National news — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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 2 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. 6 of the 6 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 78 comparable posts for this entry, running 6 August 2026 to 10 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_copy, last confirmed 11 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
24 measurements spanning 95 days, net +126. 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 7,458–7,631 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
9 Nov 2026, 14:59
7,605
-6
6 Nov 2026, 02:48
7,611
+1
2 Nov 2026, 22:28
7,610
+2
31 Oct 2026, 04:41
7,608
+9
28 Oct 2026, 05:30
7,599
-2
24 Oct 2026, 19:25
7,601
-5
21 Oct 2026, 15:17
7,606
+3
18 Oct 2026, 10:37
7,603
-5
15 Oct 2026, 03:11
7,608
+5
12 Oct 2026, 01:40
7,603
+51
5 Oct 2026, 06:21
7,552
+3
27 Sept 2026, 01:37
7,549
-3
17 Sept 2026, 10:58
7,552
+14
13 Sept 2026, 06:58
7,538
+30
9 Sept 2026, 04:38
7,508
+26
3 Sept 2026, 12:41
7,482
+3
31 Aug 2026, 04:55
7,479
-4
25 Aug 2026, 08:27
7,483
-2
22 Aug 2026, 15:53
7,485
+3
19 Aug 2026, 05:26
7,482
first reading
Engagement
527 posts held, back to 6 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 33 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.32%
avg views ÷ 7,605 subscribers
Avg views / post
404
287 posts measured
Reaction rate
0.16%
reactions ÷ views · ER floor
Posts in window
287
of 527 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 25 of 287 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 11 November 2026
Posts held
527 (6 August 2026 – 11 November 2026)
Views total
116,085
Reactions total
21
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 01:57 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
≈21,100
Videos
≈8
Links
≈77,700
Lifetime counters from Telegram’s own channel header, read 11 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
73 reactions across 53 posts, in 7 distinct kinds. The most used accounts for 72.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
53
72.6%
👍
12
16.4%
👏
2
2.74%
🔥
2
2.74%
😱
2
2.74%
💯
1
1.37%
🥰
1
1.37%
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 64 of the 527 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 73 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 527 most recent posts we hold, published 6 August 2026 to 11 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: 12 of 287 posts held from the last 30 days (4.18%) 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).
[메리츠증권 김선우, 김동관]
[2027 Outlook 15] 반도체/IT소재장비/디스플레이
[Prolonged Upcycle]
안녕하세요, 메리츠 김선우/김동관입니다. 연간 전망 인뎁스 자료입니다.
최근 3년 메리츠 반도체 연간전망 제목은 아래와 같습니다.
25년전망: Disciplined Upcycle [=최대 생산자의 투자 축소]
26년전망: Accererating Upcycle [=경쟁적 구매로 인한 판가 급등]
이제 27년: Prolonged Upcycle [=여전한 공급 제약 속 지속적 개선]
7여년의 AI 압축 수요가 경쟁적으로 발생하며, 메모리 판가의 급등을 야기했습니다. 하지만 과거의 고점형성/사이클 반락 요인은 찾아보기 힘든 상황입니다.
오히려 AGI를 향한 경쟁적 투자에서 야기될 생각보다 강하고 끄떡없는 업사이클…
[NH/윤진호] 로보틱스▣ NH/로
[Web발신]
[NH/윤진호] 로보틱스
▣ NH/로보틱스 -
THE HUMANOIDS, 메이드인코리아
▶ https://m.nhsec.com/c/qa2ua
안녕하세요. NH투자증권 로보틱스 담당 윤진호 연구원입니다. 글로벌 휴머노이드 양산 확대와 CES2027을 앞둔 시점에서 Initiation 보고서를 통해 ’K-휴머노이드를 모아가야하는 이유‘에 대해 작성하였습니다.
여전히 휴머노이드가 먼 미래의 혁신으로 여겨지고 있습니다. 하지만 ’27년 미중 패권전쟁에 따라 한국이 전략적 요충지로 부상하고, 로봇 지능의 고도화가 나타나며 의심이 기대감으로 바뀔 것이라 확신합니다. 로보틱스의 가장 큰 변곡점이 될 2027년, 투자 판단에 도움이 될 수 있는 보고서로 찾아뵙겠습니다.
