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Channel

퀀텀 알고리즘

@quantum_ALGO

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

7,549subscribers

+70 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001185561205
TypeChannel
Username@quantum_ALGO
Created8 January 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live27 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 27 September 2026
On Telegramt.me/quantum_ALGO

Topic

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 why it has no browse page of its own yet.

Growth

7,4787,5527,5156 August 2026 — 7,479 subscribers6 August 2026 — 7,479 subscribers9 August 2026 — 7,481 subscribers13 August 2026 — 7,478 subscribers19 August 2026 — 7,482 subscribers22 August 2026 — 7,485 subscribers25 August 2026 — 7,483 subscribers31 August 2026 — 7,479 subscribers3 September 2026 — 7,482 subscribers9 September 2026 — 7,508 subscribers13 September 2026 — 7,538 subscribers17 September 2026 — 7,552 subscribers27 September 2026 — 7,549 subscribers7,5496 August 202627 September 2026
13 measurements spanning 52 days, net +70. 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 7,467–7,563 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Sept 2026, 01:377,549-3
17 Sept 2026, 10:587,552+14
13 Sept 2026, 06:587,538+30
9 Sept 2026, 04:387,508+26
3 Sept 2026, 12:417,482+3
31 Aug 2026, 04:557,479-4
25 Aug 2026, 08:277,483-2
22 Aug 2026, 15:537,485+3
19 Aug 2026, 05:267,482+4
13 Aug 2026, 05:157,478-3
9 Aug 2026, 19:217,481+2
6 Aug 2026, 11:007,479no change
6 Aug 2026, 10:317,479first reading

Engagement

240 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 17 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.17%
avg views ÷ 7,549 subscribers
Avg views / post
315
11 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
11
of 240 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
WindowRolling 30 days · latest post in window 28 August 2026
Posts held240 (6 August 2026 – 28 August 2026)
Views total3,465
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 22:30 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

52 reactions across 33 posts, in 4 distinct kinds. The most used accounts for 71.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3771.2%
👍1223.1%
😱23.85%
🥰11.92%

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 39 of the 240 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 52 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 240 most recent posts we hold, published 6 August 2026 to 28 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

28 Aug 2026, 22:14 UTC60 viewsread 28 August 2026

'매파 워시'에 美 선물시장 9월 '금리 인상' 베팅 40%대로 '쑥' https://news.einfomax.co.kr/news/articleView.html?idxno=4432458

28 Aug 2026, 22:01 UTC87 viewsread 28 August 2026

워시 연준의장 "美 물가지표 더욱 우려"…추가 긴축 시사(종합2보) https://naver.me/xB7kvDU6

28 Aug 2026, 11:35 UTC358 viewsread 28 August 2026

인플레 위험 경고한 美연준 위원들… 금리 인상 vs 동결 엇갈려 https://naver.me/FJO0eZ80

28 Aug 2026, 11:13 UTC377 viewsread 28 August 2026

오픈AI·앤트로픽 등 118개 빅테크 "AI發 보안 위협 시간 문제" https://naver.me/Gqfwaage

28 Aug 2026, 10:47 UTC351 viewsread 28 August 2026

'적이자 친구' 메타-앤트로픽… "앤트로픽 최대 고객은 메타" https://naver.me/G9UXdIxw

28 Aug 2026, 10:22 UTC378 viewsread 28 August 2026

“시총 960조원 증발” 잘나가던 구글에 무슨 일 https://naver.me/xsZ6aYNM

28 Aug 2026, 10:01 UTC342 viewsread 28 August 2026

AI 반도체 훈풍에 파운드리 시장 29% 성장…1위는 대만 TSMC https://naver.me/5xgG1qog

28 Aug 2026, 09:23 UTC347 viewsread 28 August 2026

[비즈톡톡] 아마존 넘어 세포라·타깃 매대로… 美 유통공룡 진출 확장하는 K뷰티 https://naver.me/5nhZd3EX

28 Aug 2026, 08:51 UTC364 viewsread 28 August 2026

잘나가는 K-뷰티 이젠 골라 담는다…더마·향수·웰니스 전문관 세분화 https://naver.me/5B0Jyj6q

28 Aug 2026, 08:24 UTC392 viewsread 28 August 2026

"국민연금 어마어마하게 벌었네" 상반기에만 408조 '역대최고' https://naver.me/GGG62R58

28 Aug 2026, 08:00 UTC409 viewsread 28 August 2026

즈푸, 중국산 칩만으로 구동되는 AI 모델 출시 https://naver.me/G3vFj2RY

28 Aug 2026, 06:52 UTC467 viewsread 28 August 2026

[단독] 삼성, HBM4 이어 엔비디아 ‘NVHBM’ 선점 https://naver.me/5p0yzj9w

Showing the 12 most recent of 240 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

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.

