RE - LTF Accumulation 📈
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Channel
@SasukeChart
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
8,538subscribers
+53 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001731411148 |
|---|---|
| Type | Channel |
| Username | @SasukeChart |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/SasukeChart |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 12:55 | 8,538 | +31 |
| 11 Aug 2026, 01:11 | 8,507 | -7 |
| 7 Aug 2026, 20:08 | 8,514 | +29 |
| 7 Aug 2026, 05:45 | 8,485 | first reading |
27 posts held, back to 28 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 12 pagesof 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 12 August 2026 |
|---|---|
| Posts held | 27 (28 July 2026 – 12 August 2026) |
| Views total | 99,800 |
| Reactions total | 2,658 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 16:16 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.
2,658 reactions across 27 posts, in 6 distinct kinds. The most used accounts for 52.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,402 | 52.7% | |
| 👍 | 366 | 13.8% | |
| 💯 | 299 | 11.2% | |
| 🔥 | 268 | 10.1% | |
| 🙏 | 253 | 9.52% | |
| 👌 | 70 | 2.63% |
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 27 of the 27 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 2,658reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 28 July 2026 to 12 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.
RE - LTF Accumulation 📈
❤51👍11👌5🔥4🙏3💯1
BTC - LTF Distribution ing ... ⏳️ 그나마 있는 변동성 쥐어짜서 거래하기 🤣
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BTC - LTF Distribution 🚨 아직 분배 과정에서 벗어나지 못하고 있습니다.
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PHA - Uptrend Continuation TP1 🎯 다들 알다시피 비트코인 변동성이 극악이기 때문에, 이럴 때는 로우캡으로 시장에서 기회를 찾는게 좋음. 근데 비트코인도 곧 변동성 터질듯 ㅇㅇ
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PHA - Uptrend Continuation 📈 상승 추세 지속에서 나타나는 볼륨-캔들 하모니
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BMT - Accumulation 🎯 캔들+볼륨=원할 때마다 뽑아 먹는 자판기 "실전 와이코프"
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RONIN - Accumulation 🎯 캔들+볼륨=ATM "진짜 와이코프"
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SPCX - LTF Accumulation 🎯 거래량과 캔들은 가장 기본이며 주요한 요소입니다. 거래량을 해석하지 못하면, 피보나치 긋고 코끼리파동 낙서해봐야 의미가 없습니다.
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ESP - Accumulation 🎯 지표, 온체인, 기타 등등 필요없이 간단하게 캔들과 볼륨 두 개만으로 한 번 와이코프에 익숙해지면, 자판기에서 음료수 뽑아먹듯이 주구장창 써먹을 수 있습니다. 알트코인, 특히 시총이 낮을 수록 Composite Operator 의 흔적이 선명하게 나타납니다. 세력의 발자국을 뒤따라가는 거래. 와이코프 아카데미에서는 이 발자국을 찾아내는 방식을 다룹니다. 학습 의지와 주도적인 열정이 있는 분은 언제나 환영합니다. 📚 와이코프 아카데미 구독 가이드 👈🏻
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ESP - Accumulation 📈
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SPCX - Accumulation 📈 주구장창 내릴 때 사지말고, 거래량 터지면서 하방이 제한적일 때 사기 시작하면 좋습니다. 와이코프에서는 Composite Operator 라고 정의하는, 흔히들 이야기하는 '세력' 이 사고 있다는 뜻이기 때문에 ... [와이코프 아티클 1-3 | Composite Operator 가설은 왜 여전히 유효한가] CO 에 대해서는 아티클에서 자세히 다뤘습니다. 오늘 기분 좋아서 전체 공개 해뒀습니다.
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LA - Downsloping Accumulation 🎯
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Showing the 12 most recent of 27 posts we hold for @SasukeChart. 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 — 1,253,436 of 1,350,102entries 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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“사스케의 차트 조각들” (@SasukeChart), 8,538 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/SasukeChart.
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.