📢 이효석 아카데미 공식 채널 안내 🎉
📺 유튜브 채널 👉 https://youtube.com/@hs_academy?si=vKWQH8Xv9ql-pzoH
📚 네이버 프리미엄 콘텐츠 👉 https://contents.premium.naver.com/hsacademy/hsacademy1
Created
30 January 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 50% 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.
Growth
35 measurements spanning 51 days, net +432. 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 35,646–36,330 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
26 Sept 2026, 03:57
36,164
-85
17 Sept 2026, 12:57
36,249
-2
15 Sept 2026, 09:39
36,251
+28
13 Sept 2026, 17:21
36,223
+11
11 Sept 2026, 19:56
36,212
+9
9 Sept 2026, 10:56
36,203
-1
6 Sept 2026, 01:40
36,204
-2
3 Sept 2026, 19:39
36,206
-5
2 Sept 2026, 12:08
36,211
+5
1 Sept 2026, 10:57
36,206
+5
31 Aug 2026, 14:05
36,201
+14
30 Aug 2026, 12:42
36,187
+11
29 Aug 2026, 12:35
36,176
+24
28 Aug 2026, 14:06
36,152
+14
27 Aug 2026, 13:42
36,138
+17
26 Aug 2026, 13:43
36,121
+35
25 Aug 2026, 12:28
36,086
+53
24 Aug 2026, 11:08
36,033
+44
22 Aug 2026, 17:47
35,989
+13
21 Aug 2026, 05:24
35,976
first reading
Engagement
186 posts held, back to 31 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 92 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
22.9%
avg views ÷ 36,164 subscribers
Avg views / post
8,290
87 posts measured
Reaction rate
0.534%
reactions ÷ views · ER floor
Posts in window
87
of 186 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 27 September 2026
Posts held
186 (31 July 2026 – 27 September 2026)
Views total
720,872
Reactions total
3,850
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 16:56 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
≈5,090
Videos
≈190
Links
≈5,850
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.
Video runtime
2m 47s
Average length
33s
Measured directly from 5 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
10,766 reactions across 185 posts, in 18 distinct kinds. The most used accounts for 45.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4,857
45.1%
👍
3,694
34.3%
😱
415
3.85%
🎉
230
2.14%
🤩
221
2.05%
👏
219
2.03%
🤣
209
1.94%
🙏
208
1.93%
😢
179
1.66%
🤯
156
1.45%
🤔
153
1.42%
😁
149
1.38%
🔥
40
0.372%
🥰
12
0.111%
⚡
11
0.102%
🕊
7
0.065%
😍
4
0.037%
👌
2
0.019%
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 186 of the 186 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 10,899 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 186 most recent posts we hold, published 31 July 2026 to 27 September 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.
오늘 주말라이브에서는 "알트코인"을 주제로 다뤘습니다.
https://naver.me/5ul4fSX4
물론.. 제가 알트코인 사자!를 이야기한 것은 아니었구요.
단기간에 알트코인이 많이 올랐는데,
앞으로 어떤 움직임을 보일 지 주목해보자!는 의미에서
그런데, 이미 #과열신호 가 나오고 있군요!
이런 생각을 하면서 보시는 건 어떨까요?
Crypto로 돈이 들어가야
스테이블 코인으로 어쩌구 저쩌구도 말이 된다
그래서 SEC에서 주식을
토큰으로 거래하도록 한시적으로 허용해준 거 아니겠나?
이러니 저러니 해도
돈이 움직이려면, 냄새가 나야하는데,
살~짝 냄새가 나기 시작한 것 아닐까? 라는 가설 정도!
1차 과열구간이 지난 이후, 어떤 움직임을 보이는 지를 확인하면서
전세계 투자시장의 유동성 환경도 체크해보시면 어떨까요?
🔗 Original | Author Darkfost
"알트코인 과열이 첫 번째 경고 신호를 만나다"
온체인 데이터는 알트코인이 보다 중요한 국면에 진입하고 있을 가능성을 시사합니다.
알트코인은 최근 상당한 자본을 흡수했습니다. 2026년 6월 이후 Total2(ETH 포함 알트코인 시가총액)에는 3,710억 달러 이상의 유입이 발생하며 불과 몇 달 만에 45% 상승했습니다.
알트코인에 대한 급격한 관심 증가는 주요 추세 지표인 200일 이동평균선 상회 비율에서도 확인됩니다. 바이낸스 상장 알트코인 중 80%가 이 수준을 하회했던 8월과 달리, 현재는 단 13%만 200일선 아래에 있으며 87%가 상승 추세로 전환했습니다.
이러한 변화는 알트코인 전반에 과열 심리가 형성되고 있음을 나타냅니다. 그러나 역사적으로 이런 국면은 지속 가능하…
네프콘 연간구독을 하시면,
빼놓을 수 없는 혜택이 하나 더 있습니다!
