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 the other topics.
Observations
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.
Views per post sit far above this size band
21,300 average views per post against 22,865 subscribers — an engagement rate of 93.0%. Across the 54,896 registered channels in the same cohort — 10,000–31,622 subscribers — the middle half sit between 4.13% and 19.2%, with a median of 9.47%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
13 of 13 published in the window (0 exact, 13 rounded by Telegram)
Views totalled
276,520
Mature posts only
93.0% over 13 posts read at least 24h after publication
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 5 November 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.
Growth
60 measurements spanning 92 days, net +888. 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 21,837–23,020 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
6 Nov 2026, 05:37
22,861
-4
5 Nov 2026, 04:08
22,865
-1
4 Nov 2026, 04:30
22,866
-12
3 Nov 2026, 00:37
22,878
+8
1 Nov 2026, 22:27
22,870
-2
1 Nov 2026, 00:09
22,872
+1
30 Oct 2026, 20:44
22,871
-7
29 Oct 2026, 18:20
22,878
+5
28 Oct 2026, 15:28
22,873
-3
27 Oct 2026, 15:00
22,876
+1
26 Oct 2026, 16:27
22,875
+1
25 Oct 2026, 14:31
22,874
-2
24 Oct 2026, 17:06
22,876
-7
23 Oct 2026, 18:59
22,883
+7
22 Oct 2026, 16:50
22,876
+26
21 Oct 2026, 12:44
22,850
-1
20 Oct 2026, 10:30
22,851
+22
19 Oct 2026, 09:41
22,829
+11
18 Oct 2026, 07:10
22,818
+2
17 Oct 2026, 08:28
22,816
first reading
Engagement
64 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 95 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
96.9%
avg views ÷ 22,861 subscribers
Avg views / post
22,200
12 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
12
of 64 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 November 2026
Posts held
64 (5 July 2026 – 2 November 2026)
Views total
265,930
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 14:32 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
≈3,260
Links
≈2,570
Lifetime counters from Telegram’s own channel header, read 6 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 4 of 12 posts held from the last 30 days (33.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
[이그전] 오늘 밤 발표되는 ‘ISM제조업지수’에서 꼭 체크할 것들
안녕하세요. KB증권 자산배분 이은택입니다.
1) ISM제조업지수는 주식시장 특히 시크리컬 업종인 반도체 사이클에 강한 선행성을 가진 지표입니다.
2) 일반적으로 ISM제조업지수는 50 후반부에 정점을 보이는데, 이번엔 지난 7월 55 기록 이후 주춤하고 있습니다.
3) 이것 역시 인플레에 의해 정점이 결정될 것으로 보는데, 단기엔 압력이 추가될 가능성과 이후 완화되는 흐름 정도를 예상할 수 있습니다.
- URL: https://m.blog.naver.com/egzion/224461927319
[이그전] 한꺼번에 몰려 온 인플레 완화 재료들
안녕하세요. KB증권 자산배분 이은택입니다.
1) 최근 인플레 완화와 관련된 뉴스들이 집중되고 있습니다. 특히 정제유 측면에서 그렇습니다.
2) 러시아 디젤 수출 재개, 한국 디젤 수출 재개, 이란협상 기대 등입니다. 또한 중동 원유 수출이 정상화된 것의 효과도 나타나고 있습니다.
3) 정치적으론 이스라엘 총선과 브라질 대선이 불러오는 나비효과에 대한 기대도 있습니다.
- URL: https://m.blog.naver.com/egzion/224456637627
[이그전] W-shape 바닥을 위해 필요한 것
안녕하세요. KB증권 자산배분 이은택입니다.
1) -25% 이상 급락 후엔 거의 대부분 지금과 같은 ‘W-shape’ 조정이 나타납니다.
2) 10월 주식시장을 누른 핵심 이슈는 ① 메모리 반도체 우려, ② 인플레 우려 입니다.
3) 결자해지. 특히 인플레 우려가 누그러질 이슈가 있어야 ‘W-shape’ 바닥 형성 가능성이 높아질 수 있습니다.
