 마진과 가동 전력(Active Power)의 상회 실적, 그리고 DDTL 5.5를 통한 TAM 확대가 향후 연도 전망을 한층 강화; 목표주가 $120으로 상향. 요약 이번 분기 실적에서 투자자들이 가장 주목했던 지표인 마진이 기대를 상회하면서, 강력한 수요 환경이 매출과 RPO뿐 아니라 코어위브를 비롯한 AI 인프라 구축 업체들의 수익성에도 기여한다는 확신을 주었습니다. 다만 JP모건은 분기 실적 자체보다 실적 발표와 컨퍼런스콜 코멘트에서 확인된 장기 전망 관련 긍정 요인들이 더 중요하다고 보고 있습니다. 가장 중요한 변화로는 DDTL 5.5의 클로징이 꼽힙니다. 이를 통해 기존 통상 5년이었던 계약 기간보다 짧은 고객 계약에 대해서도 자산담보부 금융을 활용할 수 있는 길이 열렸으며, 결과적으로

12 Aug 2026, 04:13 UTC477 views2 reactionsread 12 August 2026
Forwarded from @kkkontempPhoto

반도체 투자 안전지대 진입중 차트: SMH 반도체 ETF 변동성 지수

2

12 Aug 2026, 02:55 UTC≈1,470 views9 reactionsread 12 August 2026
Forwarded from @ToEllisIsland

[단독]싱가포르 테마섹, 삼전닉스 담는다…'K증시 첫 투자' https://view.asiae.co.kr/article/2026081210232989087

🔥72

11 Aug 2026, 23:45 UTC≈1,300 views2 reactionsread 12 August 2026
Forwarded from @insidertracking

코어위브(CoreWeave, CRWV) Q2 2026 어닝콜 요약 🟢 긍정 요인: • 폭발적인 매출 성장과 대규모 백로그 확보. 2분기 매출은 26억달러로 전년 대비 112%, 전분기 대비 24% 증가 기록. 수주잔고(Backlog)는 1,040억달러까지 확대됐으며, 3분기 초에도 250억달러 이상의 신규 고객 계약을 추가 확보. • 수익성 개선과 운영 레버리지 확대. 조정 영업이익은 1억2,800만달러로 개선됐고, 조정 EBITDA는 15억달러를 기록하며 EBITDA 마진 59% 달성. 회사는 3~4분기에도 순차적인 마진 확대를 전망. • 전력 및 AI 인프라 확대. 2분기 말 가동 전력은 1.5GW에 도달했고, 계약 전력은 분기 이후 4.2GW까지 확대. 2030년까지 최소 8GW 확보 목표를 유지하며 AI 인프라 공급능력 지속 확

2

11 Aug 2026, 23:41 UTC890 views6 reactionsread 12 August 2026
Forwarded from @cahier_de_market

* 매우 중요한 내용이 많이 나온 Cantor의 FMS 리뷰 - "비트 수요가 공급을 5~10%포인트 상회하며 이 격차가 이번 10년 내내 지속될 것"이라는 언급 - 컨센서스는 향후 2개 분기 내 메모리 가격 정점을 예상하고 있지만, 업계 관계자들과의 펀더멘털 논의는 전혀 다른 이야기를 전하고 있음 - (루빈울트라의 HBM) 디스펙과 관련해서는 투자자들이 원인을 잘못 해석하고 있음. 이는 전적으로 공급 가용성의 문제이지 수요 파괴가 아님 - HBM4 가격계약 : SK하이닉스가 엔비디아에 GB당 32달러, 브로드컴에 36달러, AMD에 40달러로 계약을 확정한 것으로 파악 - 트렌드포스는 낸드에 대해 27년 하반기부터 가격하락을 예상했는데, 그러나 Cantor의 대화는 상당히 긍정적이었고 부정적 데이터 포인트는 어디에서도 찾을 수

🔥5💩1

Showing the 12 most recent of 51 posts we hold for @triple_stock. 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.

Citation-graph rank

Citation-graph rank — 658,722 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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 1 registered channel — 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

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

“트리플 아이 - Insight Information Indepth” (@triple_stock), 12,674 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/triple_stock.

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.