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Channel

유안타 News 라운지

@tRadarnewsdesk

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

9,864subscribers

-82 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-1001080519355
TypeChannel
Username@tRadarnewsdesk
Created9 March 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live15 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/tRadarnewsdesk

Topic

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 69% 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.

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.

Content that also appears on other registered channels

Posts published here appear word for word on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@yuantaresearch/138843 Aug 2026, 23:26 UTC@tRadarnewsdesk/19094 · this entry3 Aug 2026, 23:26 UTC1.00under a minute
@yuantaresearch/138894 Aug 2026, 23:13 UTC@tRadarnewsdesk/19096 · this entry4 Aug 2026, 23:13 UTC1.00under a minute
@yuantaresearch/138905 Aug 2026, 23:37 UTC@tRadarnewsdesk/19100 · this entry5 Aug 2026, 23:37 UTC1.00under a minute
@yuantaresearch/138925 Aug 2026, 23:37 UTC@tRadarnewsdesk/19102 · this entry5 Aug 2026, 23:37 UTC1.00under a minute
@yuantaresearch/138935 Aug 2026, 23:37 UTC@tRadarnewsdesk/19103 · this entry5 Aug 2026, 23:37 UTC1.00under a minute
@yuantaresearch/138966 Aug 2026, 23:18 UTC@tRadarnewsdesk/19107 · this entry6 Aug 2026, 23:18 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@yuantaresearch12 (8/8 hand-verifiable sample passed)1.00under a minute@yuantaresearch (120)
@yuantais8 (8/8 hand-verifiable sample passed)1.00under a minute@yuantais (80)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 8 of the 19 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 20 comparable posts for this entry, running 3 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 3, the earliest publisher we hold is @yuantaresearch. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

9,8649,9469,9057 August 2026 — 9,946 subscribers7 August 2026 — 9,946 subscribers8 August 2026 — 9,944 subscribers11 August 2026 — 9,938 subscribers14 August 2026 — 9,933 subscribers17 August 2026 — 9,928 subscribers21 August 2026 — 9,925 subscribers24 August 2026 — 9,909 subscribers27 August 2026 — 9,905 subscribers30 August 2026 — 9,898 subscribers2 September 2026 — 9,896 subscribers6 September 2026 — 9,884 subscribers11 September 2026 — 9,873 subscribers15 September 2026 — 9,864 subscribers7 August 202615 September 2026
14 measurements spanning 39 days, net -82. 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 9,852–9,958 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 10:399,864-9
11 Sept 2026, 12:189,873-11
6 Sept 2026, 16:019,884-12
2 Sept 2026, 15:339,896-2
30 Aug 2026, 17:069,898-7
27 Aug 2026, 14:129,905-4
24 Aug 2026, 21:429,909-16
21 Aug 2026, 07:089,925-3
17 Aug 2026, 23:039,928-5
14 Aug 2026, 17:469,933-5
11 Aug 2026, 01:219,938-6
8 Aug 2026, 00:469,944-2
7 Aug 2026, 09:309,946no change
7 Aug 2026, 09:289,946first reading

Engagement

114 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 36 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.10%
avg views ÷ 9,864 subscribers
Avg views / post
404
16 posts measured
Reaction rate
0.223%
reactions ÷ views · ER floor
Posts in window
16
of 114 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 1 of 16 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 August 2026
Posts held114 (3 August 202628 August 2026)
Views total6,467
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 04:32 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.

Reaction mix

34 reactions across 29 posts, in 4 distinct kinds. The most used accounts for 88.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3088.2%
👍25.88%
👏12.94%
🤔12.94%

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 30 of the 114 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 34 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 114 most recent posts we hold, published 3 August 2026 to 28 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