▣ Top Picks
▶ 로…
[NH/안재민] NHN■ NHN - 공급자
[Web발신]
[NH/안재민] NHN
■ NHN - 공급자 우위의 데이터센터 시장
▶ 2028년까지 큰 폭의 실적 성장 기대
- NHN에 대한 투자의견 Buy를 유지하고, 목표주가를 기존 85,000원에서 110,000원으로 상향. 2027년말 100MW 규모의 AI 데이터센터를 완공해 GPU 기반 인프라를 확장할 예정. 동사의 새로운 성장 동력인 네오클라우드 사업이 본격적인 궤도에 오를 전망
- AI 인프라 사업으로 2027년 큰 폭의 실적 성장을 기대. 2027년 실적은 매출액 3.4조원(+13.1% y-y), 영업이익 2,813억원(+35.2% y-y)로 추정. 100MW가 본격 가동될 2028년까지 실적 고성장 예상. 2028년 매출액 4.1조원(+19.9% y-y), 영업이익 3,50…
[미래에셋 김승민] 셀트리온(068270)
Golden Decade, 셀트리온의 시간
▶️투자의견 매수, 목표주가 35만원(기존 28만원)으로 상향
목표주가는 27F EBITDA 2조 8,207억원에 타깃 EV/EBITDA 29배를 적용했다. 신규 제품 성장 및 믹스 개선 통한 구조적 수익성 개선을 반영해 27F 매출액과 영업이익 추정치를 각각 +16%, +22% 상향 조정했다. 타깃 멀티플은 산도즈 바이오시밀러 사업의 내재 멀티플 25배 대비 +15% 프리미엄을 적용한 값이다. 현재 주가는 2027F EV/EBITDA 18배 수준에 거래되고 있으며 산도즈 대비 저평가되어 있다.
▶️바이오시밀러 골든 디케이드, 셀트리온의 시간
산도즈 주가는 신고가를 기록하며 바이오시밀러 비즈니스 재평가를 보여주고 있다. 산도즈는 26~40년 바이오시밀러 …
[교보증권 제약/바이오/의료기기 정희령]
■ 한올바이오파마(009420): FcRn으로 류마티스를 누르다
- 당사는 IMVT-1402의 D2T RA Period2에서 600mg 투여군 내 주평가지표를 충족했으며, 2027년 임상 모멘텀이 다수 존재함에도 이뮤노반트 시가총액 대비 24.9% 수준으로 매력적 매수 구간으로 판단합니다.
■ IMVT-1402의 D2T RA Period2 데이터 발표
- 600mg 투여군 기준 ACR 반응률 92.5% 기록하며 위약군 75.6% 대비 개선
■ 매력적 매수 구간이다
- 주가는 최근 임상중단 및 개발 중단으로 D2T RA 임상 Period1 결과 발표 전으로 회귀했으며, 이번 데이터 발표에도 이뮤노반트 시가총액 대비 24.9% 수준
보고서 링크:
https://www.iprovest.com/uplo…
한양증권 스몰캡 Analyst 이준석
[디케이티] 디케이티의 새로운 성장 패러다임
투자의견: N.R
목표주가 : -
현재주가(11/10): 23,400원
Upside : -
성장의 윤곽은 뚜렷해지고
동사의 2026년 예상 실적은 매출액 5,453억 원(+28.1% YoY), 영업이익 361억 원(+67.3% YoY)을 기록할 것으로 전망한다. 기존 모바일 사업의 계절적 변동성에도 불구하고 ESS BMS와 전장사업의 공급 확대가 실적 성장을 이끌고 있다. 특히 ESS BMS는 국내 배터리 3사의 공급망 진입을 기반으로 고객사 다변화가 본격화되고 있으며, 차량용 OLED와 무선충전기(WPC) 역시 신규 완성차 업체향 공급 개시와 기존 고객사의 물량 증가가 맞물리고 있다. 이에 따라 2027년 ESS BMS, 차량용 OLED, WPC의 예…
✅ 호텔업종 강세 지속 (2026년11월11일)
1) 오늘 Dow Jones US Hotels Index가 +2.21% 상승하며 역사적 고점 경신
2) Hyatt Hotels(+3.15%), Marriott International(+2.66%), Hilton Worldwide Holdings(+1.75%) 주요 호텔주 동반 상승
3) 중동 리스크 완화와 유가하락으로 호텔 수요 개선 기대감 반영
4) 최근 호텔주 강세는 AI에이전트가 OTA(Online Travel Agency: 익스피디아, Booking, 아고다, 트립)를 거치지 않고 호텔로 직접 예약을 하면서 OTA 수수료 절감에 따른 수익성 개선 가능성이 주가에 반영
5) 호텔업종 밸류에이션은 부담스러운 수준이나 "AI에이전트" 예약 활성화에 따른 수익성 개선이 확실한 호텔주…
‘빅스텝’ 경계에 나스닥 0.74%↓…엔비디아 이틀간 9.6% 급락[월스트리트in]
https://naver.me/xaTMk5SH
Showing the 12 most recent of 527 posts we hold for @quantum_ALGO. 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.