바로 "PER 다이어리"입니다.
올해의 색깔은 여권색으로 정해봤습니다.
다이어리의 퀄리티는 말할 것도 없고,
내용이 투자자에게 꼭 필요한 걸로만 꽉 차있습니다.
연말에 연간구독자 분들에게
보내드립니다~!
https://naver.me/5GcqMh4t
4주년 이벤트는
이제 3일밖에 안 남았습니다!
https://naver.me/5ECrAkFJ
5층짜리 케이크 "오늘만 무료" 시리즈!!
드디어 마지막 층까지 왔습니다 🎂
오늘은 마지막 주자,
AI가 실제 우리 일상과 만나는
#APPLICATION 입니다. 🤩📱
naver.me/56Xkjgov
오늘을 마지막으로
Macro → Energy → Chip → Infra → Model → Application까지
5-Layer Cake 전편
오늘만 무료 공개가 모두 끝납니다!
이런 콘텐츠를 매번 “오늘 무료인가?” 기다리지 않고,
그냥 보고 싶을 때 언제든 다 보고 싶으시다면 연간구독 하세요! ㅎㅎ
월 2만원대로 지금까지 쌓인 콘텐츠도, 앞으로 올라올 콘텐츠도 모두 보실 수 있습니다.
🚨 그리고 1년에 딱 한 번 하는 연간구독 할인 이벤트
이제 진짜 3일밖에 안 남았습니다!!
👇 자료 다시보기👇
🧭 Macro | naver.me/…
이효석아카데미 유튜브 채널 구독자가
2026년 9월 26일 오후 10시 14분에
70만명이 되었습니다!
첫 영상을 올린 게 2020년 4월이니, 6년 반이 걸렸네요. 저도 쉼 없이 달려왔지만 효친님들과 HS아카데미 팀원들이 없었다면 불가능했을 겁니다. 진심으로 감사드립니다.
오늘 아침 라이브를 하며 ‘70만 명이 되면 뭘 하지? 나도 조금 쉬면서 재충전해볼까?’ 생각했습니다. 그런데 마침 이경규 님의 이야기를 듣게 되었습니다. 후배가 재충전이 필요하다고 하자 이렇게 말했다고 하더군요.
“뭘 했다고 재충전을 하니? 그냥 꽂아놓고 쓰는 거다. 충전하면서 하는 거다.”
웃으면서 들었지만, 자꾸 생각이 났습니다. 저도 이 일을 오래 하고 싶거든요. 어떻게 해야 오래 할 수 있을까? 세가지 정도가 필요한 것 같습니다.
첫째, 솔직함입니다.
202…
주말안에 70만이 될 것 같습니다!
오늘 아침라이브를 하면서
70만이 되면 뭐하지? 라는 생각을 했는데
문득 “나도 좀 쉬고 싶다…”는
생각을 잠깐 했는데…!
이경규씨가 한 이야기를 들어버렸네요
”꼽아놓고 쓰는 거다~
재충전은 하면서 하는 거다“
그래서 평소에
재충전을 하면서 하는 걸로 ㅋㅋ
대신 힘들면 쉬구요 ^^
#솔직함
#즐거움
#오래하고싶은욕심
최근 블랙락에서 발간한
"The Machine-Native Economy"
보고서를 보니,
앞으로 다가올 세상에 대한 기대와 공포가 밀려와서
이 밤중에 갑자기 #미드나잇효 를 해야겠다는 생각이 들었습니다.
https://youtube.com/live/14eXWET5JWM?feature=share
풍성한 한가위 보내세요~!
오늘은 반도체 무료니까
꼭 챙겨 보시구요 ㅎㅎ
5층짜리 케이크 "오늘만 무료" 시리즈!!
오늘은 국내 투자자들에게 가장 중요한
#CHIP 입니다. 🤩🖥🫢
💾 Chip | https://naver.me/xrz39LAw
🧭 Macro | https://naver.me/FVFKojGM
⚡️ Energy | https://naver.me/xcgTa8gL
💾 Chip | https://naver.me/xrz39LAw ← 오늘 무료 ★★★
🏗 Infra | https://naver.me/Fx2N174s ← 금요일 무료
🧠 Model | https://naver.me/Fz8B7DX3 ← 토요일 무료
📱 Application | https://naver.me/56Xkjgov ← 일요일 무료
👍36❤12😁5🙏2
Showing the 12 most recent of 186 posts we hold for @HS_academy. 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
@HS_academy edited 2 posts 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
20 August 2026
Most recent edit
26 September 2026
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 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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 8 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
신영증권 박소연 @sypark_strategy · 29,465 Telegram ranks this channel #65 of 91 here — alongside 90 others — read 8 September 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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“HS아카데미 대표 이효석” (@HS_academy), 36,164 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/HS_academy.
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.