한국은행, 정부와 '비공식' 논의해 외환보유액 순위 삭제했다 -올해 들어 한때 네 계단 이례적 하락 https://www.yna.co.kr/view/AKR20260929176700002?input=1195m

Channel
습관이 부자를 만든다. 🧘
@habit4117
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
27,930subscribers
+523 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001600798466 |
|---|---|
| Type | Channel |
| Username | @habit4117 |
| Description | 행동은 습관이 되고, 습관은 가치가 된다. -정직, 겸손, 상식, 철학, 습관, 태도. 본 채널의 게시물은 단순 의견 및 기록용도이고 매수-매도 등 투자권유를 의미하지 않습니다. 해당 게시물의 내용은 부정확할 수 있으며 매매에 따른 손실은 거래 당사자의 책임입니다. 해당 게시물의 내용은 어떤 경우에도 법적 근거로 사용될 수 없습니다. |
| Created | 5 February 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/habit4117 |
Topic
Technology — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 37% 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 |
|---|---|---|
| 26 Sept 2026, 17:37 | 27,930 | +76 |
| 19 Sept 2026, 15:35 | 27,854 | +22 |
| 17 Sept 2026, 00:40 | 27,832 | +14 |
| 15 Sept 2026, 03:01 | 27,818 | +16 |
| 13 Sept 2026, 13:39 | 27,802 | +4 |
| 11 Sept 2026, 19:58 | 27,798 | -2 |
| 9 Sept 2026, 07:37 | 27,800 | +26 |
| 5 Sept 2026, 22:16 | 27,774 | +26 |
| 3 Sept 2026, 16:36 | 27,748 | +11 |
| 2 Sept 2026, 11:54 | 27,737 | -2 |
| 1 Sept 2026, 15:25 | 27,739 | -5 |
| 31 Aug 2026, 14:06 | 27,744 | +7 |
| 30 Aug 2026, 15:38 | 27,737 | +39 |
| 29 Aug 2026, 15:42 | 27,698 | +37 |
| 28 Aug 2026, 18:18 | 27,661 | -6 |
| 27 Aug 2026, 17:43 | 27,667 | +1 |
| 26 Aug 2026, 16:24 | 27,666 | -9 |
| 25 Aug 2026, 15:58 | 27,675 | +3 |
| 24 Aug 2026, 14:54 | 27,672 | +23 |
| 22 Aug 2026, 19:25 | 27,649 | first reading |
Engagement
1,087 posts held, back to 5 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 72 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 11.7%
- avg views ÷ 27,930 subscribers
- Avg views / post
- 3,270
- 361 posts measured
- Reaction rate
- 0.475%
- reactions ÷ views · ER floor
- Posts in window
- 361
- of 1,087 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 329 of 361 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 1,087 (5 August 2026 – 29 September 2026) |
| Views total | 1,178,979 |
| Reactions total | 5,256 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 23:56 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
- ≈13,500
- Videos
- ≈2,660
- Links
- ≈52,600
Lifetime counters from Telegram’s own channel header, read 29 September 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
- 40m 32s
- Average length
- 1m 08s
Measured directly from 36 videos 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
14,120 reactions across 859 posts, in 4 distinct kinds. The most used accounts for 47.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 6,684 | 47.3% | |
| 🤣 | 2,968 | 21.0% | |
| 😱 | 2,818 | 20.0% | |
| 😭 | 1,650 | 11.7% |
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 861 of the 1,000 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 14,120 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 10 August 2026 to 29 September 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
- 135
- across the posts below
- Posts paid on
- 2
- of 1,000 we hold a reading for · 0.2%
- Most on one post
- 133
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @habit4117. 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 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 10 August 2026 to 29 September 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
7월 폭락장에 국민연금 182조 줄었다…국내주식만 124조 감소 -기금 적립금 1866조→1684조…한 달 새 약 10% 감소 https://biz.chosun.com/stock/stock_general/2026/09/30/EYHJQRJSAJH4DBP4KIYOUTTTV4/
🤣2
가상공간 넘어 생성현실로…피지컬 AI·로봇 미래 본다 https://zdnet.co.kr/view/?no=20260928110203
“더 높은 금리 찾아줘” AI 은행 예금 빼갈까 -AI가 이자 0.1% 입출금계좌서 5%로 돈 옮기면…"뱅크런 올 수도" https://magazine.hankyung.com/business/article/202609291910b
👍3
뉴욕 연은 총재 "서두를 필요 없다"…연속 금리 인상에 선그어 -올해 말 한 차례 추가 인상 적절할 수도 https://news.einfomax.co.kr/news/articleView.html?idxno=4437001
😭3
#알체라 가 자율주행 분야에서 축적한 인공지능 데이터 구축 역량을 로봇·제조 분야로 확대하며 피지컬 AI 시장 공략에 속도를 내고 있다. LG전자 주관의 피지컬 AI 국책과제에 참여하는 한편 글로벌 IT 기업과의 데이터 수주, AWS 프로그램 선정, 중국 휴머노이드 기업과의 협력 등을 통해 로봇 학습데이터 사업 기반을 넓히고 있다는 분석이다.
