Telegram RegisterThe public register of Telegram

Channel

에테르의 일본&미국 리서치

@aetherjapanresearch

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

33,855subscribers

+268 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001909745040
TypeChannel
Username@aetherjapanresearch
Description일본, 미국을 중심으로 관심있는 정보를 저장하는 곳입니다. 한국에서 잘 보지 못하는 일본의 경제상황, 다양한 회사들을 찾아 볼 수 있는 채널이에요. 본 채널은 단순히 저의 의견을 적고, 이를 기록하는 용도입니다. 제가 언급하는 종목들은 매수-매도 등 투자권유를 의미하는게 아닙니다. 해당 게시물의 내용은 부정확할 수 있으며 매매에 따른 손실은 거래 당사자의 책임입니다. 해당 게시물의 내용은 어떤 경우에도 법적 근거로 사용될 수 없습니다.
Created5 May 2023measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/aetherjapanresearch

Growth

33,58733,85533,7216 August 2026 — 33,587 subscribers6 August 2026 — 33,598 subscribers7 August 2026 — 33,649 subscribers8 August 2026 — 33,659 subscribers9 August 2026 — 33,729 subscribers10 August 2026 — 33,761 subscribers11 August 2026 — 33,763 subscribers12 August 2026 — 33,815 subscribers14 August 2026 — 33,855 subscribers6 August 202614 August 2026
9 measurements spanning 8 days, net +268. 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 33,547–33,895 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 01:1333,855+40
12 Aug 2026, 22:3333,815+52
11 Aug 2026, 19:1833,763+2
10 Aug 2026, 20:0433,761+32
9 Aug 2026, 19:5133,729+70
8 Aug 2026, 21:3833,659+10
7 Aug 2026, 19:1333,649+51
6 Aug 2026, 19:2133,598+11
6 Aug 2026, 02:4733,587first reading

Engagement

139 posts held, back to 5 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 20 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
14.2%
avg views ÷ 33,855 subscribers
Avg views / post
4,810
139 posts measured
Reaction rate
0.446%
reactions ÷ views · ER floor
Posts in window
139
of 139 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 13 August 2026
Posts held139 (5 August 202613 August 2026)
Views total668,470
Reactions total2,982
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 13:45 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
12,400
Videos
361
Links
5,400

Lifetime counters from Telegram’s own channel header, read 14 August 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.

Video runtime
7s
Average length
7s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

2,822 reactions across 120 posts, in 39 distinct kinds. The most used accounts for 29.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
83929.7%
🖕39113.9%
🤮2749.71%
👍2458.68%
😱2157.62%
😁1946.87%
🤣1736.13%
🤬572.02%
🔥561.98%
👏531.88%
😭471.67%
🤷‍♂451.59%
🤔431.52%
😢351.24%
🦄280.992%
🤯180.638%
🤡160.567%
🎉120.425%
😡120.425%
👻110.39%
19 further kinds582.06%

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 139 of the 139 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 2,982reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 139 most recent posts we hold, published 5 August 2026 to 13 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 139 we hold a reading for · 0.7%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @aetherjapanresearch. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 139 most recent posts we hold for this entry, published 5 August 2026 to 13 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

13 Aug 2026, 16:16 UTC≈4,780 views120 reactionsread 14 August 2026

14일~16일은 휴가로 쉽니다

83😢21🎉7😭7🦄2

13 Aug 2026, 15:08 UTC≈5,370 views39 reactionsread 14 August 2026

SanDisk $SNDK가 FY28~FY30 목표를 제시했습니다. 10% 중후반대 매출 성장 Non-GAAP 총이익률 약 80% 조정 FCF 마진 약 50% 또한 회사는 잉여 현금의 100%를 주주에게 환원할 것으로 예상하고 있습니다. https://twitter.com/wallstengine/status/2087917383008805046