- URL: https://m.blog.naver.com/egzion/224450011433
[KB Asset Compass] 이제부터 시장 중심은 ‘금리 (Gravity)’에서 ‘인플레’로 바뀐다
안녕하세요. KB증권 전략총괄/자산배분 이은택입니다.
1) 글로벌 자산배분: 시장의 중심은 ‘금리 (Gravity)’에서 ‘인플레 (Rabbit Hole)’로 이동할 것입니다.
2) 경제: 미국 선거를 다뤘습니다. 한국은 강한 성장세에 추가 긴축에 대한 경계가 지속 중입니다.
3) 주식: 주가 조정 속 이익 사이클과 AI 투자는 여전히 견조합니다.
4) 채권: 금리의 단기 고점은 확인한 것으로 판단합니다.
5) 대체: 전쟁 장기화로 유가는 추가 상방 여지가 있습니다.
- URL: https://bit.ly/4yWeEwp
[이그전] '인플레 확대+장기금리 하락' 조합이 경고하는 것들
안녕하세요. KB증권 자산배분 이은택입니다.
1) 제시했던 위험 시그널 (금리 신고가, 인플레 압력, 장기금리 하락 등)이 최근 증시에 나타나고 있습니다.
2) 닷컴 버블 당시 후반부에 나타난 장기금리 하락에 대한 설명을 첨부했습니다.
3) 버블랠리 후반부라는 증거가 더 명확해 지면서 변동성이 확대될 것입니다. 동시에 아직은 몇 가지 더 체크할 요인들도 있습니다.
- URL: https://m.blog.naver.com/egzion/224446210535
김민규 주식팀장의 급락 코멘트 공유합니다.
—————————————————
[급락 코멘트] W자 반등의 두 번째 바닥 탐색
안녕하세요, KB증권 주식전략 김민규, 김지우 입니다.
- 시장은 현재 W자 반등의 두 번째 바닥을 탐색 중이라고 판단합니다. 이에 따라 코스피 5,600~6,000 초반 레벨에서의 매수 대응을 제시합니다.
- 10월 중순 국내 증시 급락 원인은 크게 세 가지입니다. 첫 번째는 OpenAI의 매출 노이즈와 AI 하드웨어 관련 공급 확대 소식에 따른 업종 투자심리 악화입니다. 두 번째는 외국인 순매도 확대와 반도체 기업들의 자사주 매입 마무리에 따른 수급 공백입니다. 마지막으로 불안한 매크로 환경 지속 (고금리, 고유가, 고운임)입니다.
- 코스피 하락의 가장 큰 요인은 반도체 업종의 멀티플 축소입니다. 빅테크와 …
[이그전] 탑다운 반도체: 반도체는 시크리컬의 숙명을 넘지 못했나?
안녕하세요. KB증권 자산배분 이은택입니다.
1) SCM의 핵심 중 하나인 ‘채찍이론’에 따르면 업스트림 산업으로 갈수록 수요의 왜곡 효과가 더 크게 나타납니다.
2) 반도체가 '시크리컬 산업의 숙명'을 지니게 된 것은 산업의 중요성이 낮아서가 아닙니다. 오히려 반대로 ‘산업의 쌀’이기 때문입니다.
3) 이렇게 보면 현재 반도체는 ‘AI’수요까지 더해지며 채찍효과가 극대화된 상황에 더 가깝습니다.
- URL: https://m.blog.naver.com/egzion/224439930758
Showing the 12 most recent of 64 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.
Posts edited after publishing
@egzion edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
7 October 2026
Most recent edit
7 October 2026
Posts recorded as deleted after publishing
We recorded 1 post on @egzion as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
26 August 2026
Most recent seen missing
26 August 2026
Median time before seen missing
15 hours
Seen missing in the last 30 days
0
Forward network
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.
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.
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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“이그전 (이은택의 그림 전략)” (@egzion), 22,861 subscribers as measured 6 November 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.