"삼전닉스 못 오르는 이유 있다" 고점 대비 주가는 크게 하락했지만, 실적 추정치는 오히려 우상향했다. 이에 삼성전자와 SK하이닉스의 12개월 선행 PER은 지난 28일 종가 기준으로 각각 4.28배와 4.13배에 불과하다. PER이 4배 수준은 기업의 이익을 약 4년 모으면 시가총액만큼 돈이 쌓일 정도로 주가가 이익 대비 저평가됐다고 해석할 수 있다. 하지만 BNK투자증권 연구원은 “낮은 PER이 반드시 저평가를 의미하는 건 아니다”며 “현재의 높은 수익성의 지속에 대한 기대가 낮다는 게 반영된 결과일 수 있다”고 지적했다. 1개 분기 영업이익이 100조원에 육박하는 반도체 호황이 길게 이어지지 않을 가능성에 대한 우려가 삼성전자와 SK하이닉스 주가의 발목을 잡고 있다는 것이다. https://www.hankyung.com/article…
🤣5😭3
"삼성전자, 실적과 주가 괴리…목표가 53만원 유지" NH투자증권은 삼성전자의 3분기 매출액을 200조9410억원, 영업이익을 105조1650억원으로 전망했다. 전년 동기 대비 각각 133.5%, 764.4% 증가한 수준이다. 영업이익은 분기 기준 처음으로 100조원을 넘어설 것으로 내다봤다. 메모리 가격 상승도 실적을 뒷받침할 것으로 봤다. 3분기 D램과 낸드 평균판매가격(ASP)은 전분기 대비 각각 18%, 20% 상승할 것으로 추정했다. HBM4 출시가 본격화되면서 메모리 가격에도 긍정적인 영향을 미칠 것으로 예상했다. 특히 HBM에 대한 기대치를 높였다. NH투자증권은 삼성전자가 HBM에서 시장 평균 이상의 가격을 주도하고 있다며 기존에 45%로 가정했던 2027년 HBM ASP 상승률도 최근 수요를 감안하면 상향 조정할 필요가 …
👍5🤣1😭1
제프리스, 블룸 에너지 목표가 264달러로 상향 -글로벌 투자은행 제프리스는 미국 연료전지 기반 신재생에너지 기업 블룸 에너지(NYS:BE)의 목표주가를 기존 229달러에서 264달러로 상향 조정했다. 다만, 투자 의견은 '보유(Hold)'를 그대로 유지했다. https://news.einfomax.co.kr/news/articleView.html?idxno=4437000
😭2👍1
"삼성전자 장투, 더 기다려볼까"…큰손들은 벌써 내년 물량 잡는다 -삼성전자, AI 데이터센터 수요 최상단 “전략적 가치 재평가” https://www.fnnews.com/news/202609300729225199
😭2
TD코웬 "스페이스X, 신규 커버리지 개시…목표가 200달러" https://news.einfomax.co.kr/news/articleView.html?idxno=4436996
😭1
“스페이스X, 가지고만 있으면 되죠?”...‘스타십’ 첫 지구궤도 진입 선공 https://www.mk.co.kr/news/it/12164159
👍7
Showing the 12 most recent of 1,087 posts we hold for @habit4117. 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.