👍317🦄1

13 Aug 2026, 14:44 UTC≈5,720 views32 reactionsread 14 August 2026
Photo

진짜닉스 잘 오르네요

27🤣4🦄1

13 Aug 2026, 13:46 UTC≈5,170 views10 reactionsread 14 August 2026

Citi) Cerebras Systems Inc (CBRS.O)CY27 코어 매출 3배 성장 전망, 매수 의견 유지. TP $320(하향) 씨티의 견해 Cerebras는 강력한 고속 추론(fast inference) 수요를 반영하여 FY26 코어 매출/총이익률/영업이익률 가이던스를 재차 상향했으나, 일부 시스템을 클라우드 고객사로부터 다시 임차하면서 총이익률 저점이 2분기에서 3분기로 이연되었습니다. 다만 경영진은 2027년 코어 매출 3배 성장, 250억 달러 규모의 RPO, 그리고 AWS 및 AMD와의 추가적인 협업 파이프라인에 대해 언급했습니다. 근본적으로 고속 추론 시장에서 Cerebras가 선점 우위를 갖고 있다는 당사의 논지는 그대로 유효합니다. 당사는 FY26/27/28 EPS를 각각 +40센트/+44센트/-1센트 조정하며, 목

8😁2

13 Aug 2026, 12:33 UTC≈3,300 views21 reactionsread 14 August 2026
Forwarded from @insidertrackingPhoto

🚨 경제 지표 발표 🚨 ━━━━━━━━━━━━━━━ 🔵 미국 생산자물가지수 (PPI MoM, 7월) ㆍ실제치(Actual): 0.0% 🔵 ㆍ예상치(Forecast): +0.2% ㆍ이전치(Previous): -0.1% ━━━━━━━━━━━━━━━ 🔵 미국 신규 실업수당청구건수 (Initial Jobless Claims) ㆍ실제치(Actual): 209,000건 🔵 ㆍ예상치(Forecast): 202,000건 ㆍ이전치(Previous): 200,000건 ━━━━━━━━━━━━━━━ 📌 요약 ㆍ생산자물가지수가 예상치를 하회하며 생산단계 인플레이션 압력 완화 🟢 ㆍ신규 실업수당청구건수는 예상보다 증가하며 노동시장 완화 신호 🟢 ㆍ물가와 고용 지표 모두 연준의 통화정책 완화에 우호적인 방향 🟢 ㆍ전반적으로 시장의 금리 인하 기대를 지지

👍136😁2

13 Aug 2026, 12:31 UTC≈3,860 views1 reactionsread 14 August 2026
Photo

딥시크 v4 Pro도 공개되었습니다. https://x.com/deepseek_ai/status/2087864585504305397?s=20

🤔1

13 Aug 2026, 12:05 UTC≈4,250 views63 reactionsread 14 August 2026
Photo

23년 11월에 팔라고 하셨는데

🤣44🖕7👻6🤬3😭3

13 Aug 2026, 12:05 UTC≈2,820 views77 reactionsread 14 August 2026
Forwarded from @habit4117Photo

SK하이닉스 매도 하라 🤫

🤣49🖕19👏3🔥3🤬1🤷‍♀1😁1

13 Aug 2026, 11:58 UTC≈3,880 views6 reactionsread 14 August 2026
Photo

국민연금 미국 주식 주요 종목 매수 확대 [주요 기술주] 엔비디아 ➔ 116만7,483주 추가 매수, 총 5,127만4,183주·평가액 89억4,222만 달러 보유 애플 ➔ 82만4,459주 추가 매수, 총 3,101만9,702주·평가액 78억7,249만 달러 보유 마이크로소프트 ➔ 40만8,580주 추가 매수, 총 1,491만7,409주·평가액 55억2,198만 달러 보유 아마존 ➔ 59만9,005주 추가 매수, 총 2,044만2,324주·평가액 42억5,752만 달러 보유 알파벳 ➔ GOOGL 32만4,727주·GOOG 22만592주 추가 매수 브로드컴 ➔ 26만5,522주 추가 매수, 총 938만2,706주·평가액 29억404만 달러 보유 메타 ➔ 8만7,681주 추가 매수, 총 469만5,451주·평가액 26억8,641만 달러 보유

6

13 Aug 2026, 11:57 UTC≈2,730 views2 reactionsread 14 August 2026
Photo

JP모건) 오라클(ORCL); 상당한 자본 소요에도 불구하고 밸류에이션 리레이팅과 빠른 스케일업이 상승 여력을 이끌 것으로 판단, 비중확대(OW) 의견 및 2027년 12월 목표주가 200달러(기존 26년 목표가 $210) JP모건은 오라클에 대해 Overweight 투자의견을 유지하면서 목표주가를 2027년 12월 기준 200달러로 설정했습니다(기존 2026년 12월 기준 210달러). 현재 주가 153.28달러 대비 약 30%의 상승 여력을 제시하며, 목표주가는 2028년 프로포마 영업이익 620억 달러 전망에 약 13배의 EV/영업이익 배수를 적용해 산출했습니다. AI 인프라 구축의 자본 집약도와 향후 자본 조달 필요성, 단기 유상증자 우려 등으로 오라클 주가가 AI 인프라 기업군과 엔터프라이즈 소프트웨어 기업군 양쪽 대비 큰 폭의 밸

