Other / unclassifiable — 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 20 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 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.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 12 other registered channels. This entry also forms a group of 2 channels linked by matching posts. 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)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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. 2 of the 2 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 2,332 comparable posts for this entry, running 5 August 2026 to 13 November 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).
Of the group of 2 channels, the one whose matching posts we hold earliest is @HANAchina — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 14 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.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
65 measurements spanning 100 days, net +965. 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 34,168–35,488 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
13 Nov 2026, 22:51
35,286
+13
11 Nov 2026, 06:49
35,273
-3
9 Nov 2026, 13:46
35,276
-2
8 Nov 2026, 06:08
35,278
+6
6 Nov 2026, 05:17
35,272
-5
5 Nov 2026, 04:47
35,277
-2
4 Nov 2026, 05:09
35,279
-9
3 Nov 2026, 05:09
35,288
-2
2 Nov 2026, 08:21
35,290
-4
1 Nov 2026, 11:37
35,294
-5
31 Oct 2026, 09:05
35,299
-8
30 Oct 2026, 07:06
35,307
+4
28 Oct 2026, 09:26
35,303
-1
27 Oct 2026, 07:55
35,304
-5
26 Oct 2026, 11:20
35,309
-7
25 Oct 2026, 09:46
35,316
-4
24 Oct 2026, 11:45
35,320
-7
23 Oct 2026, 14:54
35,327
-6
22 Oct 2026, 14:41
35,333
+4
21 Oct 2026, 09:01
35,329
first reading
Engagement
3,021 posts held, back to 5 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 183 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.78%
avg views ÷ 35,286 subscribers
Avg views / post
2,390
973 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
980
of 3,021 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 14 November 2026
Posts held
3,021 (5 August 2026 – 14 November 2026)
Views total
2,326,587
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 18:12 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
≈23,800
Videos
≈13
Links
≈28,300