Republished by 78 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
@songjongsik · 18,16038 posts지식 책꽂이 (이대호 기자)
@knowledge_to_wealth · 14,17018 posts호그니엘
@hogniel · 15,31515 posts뺀지뤼의 SKLab.(스크랩)
@bbanjil · 10,73210 posts힙한 펭미업의 1인칭 시점
@pengmeup · 9,12910 posts조기주식회 공부방
@EarlyStock1 · 24,4027 posts스톡홀리데이
@dhk1567 · 347 posts인상주의 투자 인생 업그레이드노트
@insangnism · 11,2827 posts눈썰미
@nunssulmi · 16 postsIT의 신 이형수
@hslpartners · 17,7485 posts가치투자클럽
@corevalue · 67,5054 posts메모장
@idea_memo · 8,9004 posts제약/바이오/미용 원리버 Oneriver
@pharmbiohana · 29,8124 posts에어드랍ATM
@Bounty_ATM · 26,2163 postsCall to Arms 🦅
@JBSTOCKPAWNSHOP · 1,5823 postsYOUTUBE로 공부하기
@YOUs_STUDY · 1,0053 posts에테르의 일본&미국 리서치
@aetherjapanresearch · 34,5093 postsFOMO 4가투
@fourgachi · 8,3843 postsHAMS INVESTMENT
@hamsinvestment · 83 posts✨Stay hungry.ASI
@stayhungryasi · 1,5273 posts캬오의 공부방
@Kyaooo · 17,3902 posts엘리트강사의 주식 공부방
@elite_instructor · 10,9082 posts후상의 인사이트 저장소
@gngntkd · 4142 posts김기자의 사회과부도
@kijaking · 412 posts롱텀성장투자
@longtermgrowthinvest · 7512 posts묻따방 🐕
@mootda · 19,6532 posts행인7 주식, 경제 스터디
@peds7 · 6872 posts용산의 현인
@petrojimmy · 7,0702 posts🗽엄브렐라(Umbrella Research) 리서치+ 네프콘 옆집부자형 since 2020
@umbrellaresearch · 12,8312 posts64비트사령부⚡️ 🇰🇷🇺🇸
@BTCpentagon · 6,1891 post바밀이야 bamilirya
@Bananamilkrich · 8,7691 post주린이 개소리하는 채널
@Dogrini · 4,7701 post주식 급등일보🚀급등테마·대장주 탐색기 | Korean Stocks
@FastStockNews · 128,9211 post헨리의 노트(Building Pipelines)
@GreatestOfAllTimes · 2,7391 post돼지바
@bbong_tta · 12,6921 post비지뉴스의 이것저것입니다
@busynewsinvest · 1601 post코인맵핵 🎈
@centurywhale · 16,4741 post🔥치리뱅치리 자료방🔥
@chiribang · 31 post반붐온? 방붐온?
@cpshelter · 5,4271 post큐브의 유기농 크립토 쌀농장 🦅
@cubestudy1557 · 9,3171 post상장기업 수사대 ☎️
@cyber_rangers · 16,9361 post우주방산AI로봇 아카이브
@defence_24 · 9,9551 post디젠의 트레이딩 일지
@degen2468 · 12,1311 post간절한 투자스터디카페
@desperatestudycafe · 18,8241 post다영의 뉴스공장
@dynewscollecters · 2,8361 post감자캐기
@gamjaring · 11 postGary의 읽고쓰고즐기는투자📜
@garynote · 1,3431 post오늘의 핵씸
@hackssim · 2401 post
Republishes
Channels on the register whose posts this channel has forwarded.
@hslpartners · 17,7482 posts점프
@jump0000 · 3,2142 posts재간둥이 송선생
@songjongsik · 18,1602 posts가치투자클럽
@corevalue · 67,5051 post딘스티커 Dean's Ticker
@d_ticker · 15,6631 post스크랩 by 훵키클리닉
@funkyclinic · 3,9051 post호그니엘
@hogniel · 15,3151 post미국 주식 인사이더 🇺🇸 (US Stocks Insider)
@insidertracking · 71,9901 post중도의 투자이야기
@joongdo · 4,4431 post묻따방 🐕
@mootda · 19,6531 post여의도 감성투자
@ygamsung · 6,7301 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 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@daegurr · 23,375#1
@fourgachi · 8,384#2
@Ten_level · 17,116#3
@aptvalueprice · 10,716#4
@getfeed · 8,783#5
@yaza_stock · 13,107#6
@hermitcrab41_1 · 20,374#7
@quantum_ALGO · 7,549#8
@G2strategy · 16,234#9
@easobi · 23,597#10
@orangeboard · 4,656#11
@Onionfarmer · 15,975#12
@stbridgee · 4,685#13
@stocktrip · 7,286#14
@tazastock · 40,440#15
@knowledge_to_wealth · 14,170#16
@Korea_value · 5,486#17
@hankyung_fin · 12,714#18
@FastStockNews · 128,921#19
@fastest_info1 · 13,317#20
@bdragon0808 · 13,414#21
@anysong_Technon · 4,976#22
@growthresearch · 40,159#23
@bumsong2 · 13,092#24
@allbareun · 12,221#25
@athletes_village · 21,621#26
@mztanyong · 6,005#27
@Fire_Direction_Center · 5,443#28
@bumgore · 35,352#29
@Kyaooo · 17,390#30
@small_stock · 8,990#31
@jake8lee · 17,256#32
@slsyphus · 4,401#33
@Yeouido_Lab · 43,277#34
@stockgrandmaster · 10,920#35
@bufkr · 22,185#36
@ygamsung · 6,730#37
@mistergray_11 · 19,521#38
@GoUpstock · 20,970#39
@twomachine · 5,305#40
@moneybottle · 15,628#41
@Donmaek · 6,361#42
@capitalmosquito · 4,235#43
@selfstudystock · 3,719#44
@survival_DoPB · 22,243#45
@nje2e · 8,478#46
@yakjangsu · 11,424#47
@pharmbiohana · 29,812#48
@PRROEresearch · 4,630#49
@ym_research · 40,071#50
@kim_rob · 4,543#51
@cyber_rangers · 16,936#52
@corevalue · 67,505#53
@choaz1 · 7,068#54
@rafikiresearch · 20,596#55
@YeouidoStory2 · 58,411#56