2

13 Aug 2026, 11:49 UTC≈2,680 views5 reactionsread 14 August 2026
Photo

JP모건) 마이크로소프트; AI 인프라와 코파일럿의 가속화, 그리고 균형 잡힌 믹스가 동종 그룹 내에서 주가를 유리하게 포지셔닝할 것으로 판단, 비중확대(OW) 유지 및 2027년 12월 목표주가 625달러 신규 제시 당사는 MSFT 주식에 대해 2027년 12월 목표주가 625달러를 신규 제시하며, 회사의 성장 전망을 긍정적으로 평가합니다. 당사는 Azure와 M365 커머셜 클라우드 양쪽 모두에서 성장이 가속화될 것으로 보며, AI 인프라 구축이 두 사업 모두의 가속화를 이끄는 핵심 동인이 될 것으로 전망합니다. 코파일럿을 포함한 M365 클라우드 제품이 마이크로소프트 AI 인프라의 내부 고객 역할을 하면서, 회사는 해당 구축을 고마진의 차별화된 애플리케이션 소프트웨어 제공이라는 형태로 활용할 수 있는 좋은 위치에 있으며, 동시에 AI

5

13 Aug 2026, 11:40 UTC≈2,800 views6 reactionsread 14 August 2026

JP모건 코스피 코멘트 한국 – APAC 지역 동료들에 따르면 유동성 측면에서 긍정적인 신호들이 나타나고 있으며, 이는 곧 증시의 상승 여력으로 이어질 수 있습니다. 구체적으로는 첫째, 국내 증권사들이 신용거래(빚투) 한도를 다시 늘리고 있다는 점, 둘째, 외국인 투자자들이 활용할 수 있는 스왑 한도(외환 스왑을 통한 자금 조달 여력)가 확대되고 있다는 점, 셋째, 변동성이 낮아지면서 변동성 수준에 따라 기계적으로 포지션을 조절하는 시스테매틱 투자자들이 다시 시장으로 돌아오고 있다는 점입니다. 한편 블룸버그에 따르면 한국은 개인 투자자가 레버리지 ETF를 거래하려면 사전에 모의 거래를 이수하도록 의무화할 예정입니다. 환율 변동 효과를 제외한 기준으로 보면, 한국 증시에 투자하는 미국 상장 ETF인 EWY는 이번 달 들어 6.5% 상승한 반면

6

Showing the 12 most recent of 139 posts we hold for @aetherjapanresearch. 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.

Posts edited after publishing

@aetherjapanresearch edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
9 August 2026
Most recent edit
9 August 2026

Citation-graph rank

Citation-graph rank — 13,476 of 1,340,412entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