28 Aug 2026, 08:13 UTC313 viewsread 29 August 2026

[국내주식 마감시황] V자 반등은 아니지만 한계단 한계단 (8/27) 🧿유안타 [시황 이재원 (02-3770-5719)] KOSPI 6,912pt(+1.5%), KOSDAQ 838pt (+1.3%) ① 해외 시황 : 엔비디아 실적 경계감에 따른 관망세 -간밤 미국 주식시장은 PCE 물가 확인 후 엔비디아 실적에 대한 경계감 속 관망세(나스닥 -0.1%, S&P500 -0%, 다우 -0.2%, 필라델피아 반도체지수 +0.2%). 7월 PCE는 헤드라인이 예상치 소폭 상회했으나 근원 물가는 대체로 컨센서스에 부합. 국채금리 소폭 상승. 장 마감 후 엔비디아 호실적 발표에 시간외 5% 가량 반등 ② 수급 : 기타법인 순매수, 증시 상승 전환 동력으로 작용 -KRX KOSPI 현물 기준 개인 -2.8조, 외국인 +0.7조, 기관 +0.5

28 Aug 2026, 07:06 UTC385 viewsread 29 August 2026

금리 환경 Bull-Steepening 성격 변화로, 1) AI Capex 슈퍼 사이클 지속 가능성과 주요 하이퍼스케일러 재무 리스크 관련 시장 일각의 회의론은 빠르게 잦아들 공산이 크며, 2) 이는 달러-원 환율 하향 안정화를 경유해 글로벌 투자가측 국내증시 및 AI/반도체 밸류체인 대표주 괄목상대 행렬로 반영될 전망 - 9월 포트폴리오/주도주 전략 초점은, 1) Bull-Steepening 금리 국면 내 시장 대비 초과성과 확보가 가능했던 Winner 실적주 길목 지키기, 2) 고물가/고긴축/고금리 잠복 리스크 헤지를 위한 Short Equity Duration 투자대안 옥석 가리기 과정으로 이원화될 것으로 판단. 반도체, IT가전(2차전지), 기계(전력장비), 조선, 바이오 대표주가 관련 맥락에 부합하는 전략대안에 해당 *본 내용은

28 Aug 2026, 07:06 UTC378 viewsread 29 August 2026
Photo

🧿 [8/28, 9월 주식시장 전망과 전략] 베센트/워시 공조와 AI/반도체 귀환 유안타 주식전략 김용구(02-3770-3521) 유안타 시황 이재원(02-3770-5719) 텔레그램: < https://t.me/ConvictionCall > Key Takeaways ▶ 9월 KOSPI 6,700~8,100Pt, 계단식 정상화 지속 ▶ 베센트-워시 정책공조, 장기금리 정점통과 임박 ▶ 반도체·조선 등 Bull-Steepening 승자 주목 - 9월 KOSPI는 지수 6,700(I/B/E/S 집계 12개월 선행 P/E -1.5σ 5.7배) ~ 8,100Pt(P/E -0.5σ 6.9배) 밴드 내 중립 이상의 장세 흐름 전개를 예상. KOSPI 중심선은 잠복 불확실설 변수의 경과를 확인하며 9월 MDD -20%(7,300Pt선), 10월 -

27 Aug 2026, 23:27 UTC374 viewsread 29 August 2026

🧿 유안타 AI 미국 주식시장 마감시황(8/28) [퀀트 신현용 (02-3770-3634)] [시황 이재원 (02-3770-5719)] ━━━━━━━━━━━━━━━ 🤖 AI 한줄평 엔비디아의 실적 서프라이즈가 하루 만에 4,420억 달러의 시가총액을 더하며 AI 성장주 전반에 자신감을 불어넣었고, 세일즈포스·크라우드스트라이크의 소프트웨어 랠리까지 가세한 기술주 독주의 하루였습니다. 다만 방어주는 일제히 뒤처졌고, 시장의 시선은 오늘 밤 워시 연준 의장의 첫 잭슨홀 연설로 향합니다. ━━━━━━━━━━━━━━━ 🔥 [1] 오늘의 핵심 이슈 5가지 1️⃣ 엔비디아 실적 호조에 기술주 주도 3대 지수 상승 • 엔비디아 분기 실적과 매출 가이던스가 예상 상회, AI 수요 지속 확인되며 하루 시가총액 4,420억 달러 증가에 나스닥 +1.

