Channel
@egzion
On this record: Topic · Observations · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
22,388subscribers
+415 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001269723965 |
|---|---|
| Type | Channel |
| Username | @egzion |
| Description | '이은택의 그림으로 보는 전략' 텔레그램 채널입니다 |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/egzion |
Crypto & trading — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 65% 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.
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
28,700 average views per post against 22,388 subscribers — an engagement rate of 128.0%. Across the 37,224 registered channels in the same cohort — 10,003–31,622 subscribers — the middle half sit between 3.13% and 14.7%, with a median of 7.10%.
| Window | 30 days (28 August 2026 – 27 September 2026) |
|---|---|
| Posts measured | 13 of 13 published in the window (0 exact, 13 rounded by Telegram) |
| Views totalled | 372,600 |
| Mature posts only | 128.0% over 13 posts read at least 24h after publication |
| Subscribers | 22,388 measured 25 September 2026 |
| Cohort | b10000 · 37,224 channels · p10 1.22% · p25 3.13% · p50 7.10% · p75 14.7% · p90 26.2% |
| Position in cohort | 99.882th percentile · 18.0× the cohort median |
| Uncertainty | ±0.132% of the figure, from Telegram’s rounding |
| Post language | Korean · 100.0% of the window’s posts |
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 27 September 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 09:01 | 22,388 | -4 |
| 19 Sept 2026, 02:21 | 22,392 | +7 |
| 16 Sept 2026, 19:56 | 22,385 | +15 |
| 14 Sept 2026, 18:58 | 22,370 | -5 |
| 13 Sept 2026, 05:20 | 22,375 | -7 |
| 11 Sept 2026, 07:17 | 22,382 | +34 |
| 8 Sept 2026, 09:57 | 22,348 | +104 |
| 5 Sept 2026, 06:42 | 22,244 | -3 |
| 3 Sept 2026, 10:24 | 22,247 | +12 |
| 2 Sept 2026, 07:34 | 22,235 | +17 |
| 1 Sept 2026, 08:15 | 22,218 | +19 |
| 31 Aug 2026, 04:49 | 22,199 | +5 |
| 30 Aug 2026, 01:43 | 22,194 | -1 |
| 29 Aug 2026, 05:13 | 22,195 | +10 |
| 28 Aug 2026, 02:43 | 22,185 | +7 |
| 26 Aug 2026, 23:08 | 22,178 | +12 |
| 25 Aug 2026, 21:53 | 22,166 | +14 |
| 25 Aug 2026, 01:24 | 22,152 | +22 |
| 23 Aug 2026, 14:57 | 22,130 | +13 |
| 21 Aug 2026, 22:15 | 22,117 | first reading |
47 posts held, back to 5 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 60 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 23 September 2026 |
|---|---|
| Posts held | 47 (5 July 2026 – 23 September 2026) |
| Views total | 372,600 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 02:45 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.
Lifetime counters from Telegram’s own channel header, read 27 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.
[이그전] 미국 중간선거 해의 10월에 나타나는 주가 패턴 안녕하세요. KB증권 자산배분 이은택입니다. 1) 중간선거와 주가는 높은 상관성을 보입니다 (승률 100%). 특히 지금과 유사한 상황에선 10월 수익률도 좋았다는 특성이 있습니다 2) 반면 국채금리/경기사이클과 중간선거 상관성은 거의 없었습니다. 3) 단기 증시엔 긍정적 패턴입니다. 다만 현재 경기사이클 위치와 금리 방향을 볼 때, 중장기적 불확실성은 남습니다. - URL: https://m.blog.naver.com/egzion/224420708620
[이그전] '초후행적' 긴축 사이클의 시작, 증시엔 무엇을 의미하나? 안녕하세요. KB증권 자산배분 이은택입니다. 1) 실물경제 측면에서는 이미 올해 초부터 금리인상 사이클이 시작되었어야 맞습니다. 2) 그 이유는 ‘고물가 시대’엔 지난 40년 (저물가 시대)과는 거꾸로 통화정책을 가져가야 하기 때문입니다. 3) 이런 현상의 변화가 주식시장 등에 미칠 영향을 적었습니다. - URL: https://m.blog.naver.com/egzion/224414592675
[이그전] 미국 10년물 5%, 버블 붕괴의 신호인가? 안녕하세요. KB증권 자산배분 이은택입니다. 1) 최근 10년물 금리 상승은 유가 때문입니다. 그렇게 보면 WTI 100달러 하회 시점이 중요합니다. 2) 미국 10년물 5%는 증시를 억누르는 중력입니다. 다만 버블 붕괴의 신호가 충족됐다고 보진 않습니다. 3) 왜냐하면 제시했던 두 가지 조건 중 하나는 초입에 진입, 두 번째는 아직 불충족 됐기 때문입니다. - URL: https://m.blog.naver.com/egzion/224413431430
[이그전] 기술적 분석으로 본 증시 (3): 더블 바텀-더블 탑 사례 안녕하세요. KB증권 자산배분 이은택입니다. 1) 지금과 유사한 각도로 급등한 사례는 단 두차례입니다. 3저호황과 닷컴버블입니다. 2) 두 번 모두 더블탑 모양으로 증시가 고점을 형성했습니다. 당시 급락 후 전고점 회복 과정에서 겪은 일들을 자료에 담았습니다. 3) 분석의 교훈은 ① 두 번째 고점에서의 FOMO 출현, ② 두 번 모두 연준의 추세적 긴축이 랠리를 붕괴시켰다는 점입니다. - URL: https://m.blog.naver.com/egzion/224406913240
[이그전] 기술적 분석으로 본 증시 (2): 주가 바닥의 형성 과정 안녕하세요. KB증권 자산배분 이은택입니다. 1) 역사상 코스피가 -25% 이상 급락하는 건 매우 드문데, 이런 사례에서 바닥의 형성 과정을 살펴봤습니다. 2) 대부분의 사례에서 W-shape 반등이 나타나며, 지금도 그 과정 속에 있다고 생각합니다. 3) 흥미로운 것은 두번째 바닥에서 매도하고자 하는 투자심리가 더 강해진다는 점입니다. - URL: https://m.blog.naver.com/egzion/224405688477
- 9월 웨비나 리마인드 1) 예정보다 조금 늦은 10시 3분에 시작하겠습니다 (앞 일정이 지연됐습니다) 2) 추가 신청자는 10시 50분부터 순차적으로 승인됩니다 3) KB증권 거래 운용사/기관 대상 세미나입니다. 죄송한 마음과 함께 양해 부탁드립니다.