Lifetime counters from Telegram’s own channel header, read 14 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: 593 of 980 posts held from the last 30 days (60.5%) 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).
>>골드만삭스 중국 리튬배터리 산업체인 조사 : 시장 예상보다 훨씬 덜 비관적
•골드만삭스가 선전에서 5개 배터리 업체와 6개 소재업체 대상 Battery Corporate Day 진행. 조사 결과 배터리 산업은 시장 예상보다 양호한 것으로 나타났음. 3분기 전 산업체인이 완전가동 또는 초과가동, 4분기 생산도 QoQ 증가세가 이어질 전망. 2027년 수요 증가율도 대부분 30%이상 제시
•소비세 전가 : ESS는 순조롭지만 승용차는 협상 중. ESS 고객은 소비세 전액 전가를 대부분 수용, 승용차는 완성차 업체별로 차이가 있음. 수익성이 높은 전통 완성차 업체는 상대적으로 협상이 수월하지만, 적자를 내는 신생 전기차 업체는 전가가 어려운 상황임. 대부분 업체는 2027년 1분기를 소비세 전가 완료의 핵심 시점
•수출환급세 폐지 : 신규…
>>Anthropic IPO 초과청약 6배…중국·홍콩 기관투자자 청약 제외 (대만공상시보)
•Anthropic IPO 초과청약 배수가 6배에 달한 것으로 알려졌음. Anthropic은 주당 70~78달러에 8.25억주를 발행해 11월 19일 나스닥에 상장할 예정이며, 공개시장 644억달러와 사모 방식 260억달러 등 최대 904억달러를 조달 계획
•시장 반응이 뜨거운 가운데 중국과 홍콩 기관투자자는 신주 청약 대상에서 제외됐음. 일부 주관사는 미국 「국제무기거래규정(ITAR)」과 관련된 문제를 이유로 중국·홍콩 투자자의 청약 주문을 받지 않은 것으로 알려졌음
>Anthropic IPO超額認購倍數達6倍 中港機構投資人遭排除 https://www.ctee.com.tw/news/20261114700730-430704
>>(요약) 월가와 실리콘밸리, Anthropic 상장 강력 추진: ‘대마불사’ AI 수호전
•22개 주요 투자은행이 공동 주관하고, 엔비디아·마이크로소프트 등 7개 빅테크 기업이 상장 직후 260억달러를 즉시 투자하기로 약속했음. AI 버블 우려와 젠슨 황 사임이라는 이중 악재 속에서 이번 ‘너무 중요해서 실패할 수 없는’ 대형 자본 이벤트가 AI의 미래에 대한 전체 기술 생태계의 신뢰 수준을 시험하고 있음
>원문 - 华尔街与硅谷强推Anthropic上市:一场“大而不能败”的AI保卫战 https://wallstreetcn.com/articles/3785948#from=ios
>>테슬라, 초청받은 개인에게 Cybercab 구매 개방, 시작가 2만9,990달러, 12월 첫 인도
•테슬라가 공식적으로 개인 소비자에게 핸들이 없는 Cybercab 예약을 개방, 시작가는 2만9,990달러, 첫 인도는 2026년 12월로 예정됨. 이 무인 자율주행 2인승 전기차는 테슬라의 가장 저렴한 모델이 될 예정이며, 머스크는 Cybercab 생산을 위해 Cybertruck 생산을 중단하는 선택까지 마다하지 않았음. 그러나 NHTSA가 이미 조사를 시작하면서 규제라는 암초가 자율주행 상용화를 둘러싼 이번 승부에 여러 불확실성을 더할 수 있음
>特斯拉向受邀个人开放Cybercab购买,起售价29990美元,首批12月交付 https://wallstreetcn.com/articles/3785947#from=ios
>>트럼프, 이란에 대한 군사 공격 잠정 중단 검토 (로이터)
•소식통에 따르면, 미국 대통령 트럼프는 최근 고위 보좌관들에게 미국이 이란이나 예멘 후티 반군으로부터 새로운 도발을 받지 않을 경우 이란에 대한 군사 공격을 잠정 중단할 가능성이 있다고 밝힘
>【报道:特朗普考虑暂缓对伊朗军事打击】知情人士透露,美国总统特朗普近日向高级顾问表示,如果美国未受到来自伊朗或也门胡塞武装的任何新挑衅,他可能会暂缓对伊朗采取军事打击。(路透) (来自华尔街见闻)
>>골드만삭스는 2027년 일본을 제외한 아시아주식시장(MSCI Asia ex-Japan Index) 수익률이 19%에 달할 것으로 전망
•골드만삭스는 AI 분야의 불확실성이 시장 변동성을 확대할 수 있지만, 기업 이익 증가가 여전히 시장을 견인하면서 MSCI 일본 제외 아시아 지수(MSCI Asia ex-Japan Index)가 내년 달러 기준 19%의 수익률을 기록할 것으로 전망
•골드만삭스는 중국 H주와 인도 증시에 대한 투자의견을 ‘비중확대’로 상향했으며, 한국과 일본 증시에 대해서는 기존 ‘비중확대’ 의견을 유지
>高盛集团预计,尽管人工智能(AI)领域的不确定性可能加剧市场波动,但企业盈利增长仍将推动MSCI日本以外亚洲指数(MSCI Asia ex-Japan Index)明年以美元计价实现19%的回报率。该行将中国H股和印度股市的评级上调至“超配”…