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 · 22,505
Telegram ranks this channel #3 of 85 here — alongside 84 others — read 20 September 2026
서화백의 그림놀이 🚀
@easobi · 23,597
Telegram ranks this channel #7 of 87 here — alongside 86 others — read 18 September 2026
습관이 부자를 만든다. 🧘
@habit4117 · 27,930
Telegram ranks this channel #8 of 87 here — alongside 86 others — read 10 September 2026
김찰저의 관심과 생각 저장소
@kimcharger · 24,877
Telegram ranks this channel #10 of 88 here — alongside 87 others — read 15 September 2026
하나 중국/신흥국 전략 김경환
@HANAchina · 35,301
Telegram ranks this channel #10 of 92 here — alongside 91 others — read 2 September 2026
⚡️번개맞은뉴스 - 상위2% 주식텔레그램 채널
@stock_messenger · 25,581
Telegram ranks this channel #12 of 90 here — alongside 89 others — read 14 September 2026
선진짱 주식공부방
@sunstudy1234 · 54,428
Telegram ranks this channel #12 of 89 here — alongside 88 others — read 2 September 2026
그로쓰리서치(Growth Research) [독립리서치]
@growthresearch · 40,159
Telegram ranks this channel #13 of 90 here — alongside 89 others — read 2 September 2026
YIELD & SPREAD
@yieldnspread · 22,018
Telegram ranks this channel #14 of 89 here — alongside 88 others — read 21 September 2026
오를주식 - 뉴스/경제/주식
@GoUpstock · 20,978
Telegram ranks this channel #16 of 83 here — alongside 82 others — read 25 September 2026
타점 읽어주는 여자(타자)
@tazastock · 40,320
Telegram ranks this channel #16 of 89 here — alongside 88 others — read 2 September 2026
💯똥밭에 굴러도 주식판
@daegurr · 23,375
Telegram ranks this channel #17 of 83 here — alongside 82 others — read 18 September 2026
시황맨의 주식이야기
@shmstory · 38,160
Telegram ranks this channel #17 of 89 here — alongside 88 others — read 2 September 2026
급등일보 미국주식🇺🇸 속보·매크로·리서치
@FastStockNewsUSA · 40,651
Telegram ranks this channel #19 of 89 here — alongside 88 others — read 2 September 2026
루팡
@bornlupin · 48,199
Telegram ranks this channel #20 of 91 here — alongside 90 others — read 2 September 2026
실시간 주식 뉴스
@realtime_stock_news · 37,210
Telegram ranks this channel #21 of 93 here — alongside 92 others — read 2 September 2026
Rafiki research
@rafikiresearch · 20,596
Telegram ranks this channel #22 of 88 here — alongside 87 others — read 26 September 2026
키움증권 미국주식 톡톡
@kwusa · 36,480
Telegram ranks this channel #22 of 92 here — alongside 91 others — read 2 September 2026
주식 급등일보🚀급등테마·대장주 탐색기 | Korean Stocks
@FastStockNews · 128,921
Telegram ranks this channel #22 of 92 here — alongside 91 others — read 2 September 2026
AWAKE - 52주 신고가 모니터링
@awake_realtimeCheck · 22,632
Telegram ranks this channel #23 of 92 here — alongside 91 others — read 20 September 2026
제약/바이오/미용 원리버 Oneriver
@pharmbiohana · 29,812
Telegram ranks this channel #23 of 89 here — alongside 88 others — read 7 September 2026
도PB의 생존투자
@survival_DoPB · 22,243
Telegram ranks this channel #24 of 90 here — alongside 89 others — read 21 September 2026
엄브렐라리서치 Jay의 주식투자교실
@Jstockclass · 26,067
Telegram ranks this channel #24 of 90 here — alongside 89 others — read 13 September 2026
시장 이야기 by 제이슨
@bumgore · 35,352
Telegram ranks this channel #25 of 89 here — alongside 88 others — read 2 September 2026

This channel appears in 37 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 27 September 2026 — this entry's latest reading, not the date you are reading this.

“퀀텀 알고리즘” (@quantum_ALGO), 7,549 subscribers as measured 27 September 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.