Telegram RegisterThe public register of Telegram

Channel

주식과 부동산

@slowstockT

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

3,777subscribers

+9 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-1001212676412
TypeChannel
Username@slowstockT
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/slowstockT

Growth

3,7663,7773,771.56 August 2026 — 3,768 subscribers7 August 2026 — 3,766 subscribers10 August 2026 — 3,775 subscribers13 August 2026 — 3,777 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net +9. 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 3,764–3,779 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 07:263,777+2
10 Aug 2026, 11:313,775+9
7 Aug 2026, 09:403,766-2
6 Aug 2026, 14:073,768first reading

Engagement

45 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 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
15.5%
avg views ÷ 3,777 subscribers
Avg views / post
587
45 posts measured
Reaction rate
0.192%
reactions ÷ views · ER floor
Posts in window
45
of 45 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 18 of 45 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 August 2026
Posts held45 (5 August 20268 August 2026)
Views total26,420
Reactions total30
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 06:14 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

30 reactions across 17 posts, in 3 distinct kinds. The most used accounts for 63.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1963.3%
👍826.7%
🔥310.0%

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 18 of the 45 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 30reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 45 most recent posts we hold, published 5 August 2026 to 8 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

8 Aug 2026, 05:26 UTC≈2,680 viewsread 8 August 2026

#농구천재 님 몇 개의 그래프들 - Reddit 2Q26 - 인간 커뮤니티의 가치는? https://m.blog.naver.com/tosoha1/224372045680

8 Aug 2026, 05:15 UTC128 viewsread 8 August 2026
Forwarded from @ssenepoddresearchFile

#시장전략 #외국인 복귀 조건

8 Aug 2026, 05:12 UTC175 viewsread 8 August 2026

누구탓인지 모르는건 지능의 문제 “오세훈 탓” “박원순 탓”…여야, 수도권 집값 급등 책임 ‘네 탓’ 공방 https://www.sedaily.com/article/20077198

8 Aug 2026, 05:09 UTC176 viewsread 8 August 2026

#플래드낵 님 한국 메모리 월가 펀딩 숏 https://m.blog.naver.com/mong4445/224371961520

8 Aug 2026, 02:11 UTC942 viewsread 8 August 2026

#메르 님 외국인들이 국장을 던지는 비밀 2 한줄 코멘트. VaR과 위험조정수익률(샤프지수등)을 모두 보는 기관들이 많음. 변동성이 높아지면 VaR 때문에 운용한도가 줄어들고, 펀드매니저들의 평가(샤프지수등)에도 악영향을 미치게 됨. 펀드매니저들은 변동성이 높아진 자산과 시장의 비중을 줄이거나, 다른 시장으로 이동을 모색하게 되는 것임. 외국인들이 연초부터 한국을 계속 탈출하는 이유에는 국장의 변동성 증가가 영향을 미치는 것 같음. https://m.blog.naver.com/ranto28/224371660858

7 Aug 2026, 22:11 UTC485 viewsread 8 August 2026

#슈카 님 #머니코믹스 나는 돈을 구조적으로 벌고 있나? https://youtu.be/SRwkmrw2JW8?si=gpnDNdHs3LA54Uxe

7 Aug 2026, 15:12 UTC≈7,500 views2 reactionsread 8 August 2026

#메르 님 외국인들이 국장을 던지는 비밀 1 한줄 코멘트. 외국인들, 특히 연기금등의 변화에 감을 잡으려면 VKOSPI를 볼필요가 있음. 변동성이 커지면 VaR가 부풀고, 받아놓은 위험예산한도를 맞추려면 보유물량을 줄여야 함. 국장 주식을 팔아야 한다는 말임. 외국인들의 움직임을 이것으로 모두 설명할 수 없지만, 이런 논리로 기계적으로 움직이는 기관들이 꽤 많음. https://m.blog.naver.com/ranto28/224371367594

👍2

7 Aug 2026, 12:43 UTC554 views2 reactionsread 8 August 2026
Forwarded from @deandatbondPhoto

고용 역성장 쇼크는 1) 레저/접객이 월드컵 소멸 효과로 2개월 연속 역성장했고 2) 신규 고용을 주도했던 교육/의료 부문 고용도 둔화되기 시작했고 3) 소매업은 2개월 연속 역성장 4) 정부 고용은 -53k로 큰 폭으로 하락 3개월 평균으로 보면 논팜 고용은 20k로 직전 3개월 평균 77k 대비 큰 폭으로 하락. 물론 신규 고용 손익분기점보다는 높은 수준이지만 고용 추세는 점차 둔화되고 있음을 확인

2

7 Aug 2026, 12:36 UTC411 views4 reactionsread 8 August 2026
Forwarded from @EMchinaPhoto

고용 쇼크 금리 하락

👍31

7 Aug 2026, 11:44 UTC309 viewsread 8 August 2026
Forwarded from @HANAchinaPhoto

>>모건스탠리 Shawn Kim “매도에서 매수로 전환”: 메모리 업황 조정 “막바지에 가까워졌음”, SK하이닉스 EPS 13% 상향 •보고서에서 메모리 반도체 업종의 가장 극심한 조정이 막바지에 가까워졌으며, 현재 밸류에이션이 매우 매력적이라고 지적했음. 삼성전자와 SK하이닉스에 대한 장기 강세 입장과 목표주가를 유지했으며, 두 회사의 주가가 현재 수준에서 60% 이상 상승할 여지가 있을 것으로 전망 •AI 수요의 구조적 확대, 기업들의 자본수익률 전환 및 장기계약이 업종 펀더멘털을 뒷받침할 것으로 전망했음. Kim은 7월에 메모리가 단기적인 조정을 받을 가능성이 있다고 경고한 바 있음 >大摩Shawn Kim“空转多”:存储行情修正“接近尾声”,SK海力士EPS上调13% https://wallstreetcn.com/articles/37789

7 Aug 2026, 09:59 UTC≈1,150 views2 reactionsread 8 August 2026

고민없는 부동산 정책 고심깊은 정당 지지율 탈당 인증샷에 놀란 당정…대출 풀고 정비사업 활성화도 만지작 https://www.sedaily.com/article/20077101

🔥2

7 Aug 2026, 08:12 UTC279 viewsread 8 August 2026
Forwarded from @bornlupinPhoto

모건 스탠리 - 메모리 지금까지 메모리 산업에서 나타난 가장 가파른 조정은 마무리에 접어든 것으로 보이며, 다음 주가 상승 촉매제(Catalyst)로서 자사주 매입으로 관심이 이동하고 있습니다. 당사는 이를 사이클 노후화(성숙기) 과정에서 나타나는 자연스러운 일부분, 즉 작고 일시적인 차질 정도로 바라봅니다. 현재 밸류에이션은 매력적인 전술적 재진입 기회를 제공합니다.

Showing the 12 most recent of 45 posts we hold for @slowstockT. 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.

Citation-graph rank

Citation-graph rank — 207,624 of 1,189,255entries 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

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

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

“주식과 부동산” (@slowstockT), 3,777 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/slowstockT.

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.