프리라이프
@free_life59 · 12,527
5 posts
잠실개미&10X’s N.E.R.D.S
@jake8lee · 17,286
5 posts
카이에 de market
@cahier_de_market · 21,805
4 posts
양파농장
@Onionfarmer · 15,986
4 posts
MZ실버만 운동모드 ON
@silver_mansachs · 8,101
4 posts
반붐온? 방붐온?
@cpshelter · 5,326
3 posts
FOMO 4가투
@fourgachi · 8,301
3 posts
가투방(DCTG) 저장소
@gatubang · 14,599
3 posts
AI_news(AI뉴스)
@AI_AppleIntelligence · 2
2 posts
루팡
@bornlupin · 46,914
2 posts
Pluto Research
@hedgehara · 19,172
2 posts
인포마켓 infomarket
@infomarketopen · 8,542
2 posts
인상주의 투자 인생 업그레이드노트
@insangnism · 11,240
2 posts
중도의 투자이야기
@joongdo · 4,128
2 posts
우드스탁
@nangmanjurin · 316
2 posts
채널명 : 할 거 없음😴
@nomoretodo · 921
2 posts
용산의 현인
@petrojimmy · 7,005
2 posts
🥔포테이토 스탁
@potatostocklink · 176
2 posts
BUYagra
@psychotherapy101 · 5,963
2 posts
텐렙
@Ten_level · 17,096
2 posts
트리플 아이 - Insight Information Indepth
@triple_stock · 12,670
2 posts
야자반 - Y.Z. stock
@yaza_stock · 13,139
2 posts
Yeouido Lab_여의도 톺아보기
@Yeouido_Lab · 43,297
2 posts
고인이된 Researchan/디레 😇
@AllroundResearchanCrypto · 1,152
1 post
APE Research
@aper_channel · 272
1 post
BacurasHouse
@BacurasHouse · 722
1 post
은행왕 김뱅커🏦
@banker_kim · 115
1 post
뺀지뤼의 SKLab.(스크랩)
@bbanjil · 10,773
1 post
돼지바
@bbong_tta · 12,698
1 post
공기팡🦄
@bbpang · 356
1 post
벨루가의 주식 헤엄치기
@beluga_investment · 7,252
1 post
64비트사령부⚡️ 🇰🇷🇺🇸
@BTCpentagon · 5,602
1 post
재테크야간자율학습🌗
@capitalmosquito · 4,249
1 post
차분남(차트분석하는남자)
@chavoonnam · 21,512
1 post
[Cash Tree] 코인 차트 정보 관점 공유방 🐳
@crypto_alert_kr · 19
1 post
크립토파즈(Cryptopaz)
@cryptopaz0 · 11,454
1 post
커핑
@cupping86 · 1,284
1 post
상장기업 수사대 ☎️
@cyber_rangers · 17,015
1 post
싸이버트럭
@cybertruck666 · 10,457
1 post
디젠의 트레이딩 일지
@degen2468 · 11,844
1 post
간절한 투자스터디카페
@desperatestudycafe · 18,876
1 post
doreamer의 투자 충전소⛽
@doreamer · 2,476
1 post
다영의 뉴스공장
@dynewscollecters · 2,645
1 post
한걸음_적자생존 기록실
@helpmeonestep · 12,275
1 post
IT의 신 이형수
@hslpartners · 17,631
1 post
조금 느려도 괜찮아
@hyunhee82 · 2
1 post
메모장
@idea_memo · 8,681
1 post
미국 주식 인사이더 🇺🇸 (US Stocks Insider)
@insidertracking · 69,458
1 post
인싸이터(Insight Eater) - 통찰력을 먹고 사는 인싸들 <비상장/VC투자>
@insighteater · 2,987
1 post
투자자윤의 투자일지
@invetyun · 6,461
1 post
제리 Of Wall Street 📈
@JerryofInvestment · 1,805
1 post
주식줍는여인
@jingchopick · 897
1 post
카카오톡으로 하는 주식투자(톡하주)
@jjumsang · 178
1 post
주식스타그램
@jusikstagram · 3,854
1 post
머니보틀
@moneybottle · 15,301
1 post
브로커 앤 뱅커
@moneyspectrum · 2,622
1 post
Back To The Future 디터
@monsjae · 156
1 post
MZ타뇽 긴축모드 ON
@mztanyong · 6,043
1 post
너쟁이의 성실한 추추생활
@nje2e · 8,283
1 post
막스밸류
@paarrrk · 13
1 post
이교수 Memo
@ProfLeeMemo · 3,771
1 post
오모로이 심야식당 深夜食堂
@ShinyaShokudo · 540
1 post
연금술사 트레이딩룸
@stockalchemist · 87
1 post
재야의 괴수들
@stockhasoo · 5,113
1 post
여의도메모리맛집
@tastystock · 2,591
1 post
타점 읽어주는 여자(타자)
@tazastock · 39,718
1 post
운송이의 주식 스터디
@tenbeggers · 273
1 post
🗽엄브렐라(Umbrella Research) 리서치+ 네프콘 옆집부자형 since 2020
@umbrellaresearch · 12,835
1 post
쩜상리서치
@upper_limit_price · 7,980
1 post
좋은 레포트
@valuejh · 4,391
1 post
YIELD & SPREAD
@yieldnspread · 21,713
1 post
인디안 기우제
@zerotoendlessnumbers · 329
1 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 13 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.

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

“에테르의 일본&미국 리서치” (@aetherjapanresearch), 33,855 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/aetherjapanresearch.

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.