[공지 ] 해피엔딩은 먼저 연락하지 않습니다 🚨#인스타그램 DM #사칭 주의하세요 🚨#카페 댓글 쪽지도 주의

Channel
주식 해피엔딩 시나리오 [차트 재료 일정 매매]
@happyscena
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
4,241subscribers
+9 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 | -1001308921981 |
|---|---|
| Type | Channel |
| Username | @happyscena |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/happyscena |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 12:08 | 4,241 | +9 |
| 7 Aug 2026, 05:04 | 4,232 | no change |
| 7 Aug 2026, 03:15 | 4,232 | first reading |
Engagement
41 posts held, back to 7 August 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 5 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.91%
- avg views ÷ 4,241 subscribers
- Avg views / post
- 208
- 41 posts measured
- Reaction rate
- 0.482%
- reactions ÷ views · ER floor
- Posts in window
- 41
- of 41 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 3 of 41 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 41 (7 August 2026 – 8 August 2026) |
| Views total | 8,542 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 12:01 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
3 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 100.0% |
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 3 of the 41 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 41 most recent posts we hold, published 7 August 2026 to 8 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
[공지] 10주년 이벤트 [ #50%할인+최대1년연장 ] 기간 : 8/10까지
Photo, posted without a caption
월가 'ATM' 된 삼전닉스?…반도체 저승사자도 "이젠 살 때 https://n.news.naver.com/article/015/0005318700?sid=101 기사에서 꼽은 촉매는 크게 3가지 1. 숏커버링 및 외국인 수급 회복 2. SK하이닉스·삼성전자의 주주환원 강화 3. 2027년 HBM 가격·물량이 예상보다 강하다는 확인 특히 SK하이닉스는 3분기 중 추가 주주환원책을 구체적으로 발표할 예정이라는 점을 강조 👉 “악재가 펀더멘털 악화라기보다 수급성 악재였다면 반등 여지는 크다. 다만 반등 = 곧바로 전고점 돌파는 쉽지 않다
8월 남은 증시일정 '리마인딩' (고잉)
08/10~08/14 주간 이슈: 소비자물가지수와 금리, 그리고 테마주 최근 리사 쿡 연준 이사는 연설을 통해 인플레이션 안정세가 확실하게 확인되지 않을 경우 긴축 가능성을 배제할 수 없다고 언급. 특히 물가 상승률이 연준 목표인 2%를 향해 지속적으로 둔화한다는 명확한 데이터가 통화정책 판단의 핵심 전제조건이라고 강조. 이러한 매파적 발언은 시장 내 9월 FOMC 정책 기대와 국채금리 상승 압력을 자극하는 배경으로 작용. 다만 최근 발표된 7월 미국 고용보고서에서 민간 부문 고용 창출이 둔화(3개월 평균 +4.0만 명)돼 금리인상 가능성은 다 소 완화. 최근 국채금리의 상승은 연준 인사들의 매파적 발언과 함께 물가가 다시 상승할 경우 금리 인상 가능성이 높음을 보여줌. 물론 하이퍼스케일러들의 대규모 회사채 발행과 영국, 일본 이슈 등이 …
📌 코스닥 낙동강 방어선 200월선 이탈 후 반등 사례 1) 과거 반등 사례 성과 (5회) 2) 상승 기간: 평균 10개월 (중위값 12개월) 3) 상승률: 평균 +72.2% (중위값 +62.5%)
■ (고용지표 발표후) 9월 미국 금리인상 가능성 1) fedwatch 인상(44%), 동결(56%) 2) 폴리마켓 인상(33%), 동결(66%) 3) kalshi 인상(34%), 동결(66%) https://www.cmegroup.com/markets/interest-rates/cme-fedwatch-tool.html ■ 향후 금리관련 이벤트 일정 -미 CPI 소비자물가지수 (8/12) -FOMC 회의록 공개 (8/19) -잭슨홀 미팅 (8/27~8/29) 케빈워시 메시지 -미 FOMC 금리결정 (9/17.03시) (고잉)
거래대금 15분의 1 급감…ETF 비중도 6분의 1토막[레버리지 그후①] https://n.news.naver.com/article/003/0014115286
8월 8일 시황. '적당한 타이밍'에 나온 고용 둔화 고용 둔화에 금리인상 가능성 낮아지며 상승 S&P500 사상 처음 7,700p 돌파 에너지, 커뮤니케이션 서비스, 금융 업종만 하락 7월 비농업일자리 -2.3만. 예상 8만 크게 하회 정부 고용이 -5.3만 감소한 영향. 민간은 +3만 6월 5.7만 → 2만. 5월 12.9만 → 6.3만. 총 -10.3만 수정 실업률은 4.1%로 예상 4.2% 보다 낮았음 실업률 하락은 노동시장 참여율이 낮아진 것 때문 다만 이 같은 수치는 일시적 현상이라는 분석도 레스토랑, 공연 예술, 스포츠 등 감소, 즉, 월드컵 영향 또 지방 정부 일자리 감소는 휴가 시즌 영향 주장도 월가 의견은 갈림. 고용 보다 인플레가 더 중요 울프리서치는 노동시장 추세 자체 냉각 중 BI. 공격적 인상 가능성 걷어내는 결과…
반도체에 발목 잡힌 증시, 중동·물가 경계도 부담 [FICC리서치부 전략/시황: 이경민] - 국내 증시 수익률(14시 45분): KOSPI -0.84% 하락 / 6,243.44pt (KOSDAQ: -1.15% 하락 / 792.49pt) - 원/달러 환율 1420.4원 (-3.7원, 종가대비) - 업종 Top3: 화학(+3.46%), 음식료·담배(+2.87%), 제약(+1.67%) - 업종 Bottom3: 증권(-3.22%), 건설(-2.98%), 보험(-2.10%) - 국내증시 오후장 흐름 및 코멘트 외국인 순매도에도 기관, 금융투자 수급 유입되며 박스권 등락 흐름 코스피: 외국인 -7,387 억원 순매도 / 기관 +6,088 억원 순매수 / 개인 +1,214 억원 순매수 코스닥: 외국인 -2,565 억원 순매도 / 기관 -1,335 억…
마감 시황. 코스닥은 1월 이 후 주간 최대폭 상승 금리, 유가 상승, 지표 앞둔 경계감에 매물 샌디스크 하락, 알파벳 회사채 발행 등도 영향 장 초반은 대형주 매수 유입되며 상승 출발 전일 하락에 샌디스크 이슈는 선반영되었다는 인식 샌디스크는 가이던스를 보수적으로 제시하는 편 직전 분기에도 상당히 낮게 제시. 실제는 잘 나옴 심각한 업황 문제는 아니라는 인식 다만 중동 정세 불안, 일부 대형주 노이즈는 약세 요인 중동 정세 아직까지 정돈되지는 못한 모습 합의 막바지로 보이나 해협 통과 방식 두고 갈등 향 후 수수료. 미국, 이스라엘 선박 통행 문제 등 이란 의회. 미국과 이스라엘 선박은 통행 금지 검토 주말 이내 결과 기대했던 투자자들에게는 부담 확정되기 전 양측의 기싸움으로 보임 일단 유가가 오르며 우리 증시에 부정적 영향 또 알파…
Showing the 12 most recent of 41 posts we hold for @happyscena. 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 — 192,509 of 1,160,990entries 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.
Mentions
Named by 3 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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“주식 해피엔딩 시나리오 [차트 재료 일정 매매]” (@happyscena), 4,241 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/happyscena.
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.