27 Aug 2026, 08:28 UTC470 viewsread 29 August 2026

[국내주식 마감시황] V자 반등은 아니지만 한계단 한계단 (8/27) 🧿유안타 [시황 이재원 (02-3770-5719)] KOSPI 6,912pt(+1.5%), KOSDAQ 838pt (+1.3%) ① 해외 시황 : 엔비디아 실적 경계감에 따른 관망세 -간밤 미국 주식시장은 PCE 물가 확인 후 엔비디아 실적에 대한 경계감 속 관망세(나스닥 -0.1%, S&P500 -0%, 다우 -0.2%, 필라델피아 반도체지수 +0.2%). 7월 PCE는 헤드라인이 예상치 소폭 상회했으나 근원 물가는 대체로 컨센서스에 부합. 국채금리 소폭 상승. 장 마감 후 엔비디아 호실적 발표에 시간외 5% 가량 반등 ② 수급 : 기타법인 순매수, 증시 상승 전환 동력으로 작용 -KRX KOSPI 현물 기준 개인 -2.8조, 외국인 +0.7조, 기관 +0.5

26 Aug 2026, 23:39 UTC567 viewsread 29 August 2026

유안타 리서치센터 데일리 섹터 News & Comments(08/27)_5 ▶글로벌 기업 주가 - 상승: MUFG +1.4%, MetLife +0.7%, Swiss Re +0.4% - 하락: Goldman Sachs -1.7%, Morgan Stanley -1.2%, HSBC -0.9% ▶News & Data “글로벌 스탠다드 아냐”...지주회장 3연임 금지 명문화 안하기로 - link: https://buly.kr/DwGqqaE 카카오뱅크 노조, 내주 총파업 취소…"노사 간 큰 틀에서 합의" - link: https://buly.kr/E7BbpPA 박현주 "디지털X 흑자나면 내년 3000억 추가 증자" - link: https://buly.kr/5q9zj4C 우리銀 기업대출 모집 법인 설립…업계 첫 등록… 생산적 금융 확대 - l

26 Aug 2026, 23:39 UTC431 viewsread 29 August 2026

유안타 리서치센터 데일리 섹터 News & Comments(08/27)_4 ■ 제약/바이오 하현수(02-3770-2688) ▶글로벌 제약/바이오 기업 주가 - 하락: Moderna -5.8%, Eli lilly -3.6%, CRISPR -2.7% ▶News & Data SK바이오팜, 1.1조 베팅…뇌전증약 기술도입 계약 - link: https://m.site.naver.com/2fgZh FDA greenlights Revolution Medicines' pancreatic cancer gamechanger - link: https://m.site.naver.com/2fgZ9 Akeso CEO looks beyond lung cancer with biliary tract win, counters ivonescimab debate -

26 Aug 2026, 08:49 UTC523 viewsread 29 August 2026

[국내주식 마감시황] 상단 제약하던 지정학적 갈등 완화 (8/26) 🧿유안타 [시황 이재원 (02-3770-5719)] KOSPI 6,808pt(+1%), KOSDAQ 827pt (-0%) ① 해외 시황 : 금리와 유가 부담 완화되며 반도체 다시 살아난 하루 -전일 미국 주식시장은 금리와 유가 하락, 반도체 반등에 힘입어 상승 마감(나스닥 +0.7%, S&P500 +0.3%, 다우 +0.3%, 필라델피아 반도체지수 +1.4%). 미 재무부의 TGA 활용 장기채 매입 가능성 시사한 가운데 대이란 제재가 예상보다 강하지 않았음. 호르무즈 해협 관련 협상 기대까지 더해지며 장기물 금리 하락. 국제유가도 하락. 반도체는 엔비디아 실적 앞둔 경계감 완화되며 반등. 엔비디아 8거래일만 상승 전환. 결국 금리와 유가 부담 완화되며 반도체 다시 살아

