8/20 cvd

Channel
Trader Hyun's crypto diary
@TraderHyun
On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
6,608subscribers
-57 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001484769628 |
|---|---|
| Type | Channel |
| Username | @TraderHyun |
| Created | 1 August 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 29 August 2026 |
| On Telegram | t.me/TraderHyun |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Aug 2026, 07:08 | 6,608 | -3 |
| 26 Aug 2026, 16:34 | 6,611 | -12 |
| 23 Aug 2026, 08:17 | 6,623 | -8 |
| 20 Aug 2026, 00:27 | 6,631 | -9 |
| 16 Aug 2026, 22:27 | 6,640 | -5 |
| 13 Aug 2026, 11:38 | 6,645 | -11 |
| 10 Aug 2026, 13:51 | 6,656 | -8 |
| 7 Aug 2026, 14:53 | 6,664 | -1 |
| 7 Aug 2026, 05:15 | 6,665 | no change |
| 7 Aug 2026, 05:07 | 6,665 | first reading |
Engagement
28 posts held, back to 7 July 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 10 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.64%
- avg views ÷ 6,608 subscribers
- Avg views / post
- 571
- 13 posts measured
- Reaction rate
- 1.17%
- reactions ÷ views · ER floor
- Posts in window
- 13
- of 28 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 12 of 13 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 20 August 2026 |
|---|---|
| Posts held | 28 (7 July 2026 – 20 August 2026) |
| Views total | 7,424 |
| Reactions total | 84 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 20 Aug 2026, 12:06 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
182 reactions across 26 posts, in 6 distinct kinds. The most used accounts for 64.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 118 | 64.8% | |
| 👍 | 58 | 31.9% | |
| 👌 | 2 | 1.10% | |
| 🔥 | 2 | 1.10% | |
| 🎉 | 1 | 0.549% | |
| 👏 | 1 | 0.549% |
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 26 of the 28 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 182reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 7 July 2026 to 20 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
📣 Ave.ai 진행중인 이벤트 목록 - 66,000USDT 상당의 이벤트 진행중 - 한화 약 9천만원 상당의 토큰 경품 1. 매일 밤 라이브 방송 USDT 무료 뽑기권 증정 - 총 상금 풀: $5,000 상당의 토큰 https://t.me/PredictFiKOR/724 2. AVE x GoldHouse USDT Card 리워드 캠페인 - 총 상금 풀: $11,400 상당의 토큰 https://t.me/PredictFiKOR/729 3. 에이브(AVE) x $DOS 트레이딩 이벤트 - 총 상금 풀: $50,000 상당의 토큰 https://t.me/PredictFiKOR/722 📣한국 사용자는 필수로 설정에서 언어를 한국어로 변경해야합니다: 한국채널 입장
❤6
✅ 8/17 크립토 시황 https://naver.me/5Hy5Fu0S
❤2
미결제약정, 지속상승세
❤10
📣에이브(AVE) x $DOS 트레이딩 이벤트 총 상금 풀: $50,000 상당의 토큰 🎤트레이딩 대상 토큰 $DOS #DAPPos ETH: 0x951f086A127e280724fD93CcC543f65065afEb5E BSC: 0xB0f09ea9ae0515C3551080D4a745C8115aA30e37 🎤이벤트 기간: 2026. 08. 12. 22:00 ~ 2026. 08. 25. 23:59 (UTC+8) 🎤상세 활동 내용 1. 선샤인 어워드 * 참여 조건: 이벤트 기간 내 AVE에서 $DOS 누적 거래액 50 USDT 달성 * 보상: 5,000 USDT 상당의 토큰 에어드롭 (참여 인원 공동 분배) 2. 트레이딩 리더보드 * 참여 조건: 이벤트 기간 내 $DOS 거래량 상위 300위 진입 * 보상: 30,000 USDT 상당의 토큰…
