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

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 |
|---|---|
| Type | Channel |
| Username | @quantum_ALGO |
| Created | 8 January 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 27 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 27 September 2026 |
| On Telegram | t.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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 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 | +4 |
| 13 Aug 2026, 05:15 | 7,478 | -3 |
| 9 Aug 2026, 19:21 | 7,481 | +2 |
| 6 Aug 2026, 11:00 | 7,479 | no change |
| 6 Aug 2026, 10:31 | 7,479 | first 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.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 240 (6 August 2026 – 28 August 2026) |
| Views total | 3,465 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 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.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 37 | 71.2% | |
| 👍 | 12 | 23.1% | |
| 😱 | 2 | 3.85% | |
| 🥰 | 1 | 1.92% |
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
워시 연준의장 "美 물가지표 더욱 우려"…추가 긴축 시사(종합2보) https://naver.me/xB7kvDU6
인플레 위험 경고한 美연준 위원들… 금리 인상 vs 동결 엇갈려 https://naver.me/FJO0eZ80
오픈AI·앤트로픽 등 118개 빅테크 "AI發 보안 위협 시간 문제" https://naver.me/Gqfwaage
'적이자 친구' 메타-앤트로픽… "앤트로픽 최대 고객은 메타" https://naver.me/G9UXdIxw
“시총 960조원 증발” 잘나가던 구글에 무슨 일 https://naver.me/xsZ6aYNM
AI 반도체 훈풍에 파운드리 시장 29% 성장…1위는 대만 TSMC https://naver.me/5xgG1qog
[비즈톡톡] 아마존 넘어 세포라·타깃 매대로… 美 유통공룡 진출 확장하는 K뷰티 https://naver.me/5nhZd3EX
잘나가는 K-뷰티 이젠 골라 담는다…더마·향수·웰니스 전문관 세분화 https://naver.me/5B0Jyj6q
"국민연금 어마어마하게 벌었네" 상반기에만 408조 '역대최고' https://naver.me/GGG62R58
즈푸, 중국산 칩만으로 구동되는 AI 모델 출시 https://naver.me/G3vFj2RY
[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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
@Jayy2349 · 903 posts호그니엘
@hogniel · 15,3153 posts재간둥이 송선생
@songjongsik · 18,1603 posts반붐온? 방붐온?
@cpshelter · 5,4272 posts트렌드 세터 역사적 신고가&52주 신고가
@trendsetterbestchart · 5262 postsBrain and Body Research
@Brain_And_Body_Research · 34,9741 post조기주식회 공부방
@EarlyStock1 · 24,4321 postAPE Research
@aper_channel · 2691 post뺀지뤼의 SKLab.(스크랩)
@bbanjil · 10,7321 post가치투자클럽
@corevalue · 67,5051 post랜디의 선건전곤(旋乾轉坤)
@flip_theUniverse · 4651 post메모장
@idea_memo · 8,8531 post점프
@jump0000 · 3,1711 post힙한 펭미업의 1인칭 시점
@pengmeup · 9,1291 postB
@santarallys · 11 post
Republishes
Channels on the register whose posts this channel has forwarded.
@merITz_tech · 24,0594 posts《하나 주식전략》 이재만과 이경수
@HANAStrategy · 19,0283 posts다올투자증권 리서치센터
@daolresearch · 4,5903 posts[한투 테크팀] 남채민/황준태/김정찬/김연준
@KISemicon · 15,1922 posts교보증권 리서치센터
@KyoboRSC · 8,1572 posts교보 음식료/화장품 권우정
@kyobofnbcosmetic · 5,8152 posts[신한 리서치본부] 화장품/의복
@shinhanconsumer · 1,6592 posts키움증권 리서치센터
@KiwoomResearch · 19,8411 post[대신증권 리서치]
@dsrsc · 1,9721 post유진투자증권 산업분석실 테크/인프라팀
@eugene2team · 6,8971 post[삼성리서치] 테크는 역시 삼성증권
@jw_tech · 14,0681 postKB Research 스몰캡
@kb_smallcap · 1,7521 post키움 반도체,이차전지 PRIME☀️
@kiwoom_semibat · 12,4521 postDS투자증권 방산 강태호
@kthdefense · 3471 post게이머 강석오 [Gamer Seoko Kang]
@seokokang · 6,1911 post신한 리서치
@shinhanresearch · 21,6641 post
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.
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.
@cahier_de_market · 22,505
Telegram ranks this channel #3 of 85 here — alongside 84 others — read 20 September 2026
@easobi · 23,597
Telegram ranks this channel #7 of 87 here — alongside 86 others — read 18 September 2026
@habit4117 · 27,930
Telegram ranks this channel #8 of 87 here — alongside 86 others — read 10 September 2026
@kimcharger · 24,877
Telegram ranks this channel #10 of 88 here — alongside 87 others — read 15 September 2026
@HANAchina · 35,301
Telegram ranks this channel #10 of 92 here — alongside 91 others — read 2 September 2026
@stock_messenger · 25,581
Telegram ranks this channel #12 of 90 here — alongside 89 others — read 14 September 2026
@sunstudy1234 · 54,428
Telegram ranks this channel #12 of 89 here — alongside 88 others — read 2 September 2026
@growthresearch · 40,159
Telegram ranks this channel #13 of 90 here — alongside 89 others — read 2 September 2026
@yieldnspread · 22,018
Telegram ranks this channel #14 of 89 here — alongside 88 others — read 21 September 2026
@GoUpstock · 20,978
Telegram ranks this channel #16 of 83 here — alongside 82 others — read 25 September 2026
@tazastock · 40,320
Telegram ranks this channel #16 of 89 here — alongside 88 others — read 2 September 2026
@daegurr · 23,375
Telegram ranks this channel #17 of 83 here — alongside 82 others — read 18 September 2026
@shmstory · 38,160
Telegram ranks this channel #17 of 89 here — alongside 88 others — read 2 September 2026
@FastStockNewsUSA · 40,651
Telegram ranks this channel #19 of 89 here — alongside 88 others — read 2 September 2026
@bornlupin · 48,199
Telegram ranks this channel #20 of 91 here — alongside 90 others — read 2 September 2026
@realtime_stock_news · 37,210
Telegram ranks this channel #21 of 93 here — alongside 92 others — read 2 September 2026
@rafikiresearch · 20,596
Telegram ranks this channel #22 of 88 here — alongside 87 others — read 26 September 2026
@kwusa · 36,480
Telegram ranks this channel #22 of 92 here — alongside 91 others — read 2 September 2026
@FastStockNews · 128,921
Telegram ranks this channel #22 of 92 here — alongside 91 others — read 2 September 2026
@awake_realtimeCheck · 22,632
Telegram ranks this channel #23 of 92 here — alongside 91 others — read 20 September 2026
@pharmbiohana · 29,812
Telegram ranks this channel #23 of 89 here — alongside 88 others — read 7 September 2026
@survival_DoPB · 22,243
Telegram ranks this channel #24 of 90 here — alongside 89 others — read 21 September 2026
@Jstockclass · 26,067
Telegram ranks this channel #24 of 90 here — alongside 89 others — read 13 September 2026
@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.