DRAM ETF의 공매도 비중이 30% 안팎까지 치솟았습니다. 반도체 업종에 하락 베팅이 과도하게 몰린 만큼, 분위기가 돌아설 경우 숏커버가 강하게 유입될 수 있습니다. $DRAM

Channel
랜디의 선건전곤(旋乾轉坤)
@flip_theUniverse
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
473subscribers
+5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002244503679 |
|---|---|
| Type | Channel |
| Username | @flip_theUniverse |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/flip_theUniverse |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 15:19 | 473 | +5 |
| 8 Aug 2026, 04:47 | 468 | no change |
| 7 Aug 2026, 14:40 | 468 | first reading |
Engagement
20 posts held, back to 29 June 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 11.4%
- avg views ÷ 473 subscribers
- Avg views / post
- 54.2
- 13 posts measured
- Reaction rate
- 3.85%
- reactions ÷ views · ER floor
- Posts in window
- 13
- of 20 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 3 of 13 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (29 June 2026 – 7 August 2026) |
| Views total | 704 |
| Reactions total | 10 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 04:47 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
10 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 90.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 9 | 90.0% | |
| 😭 | 1 | 10.0% |
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 3 of the 20 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 10reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 29 June 2026 to 7 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
그럼 진짜 AI에 쓰는 돈이 단순 비용밖엔 안될지도 ...
그런 생각이 안들면 어떡하냐고요?
돈이 아까워서 어떻게 쓰지 어떻게 쓰지 고민하고 일단 막 쓰고 하다보면 얘가 뭐가 가능하고 뭐가 안되는지 대충 감이 잡히고 내가 얘를 활용해서 생각보다 많은걸 할 수 있음을 느끼게 됨 그러면서 생각만 하던 것들도 이것도 해볼까 저것도 해볼까 하는 생각도 들게 되고요
AI 시대에 뒤처지긴 싫어서 써보긴 해야할텐데 막상 쓰려니 내가 뭘 어디에 쓸 수 있을지 딱히 생각이 안나는 분들 계시지요? 일단 그냥 초고가 요금제 (월 $200 짜리) 지르고 보시는걸 추천드립니다
헷징없이 그냥 올인인가
저분은 리스크 헷징을 뭐로 하는걸까
소프트뱅크, 오픈AI 지분 담보로 100억 달러 조달…'AI 올인' 가속 https://naver.me/xbK6q42h
AI 에이전트 배포 12주에서 2주로... 제약사가 말한 병목은 인터페이스가 아니라 인프라였다 LangChain이 공개한 사례 영상에서 제약사 Madrigal Pharmaceuticals의 AI·데이터사이언스 팀이 사내 AI 에이전트를 확장한 과정을 설명했다. 이 팀은 AI를 개별 도구가 아니라 하나의 역량으로 보고, 대규모 검색과 종합, 컨텍스트 엔지니어링을 함께 다뤘다고 밝혔다. 핵심 메시지는 확장의 병목이 인터페이스가 아니라 인프라라는 것이다. 인프라는 시간이 갈수록 복리로 쌓이지만 인터페이스만으로는 확장되지 않으며, 시스템 엔지니어링이 뒷받침돼야 한다는 설명이다. 관측성 도구인 LangSmith의 트레이스 기능이 디버깅 방식을 바꿨다는 언급도 나왔다. 한 담당자는 처음 트레이스를 봤을 때 에이전트의 뇌를 들여다보는 느낌이었다며 에…
그래서 여기서 차트얘기하고 종목얘기하고 하는게 좀 부담스럽게 됐더군요
👍4
제가 꽤나 오랫동안 조용히 있었던 이유는.. 어쩌다보니 제가 금융권에 발을 들이게 됐습니다
👍5
최근에 주식이 많이 떨어졌다가 올랐지요
Showing the 12 most recent of 20 posts we hold for @flip_theUniverse. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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
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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“랜디의 선건전곤(旋乾轉坤)” (@flip_theUniverse), 473 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/flip_theUniverse.
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.