@bbong_tta · 12,692#57
@bbanjil · 10,732#58
@kimcharger · 24,931#59
@aetherjapanresearch · 34,509#60
@TRENDSETTERVERSION2 · 3,929#61
@Dogrini · 4,770#62
@insangnism · 11,282#63
@investment_puzzle · 14,375#64
@mstaryun · 18,661#65
@redbirdstock · 10,539#66
@awake_realtimeCheck · 22,632#67
@desperatestudycafe · 18,824#68
@econostudy · 8,512#69
@cpshelter · 5,427#70
@yieldnspread · 22,018#71
@hwalja · 3,536#72
@upper_limit_price · 8,003#73
@hanagae · 4,639#74
@mk81_koreainvestment · 16,327#75
@darthacking · 65,078#76
@gaoshoukorea · 41,159#77
@sunstudy1234 · 54,428#78
@psychotherapy101 · 5,958#79
@The_MariTimes · 7,380#80
@minchoisfuture · 15,119#81
@theelec · 10,811#82
@bornlupin · 48,199#83
@kwtok · 9,419#84
@gatubang · 14,627#85
@triple_stock · 12,956#86
@pengmeup · 9,129#87
Read from Telegram’s recommendation API, most recently 10 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
@daegurr · 23,375
Telegram ranks this channel #23 of 83 here — alongside 82 others — read 18 September 2026
@athletes_village · 21,621
Telegram ranks this channel #25 of 88 here — alongside 87 others — read 23 September 2026
@growthresearch · 40,159
Telegram ranks this channel #27 of 90 here — alongside 89 others — read 2 September 2026
@FastStockNewsUSA · 40,678
Telegram ranks this channel #30 of 89 here — alongside 88 others — read 2 September 2026
@survival_DoPB · 22,243
Telegram ranks this channel #35 of 90 here — alongside 89 others — read 21 September 2026
@stock_messenger · 25,522
Telegram ranks this channel #38 of 90 here — alongside 89 others — read 14 September 2026
@FastStockNews · 128,921
Telegram ranks this channel #39 of 92 here — alongside 91 others — read 2 September 2026
@shmstory · 38,160
Telegram ranks this channel #43 of 89 here — alongside 88 others — read 2 September 2026
@tazastock · 40,440
Telegram ranks this channel #45 of 89 here — alongside 88 others — read 2 September 2026
@Yeouido_Lab · 43,277
Telegram ranks this channel #45 of 90 here — alongside 89 others — read 2 September 2026
@YeouidoStory2 · 58,411
Telegram ranks this channel #46 of 92 here — alongside 91 others — read 2 September 2026
@easobi · 23,597
Telegram ranks this channel #50 of 87 here — alongside 86 others — read 18 September 2026
@corevalue · 67,505
Telegram ranks this channel #50 of 93 here — alongside 92 others — read 2 September 2026
@bumgore · 35,352
Telegram ranks this channel #56 of 89 here — alongside 88 others — read 2 September 2026
@Jstockclass · 26,067
Telegram ranks this channel #60 of 90 here — alongside 89 others — read 13 September 2026
@realtime_stock_news · 37,210
Telegram ranks this channel #60 of 93 here — alongside 92 others — read 2 September 2026
@yieldnspread · 22,018
Telegram ranks this channel #62 of 89 here — alongside 88 others — read 21 September 2026
@gaoshoukorea · 41,159
Telegram ranks this channel #65 of 90 here — alongside 89 others — read 2 September 2026
@EarlyStock1 · 24,402
Telegram ranks this channel #68 of 91 here — alongside 90 others — read 16 September 2026
@aetherjapanresearch · 34,509
Telegram ranks this channel #70 of 89 here — alongside 88 others — read 3 September 2026
@HS_academy · 36,164
Telegram ranks this channel #72 of 90 here — alongside 89 others — read 8 September 2026
@bufkr · 22,185
Telegram ranks this channel #74 of 89 here — alongside 88 others — read 21 September 2026
@sunstudy1234 · 54,428
Telegram ranks this channel #77 of 89 here — alongside 88 others — read 2 September 2026
@pikachu_aje · 25,217
Telegram ranks this channel #78 of 91 here — alongside 90 others — read 14 September 2026
This channel appears in 30 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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“습관이 부자를 만든다. 🧘” (@habit4117), 27,930 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/habit4117.
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.