https://blog.naver.com/egzion/224404138344
. [이그전] 탑다운 반도체: 전고점 회복 가능성에 대한 사례 스터디 안녕하세요. KB증권 자산배분 이은택입니다. 1) 메모리 실적에 대해선 ① 성장은 둔화되지만, ② 이익률 유지되며, ③ 완만한 이익 성장이 컨센서스입니다. 2) 이런 조건에서 주가는 어떻게 움직일까요? 이와 유사한 사례를 살펴봤습니다. 3) 2024~2025년 엔비디아 사례인데, 유사점과 더불어 몇 가지 차이점과 향후 주가에 대해서도 알아봤습니다. - URL: https://m.blog.naver.com/egzion/224403322863
어제 발간 된 자료입니다. 개인 일정으로 늦게 올린 점 양해 부탁드립니다. ———————————————————————— [이그전] 연준의 금리 결정, 돌고돌아 제자리로 안녕하세요. KB증권 자산배분 이은택입니다. 1) 윌리엄스와 월러는 9월 FOMC의 금리 결정을 아직 정해두지 않았다고 발언했습니다. 2) 잭슨홀 연설 이후 시끄러웠지만, 연준은 결국 '데이터 디펜던트'로 돌아왔다고 생각합니다. 3) 지금은 금리인상이 긴급한 상황은 아닙니다. 다음 주 발표될 CPI가 가장 중요합니다. - URL: https://m.blog.naver.com/egzion/224401940620
■ "9월 전략" 웨비나 공지 안녕하세요. 웨비나에 관심 가져주셔서 감사합니다. 1. 웨비나는 **(KB증권과 거래하는) 운용기관 고객**을 대상으로 운영됩니다. 2. ‘운용 기관, 운용역 이메일’ 기재가 필수입니다. 미기재 시 초대링크가 발송되지 않습니다. 너그러이 양해해 주시기 바라며, 다시 한번 감사드립니다. 주제: [KB증권/이은택] 궁즉변: 궁해진 뒤에 변한다 일시: 2026년 9월 8일 화요일 오전 10시 - 리스크 점검 ① 국채금리 상승세와 전망 - 리스크 점검 ② 앤트로픽 상장 (클로즈드 토큰 인덱스) - 증시 급락 이후 주가 패턴: '더블 바텀'과 이후 '더블 탑' 전략 - 국채금리: 목표치에 근접. 급등세 완화 전망 아래 링크를 통해 사전에 등록해주시기 바랍니다. https://us02web.zoom.us/web…
. [이그전] 숨겨진 리스크: 유로존 국가 간 국채금리 디커플링 안녕하세요. KB증권 자산배분 이은택입니다. 1) 미국 장기금리보다 유럽의 장기금리 급등은 더 빠릅니다. 유럽은 20년래 최고치에 근접하고 있습니다. 2) 더 문제는 유로존 국가 간 금리차가 벌어지기 시작했다는 점입니다. 다만 이번에는 서유럽 금리가 급등 중입니다. 3) 지금은 큰 문제는 없을 것입니다. 다만 문제는 경기사이클이 꺾이면서 시작될 것입니다. - URL: https://m.blog.naver.com/egzion/224398194889
**[KB 9월 전략] 어둡지만 주머니에 성냥은 있다** 안녕하세요, KB증권 주식전략팀 김민규, 박유안, 김지우 입니다. - 재정우려와 고금리는 분명 해결되기 어려운 문제입니다. 그렇다고 당장의 시장을 비관적으로만 볼 필요는 없습니다. 이 정도 금리면 웬만한 불확실성은 반영된 것으로 보이며, 비록 완전한 해결은 아니더라도 금리안정을 위한 대응책은 더 강해질 수 있습니다 - 2022년의 영국의 단기반등 사례가 좋은 예입니다. 당시 리즈트러스 내각은 고금리와 재정적자에도 불구 감세안을 발표하며 금리 급등과 파운드화 약세를 초래했습니다. 영란은행의 긴급 국채매입, 총리 교체, 감세안 철회로 '잠시나마' 주식시장이 안정을 찾고 반등했습니다. 물론 장기적으로 재정적자는 해결되지 못했습니다. - 업종으로는 양쪽의 가능성 모두를 열고 대응합니다.…
Showing the 12 most recent of 47 posts we hold for @egzion. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“이그전 (이은택의 그림 전략)” (@egzion), 22,388 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/egzion.
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.