❤5
✅ 8/12 CVD
❤7
📌 DePIN + RWA + AI 교집합, Botanika $1.5M 시드 라운드 클로징 최근 DePIN, RWA, AI 키워드가 묶이는 프로젝트들이 눈에 띄는 가운데, Full Stack Data Infrastructure 프로젝트 Botanika가 $1.5M 시드 라운드를 마무리했습니다. 🌿 핵심 투자 라인업 - 기관: CRIT Ventures, Baboon Ventures, Marble X, Daedalus Angels - 엔젤: Fez & Shayn (Voltr), Jongchan (Trepa), Johannes Jäger (Metrix Capital), Soju (@0xSoju), Cristian (@kiddoq) 💡 눈여겨볼 포인트 - Voltr 같은 디파이 빌더들이 인프라 프로젝트에 엔젤로 참여하는 것은 이례적입니다. 토큰 이…
❤9👍1
✅ 예상했던 환율 1400원도달, 현재상황은? https://naver.me/xy7LkT9r
👍4❤1
코인베이스에는 5만달러 근처 매수주문이 많네요. 위로 매도는 8만달러에 포진되어있습니다 #호가창 #코인베이스
❤8👌1
미결제약정 재차 상승중 #미결제약정
👍6🔥1
📌 RWA 시장, '보유'에서 '거래' 단계로 넘어가는 순간 최근 RWA(실물자산 토큰화) 시장이 빠르게 성장하고 있습니다, 지금까지는 단순히 자산을 토큰화하는 것만으로는 명확한 한계가 존재했는데요, Ondo Perps는 이 한계를 넘어서는 아주 중요한 시도로 평가받고 있습니다. 어떤 변화가 일어나는지 핵심 포인트를 정리해 드립니다 🔑 주요 포인트 - 기존 RWA 구조: 토큰화 ➡️ 보유 ➡️ 수익 창출 중심 - Ondo Perps의 시도: 토큰화된 주식을 마진(담보)으로 직접 활용해 거래 가능 - 패러다임 전환: RWA가 단순 '보유 중심'에서 적극적인 '거래 중심'으로 확장되는 중요한 전환점 💡 포인트 - 지금까지 RWA 시장은 미국 국채, 주식 등을 온체인으로 가져오는 데 집중했습니다. 자산을 보유하면서 이자 수익을 기대하는 …
👍6
📌 Ondo Perps vs 기존 Perps DEX 전격 비교 현재 온체인 Perps 시장은 대부분 크립토 자산 중심입니다. 하지만 Ondo Perps는 실물시장(주식·지수·원자재)을 중심으로 설계되었다는 점에서 기존 플랫폼들과 확실한 차별점을 보입니다. 어떤 차이가 있는지 핵심 포인트 4가지로 정리해 드립니다 🔑 주요 비교 포인트 1️⃣ 담보 자산 (Margin) - 기존 Perps DEX: 주로 USDC나 플랫폼 자체 토큰을 마진으로 사용 - Ondo Perps: 토큰화된 주식과 ETF를 마진으로 직접 사용 가능 (가장 큰 차별점!) 2️⃣ 지원 자산 (Markets) - 기존 Perps DEX: BTC, ETH 등 크립토 자산 중심 - Ondo Perps: NVDA, TSLA, AAPL 등 개별 주식, 주요 지수, 금·원유 같은 …
👍8
Showing the 12 most recent of 28 posts we hold for @TraderHyun. 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 — 1,174,823 of 1,626,935entries 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.
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
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.
@PredictFiKOR · 2,1282 postsBOTANIKA_Announcement
@botanika_ann · 721 postDeFi 농부 👨🏻🌾 조선생
@BSC_Farmer_KR · 20,8271 post싸이버트럭
@cybertruck666 · 10,4861 post종명이의 딸깍
@jh_6598 · 8,9831 postDegen Guy
@justdegenguy · 8,5951 postMBM Crypto Insider🦅
@MBMweb3 · 59,3261 postpeaq 한국 공지 채널
@peaq_KR · 1,4371 post라오니()
@Raoni1 · 15,1901 post코인같이투자 정보 에어드랍🦅
@WeCryptoTogether · 49,5061 post
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.
@twitchoong · 73,844
Telegram ranks this channel #84 of 91 here — alongside 90 others — read 25 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. 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 29 August 2026 — this entry's latest reading, not the date you are reading this.
“Trader Hyun's crypto diary” (@TraderHyun), 6,608 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/TraderHyun.
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.