25 Aug 2026, 23:08 UTC449 views1 reactionsread 29 August 2026
Forwarded from @yuantais

🧿 유안타 AI 미국 주식시장 마감시황(8/26) [퀀트 신현용 (02-3770-3634)] [시황 이재원 (02-3770-5719)] ━━━━━━━━━━━━━━━ 🤖 AI 한줄평 엔비디아 실적과 PCE 발표를 앞두고 기술주가 반등을 주도한 가운데, 미국의 대이란 전략이 군사에서 경제 압박으로 선회하며 유가가 4.6% 급락한 하루였습니다. 국채 금리 동반 하락 속 위험선호가 회복되었고, 신흥국 증시의 반등을 한국(EWY +3.75%)이 주도했습니다. ━━━━━━━━━━━━━━━ 🔥 [1] 오늘의 핵심 이슈 5가지 1️⃣ 기술주 주도로 4대 지수 동반 상승 • 엔비디아 실적과 PCE 발표를 앞두고 기술주가 반등하며 나스닥 +0.66%, S&P 500 +0.32%, 다우 +0.30%, 러셀2000 +0.50% 마감 • AMD +4

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25 Aug 2026, 08:28 UTC622 viewsread 29 August 2026

[국내주식 마감시황] 장초 저가 대비 줄기차고 강한 반등 = 수급의 힘 (8/25) 🧿유안타 [시황 이재원 (02-3770-5719)] KOSPI 6,742pt(+0.7%), KOSDAQ 827pt (+1.7%) ① 해외 시황 : 하락한 금리, 그럼에도 반등하지 못한 반도체 -전일 미국 주식시장은 금리 하락에도 반도체 중심 하락하며 혼조 마감(나스닥 -0.8%, S&P500 -0.3%, 다우 +0.3%, 필라델피아 반도체지수 -2.7%). 재무부의 TGA 약 1조달러 바이백 활용 검토 보도에 10년물 4.70%로 하락, 유가도 차익실현에 하락 전환. 그럼에도 국내 삼성전자, SK하이닉스 급락 여파와 엔비디아 AI 서버 가격 15% 인상설에 따른 비용 압박 우려로 반도체 및 엔비디아(-2.9%) 하락. 반면 엔비디아 제외한 주요 빅테크(

24 Aug 2026, 23:39 UTC446 viewsread 29 August 2026

🧿 유안타 AI 미국 주식시장 마감시황(8/25) [퀀트 신현용 (02-3770-3634)] [시황 이재원 (02-3770-5719)] ━━━━━━━━━━━━━━━ 🤖 AI 한줄평 베센트 재무장관이 이란 경제 제재안을 공개하며 유가가 하락한 가운데, 반도체 등 기술주에서 카드사·필수소비재 등의 섹터로 자금이 이동한 순환매의 하루였습니다. 한편, 금과 비트코인은 나란히 상승하며 연일 랠리를 지속하고 있습니다. ━━━━━━━━━━━━━━━ 🔥 [1] 오늘의 핵심 이슈 5가지 1️⃣ 대형 블루칩 강세 vs 기술주 약세, 지수 엇갈림 • 다우 +0.26% 상승 마감한 반면 나스닥 -0.76%, S&P 500 -0.28%, 러셀2000 -0.76% 하락 마감 • 기술(XLK) 섹터가 -1.78%로 가장 부진, 필수소비재(+1.70%

24 Aug 2026, 23:22 UTC400 viewsread 29 August 2026

유안타 리서치센터 데일리 섹터 News & Comments(08/25)_5 ■ 금융 우도형(02-3770-5589) ▶글로벌 기업 주가 - 상승: MetLife +2.0%, Berkshire Hath +1.7%, JPMorgan Chase +1.4% - 하락: HSBC -0.9%, MUFG -0.8%, Goldman Sachs -0.3% ▶News & Data ‘코인 금고’가 새 먹거리…은행권, 커스터디 투자 속도 - link: https://buly.kr/Gkuxok8 우리銀, 해외영업망 재편…지점 20곳 줄였다 - link: https://buly.kr/74ZHrsV 퇴직연금 실물이전 16조 육박… DC→타사 IRP 길 열린다 - link: https://buly.kr/Ga0Cpw8 유안타 리서치센터 기업분석팀 채널 htt

Showing the 12 most recent of 114 posts we hold for @tRadarnewsdesk. 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.

Forward network

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

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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“유안타 News 라운지” (@tRadarnewsdesk), 9,864 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/tRadarnewsdesk.

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.