>>Nissan, 중국 시장에 다시 승부수를 던지다
•Nissan과 Dongfeng은 판매 부진에도 향후 3년간 중국 사업 투자를 확대하기로 했음. Nissan은 2026년 중국 판매 목표를 기존 58만대에서 37만~40만대로 하향 조정했지만, 중국에서 개발한 차량의 글로벌 수출 가능성을 고려해 투자를 지속하기로 했음
•Dongfeng Nissan은 플러그인 하이브리드 SUV NX7을 12.99만~14.99만위안에 출시 예정. CATL의 40.9kWh LFP 배터리를 탑재해 CLTC 기준 순수 전기 주행거리 320km를 확보, LiDAR와 Momenta R7 자율주행 보조 시스템 등도 적용
•Nissan은 중국 내 신에너지차 라인업을 확대하고 있음. N7·N6 세단에 이어 NX8·NX7 SUV를 출시했으며, 향후 신차에는 순수 전기차를 …
>>엔비디아 실적과 Anthropic의 1조 달러 IPO 연이어 등장, 다음 주 AI 투자에 더 큰 시험대
•젠슨 황 사임의 여파가 가시지 않은 가운데, 다음 주 AI 산업은 두 가지 중요한 시험대에 직면할 전망임. 엔비디아는 ‘젠슨 황 이후 시대’의 첫 실적을 발표할 예정임. 시장 예상에 미치지 못하는 실적을 발표할 경우 주가에 대한 시장의 처벌 강도는 더욱 커질 수 있음
•Anthropic도 1조 달러 기업가치를 내세운 대형 IPO를 앞두고 있음. 두 가지 불확실성이 연이어 부각되면서 글로벌 자본시장의 AI 투자에 대한 신뢰가 지속될 수 있을지가 직접적인 시험대에 오를 전망
>英伟达财报、Anthropic万亿IPO接连登场!AI交易更大的考验在下周 https://wallstreetcn.com/articles/3785944#from=ios
>>CATL, 전 차종에 과감하게 교체형을 적용할 동맹을 만나다 (중국언론)
•중국 국유 자동차 기업 BAIC Group(베이징자동차그룹)의 전기차 브랜드 ARCFOX가 CATL과 협력해 배터리 교체 방식의 적용 범위를 전 차종으로 확대하고 있음. 11월 13일 ARCFOX는 Beta S3 레이더 교체형과 Beta T1 교체형을 동시에 출시했음. S3는 올해 5월 출시한 첫 교체형 모델로, 구매자의 약 70%가 교체형을 선택했고 누적 배터리 교체 횟수는 10만회를 넘어섰음. 이에 따라 2027년에는 Beta, Alpha, YuanDao 3개 시리즈의 전 차종에 교체형 모델을 출시할 계획
•S3의 성과 이후 ARCFOX의 판매량도 증가했음. 10월 판매량은 2만6,325대로 전월비 22.3%, 전년비 12.56% 증가했고, 올해 1~10월 …
>>젤렌스키 “미국, NATO 가입 대가로 우크라이나에 영토 할양 제안”
•우크라이나 국가통신사는 14일 젤렌스키 우크라이나 대통령이 기자들에게 미국 측이 우크라이나에 돈바스 지역을 포기하는 대가로 NATO 가입 자격을 얻는 방안을 제안한 적이 있다고 밝혔다고 보도
>泽连斯基:美国建议乌克兰割让领土以换取加入北约 - 据乌克兰国家通讯社14日报道,乌克兰总统泽连斯基当天对记者表示,美方曾提出让乌克兰放弃顿巴斯地区,以换取北约成员国的资格。(新华社)
>>‘AI 중앙은행’ 조타수 잃었다…월가 “젠슨 황의 퇴진이 AI판 양적긴축 촉발할 것” 경고 (중국언론)
•젠슨 황의 퇴진으로 지분 투자, 보증, 자사주 매입 등을 통해 5,000억달러가 넘는 규모의 AI 순환형 금융 구조를 구축해온 엔비디아가 운용의 중심을 잃게 됐음
•골드만삭스와 UBS는 엔비디아가 분기마다 창출하는 잉여현금흐름 가운데 상당한 자금이 고객사와 공급업체로 다시 순환되고 있다고 경고. 이 자금 순환이 일시적으로라도 중단될 경우 500억달러 이상의 자금이 시장에서 빠져나가는 효과가 발생할 수 있으며, 이는 ‘AI판 양적긴축’을 촉발해 신흥 클라우드 서비스 업체들의 신용 사슬이 가장 먼저 타격을 받을 수 있다는 분석
>“AI央行”失去掌舵人,华尔街警告:黄仁勋离开将引爆“AI版量化紧缩”! https://wallstreetcn.c…
Showing the 12 most recent of 3,021 posts we hold for @HANAchina. 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
@HANAchina edited 10 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
9 August 2026
Most recent edit
13 November 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 155 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 12 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.