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.
카이에 de market @cahier_de_market · 23,076 Telegram ranks this channel #3 of 85 here — alongside 84 others — read 20 September 2026
KK Kontemporaries @kkkontemp · 21,169 Telegram ranks this channel #6 of 84 here — alongside 83 others — read 30 September 2026
서화백의 그림놀이 🚀 @easobi · 23,386 Telegram ranks this channel #7 of 87 here — alongside 86 others — read 18 September 2026
습관이 부자를 만든다. 🧘 @habit4117 · 28,313 Telegram ranks this channel #8 of 87 here — alongside 86 others — read 10 September 2026
김찰저의 관심과 생각 저장소 @kimcharger · 25,264 Telegram ranks this channel #10 of 88 here — alongside 87 others — read 15 September 2026
하나 중국/신흥국 전략 김경환 @HANAchina · 35,273 Telegram ranks this channel #10 of 92 here — alongside 91 others — read 2 September 2026
회색인간의 매크로 + 투자 @mistergray_11 · 19,792 Telegram ranks this channel #11 of 78 here — alongside 77 others — read 1 October 2026
간절한 투자스터디카페 @desperatestudycafe · 18,510 Telegram ranks this channel #12 of 83 here — alongside 82 others — read 5 October 2026
⚡️번개맞은뉴스 - 상위2% 주식텔레그램 채널 @stock_messenger · 25,226 Telegram ranks this channel #12 of 90 here — alongside 89 others — read 14 September 2026
선진짱 주식공부방 @sunstudy1111 · 55,188 Telegram ranks this channel #12 of 89 here — alongside 88 others — read 2 September 2026
[하나증권 ETF] 박승진 @globaletfi · 20,575 Telegram ranks this channel #13 of 86 here — alongside 85 others — read 28 September 2026
그로쓰리서치(Growth Research) [독립리서치] @growthresearch · 40,090 Telegram ranks this channel #13 of 90 here — alongside 89 others — read 2 September 2026
YIELD & SPREAD @yieldnspread · 22,089 Telegram ranks this channel #14 of 89 here — alongside 88 others — read 21 September 2026
오를주식 - 뉴스/경제/주식 @GoUpstock · 21,089 Telegram ranks this channel #16 of 83 here — alongside 82 others — read 25 September 2026
타점 읽어주는 여자(타자) @tazastock · 40,945 Telegram ranks this channel #16 of 89 here — alongside 88 others — read 2 September 2026
💯똥밭에 굴러도 주식판 @daegurr · 23,776 Telegram ranks this channel #17 of 83 here — alongside 82 others — read 18 September 2026
시황맨의 주식이야기 @shmstory · 39,582 Telegram ranks this channel #17 of 89 here — alongside 88 others — read 2 September 2026
급등일보 미국주식🇺🇸 속보·매크로·리서치 @FastStockNewsUSA · 41,019 Telegram ranks this channel #19 of 89 here — alongside 88 others — read 2 September 2026
기술적 분석으로 보는 주식시장 (by 소라게아빠) @hermitcrab41_1 · 21,453 Telegram ranks this channel #20 of 81 here — alongside 80 others — read 28 September 2026
루팡 @bornlupin · 49,242 Telegram ranks this channel #20 of 91 here — alongside 90 others — read 2 September 2026
실시간 주식 뉴스 @realtime_stock_news · 36,964 Telegram ranks this channel #21 of 93 here — alongside 92 others — read 2 September 2026
Rafiki research @rafikiresearch · 20,654 Telegram ranks this channel #22 of 88 here — alongside 87 others — read 26 September 2026
키움증권 미국주식 톡톡 @kwusa · 36,213 Telegram ranks this channel #22 of 92 here — alongside 91 others — read 2 September 2026
주식 급등일보🚀급등테마·대장주 탐색기 | Korean Stocks @FastStockNews · 128,822 Telegram ranks this channel #22 of 92 here — alongside 91 others — read 2 September 2026
This channel appears in 43 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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“퀀텀 알고리즘” (@quantum_ALGO), 7,605 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/quantum_ALGO.
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.