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 2 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.
[메리츠 Tech 김선우, 양승수, 김동관] @merITz_tech · 24,857 Telegram ranks this channel #15 of 92 here — alongside 91 others — read 17 September 2026
[하나증권 ETF] 박승진 @globaletfi · 20,610 Telegram ranks this channel #25 of 86 here — alongside 85 others — read 28 September 2026
TNBfolio @TNBfolio · 25,195 Telegram ranks this channel #25 of 93 here — alongside 92 others — read 15 September 2026
유진투자증권 코스닥벤처팀 @SmallCap · 22,982 Telegram ranks this channel #43 of 96 here — alongside 95 others — read 19 September 2026
신영증권 박소연 @sypark_strategy · 29,245 Telegram ranks this channel #50 of 91 here — alongside 90 others — read 8 September 2026
실시간 주식 뉴스 @realtime_stock_news · 36,956 Telegram ranks this channel #50 of 93 here — alongside 92 others — read 2 September 2026
여의도스토리 Ver2.0-习近平是个狗东西 @YeouidoStory2 · 57,976 Telegram ranks this channel #53 of 92 here — alongside 91 others — read 2 September 2026
HS아카데미 대표 이효석 @HS_academy · 36,206 Telegram ranks this channel #57 of 90 here — alongside 89 others — read 8 September 2026
YIELD & SPREAD @yieldnspread · 22,083 Telegram ranks this channel #60 of 89 here — alongside 88 others — read 21 September 2026
허혜민의 제약/바이오 소식통 @huhpharm · 24,264 Telegram ranks this channel #66 of 93 here — alongside 92 others — read 16 September 2026
엄브렐라리서치 Jay의 주식투자교실 @Jstockclass · 26,508 Telegram ranks this channel #68 of 90 here — alongside 89 others — read 13 September 2026
키움증권 미국주식 톡톡 @kwusa · 36,188 Telegram ranks this channel #68 of 92 here — alongside 91 others — read 2 September 2026
시장 이야기 by 제이슨 @bumgore · 35,364 Telegram ranks this channel #68 of 89 here — alongside 88 others — read 2 September 2026
KK Kontemporaries @kkkontemp · 21,183 Telegram ranks this channel #75 of 84 here — alongside 83 others — read 30 September 2026
Rafiki research @rafikiresearch · 20,656 Telegram ranks this channel #75 of 88 here — alongside 87 others — read 26 September 2026
AWAKE - 실시간 주식 공시 정리채널 @darthacking · 65,784 Telegram ranks this channel #81 of 91 here — alongside 90 others — read 2 September 2026
Yeouido Lab_여의도 톺아보기 @Yeouido_Lab · 43,450 Telegram ranks this channel #86 of 90 here — alongside 89 others — read 2 September 2026
가치투자클럽 @corevalue · 67,105 Telegram ranks this channel #86 of 93 here — alongside 92 others — read 2 September 2026
주식 급등일보🚀급등테마·대장주 탐색기 | Korean Stocks @FastStockNews · 128,811 Telegram ranks this channel #89 of 92 here — alongside 91 others — read 2 September 2026
This channel appears in 20 seed channels' Telegram-generated recommendation lists in total, of which the 19 where it ranks highest are shown above. 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 13 November 2026 — this
entry's latest reading, not the date you are reading this.
“하나 중국/신흥국 전략 김경환” (@HANAchina), 35,286 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/HANAchina.
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.