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Channel

【华尔街见闻】- 财经时讯 | AI 实时互动

@FinanceNewsDaily

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

59,438subscribers

+5,616 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001132332373
TypeChannel
Username@FinanceNewsDaily
CreatedBetween 1 June 2017 and 30 September 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 November 2026
Measurements held66
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/FinanceNewsDaily

Topic

Technology — 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 58% 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 1 other registered channel. 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)
Posted firstThenOverlapGap
@FinanceNewsDaily/492256 · this entry7 Aug 2026, 12:35 UTC@Showmoney118/739777 Aug 2026, 12:35 UTC1.00under a minute
@FinanceNewsDaily/492260 · this entry7 Aug 2026, 12:50 UTC@Showmoney118/739817 Aug 2026, 12:50 UTC1.00under a minute
@FinanceNewsDaily/492262 · this entry7 Aug 2026, 13:00 UTC@Showmoney118/739827 Aug 2026, 13:00 UTC1.00under a minute
@FinanceNewsDaily/492263 · this entry7 Aug 2026, 13:25 UTC@Showmoney118/739847 Aug 2026, 13:25 UTC1.00under a minute
@FinanceNewsDaily/492264 · this entry7 Aug 2026, 13:25 UTC@Showmoney118/739857 Aug 2026, 13:25 UTC1.00under a minute
@FinanceNewsDaily/492265 · this entry7 Aug 2026, 13:30 UTC@Showmoney118/739867 Aug 2026, 13:30 UTC1.00under a minute
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
ChannelMatching postsText overlapTypical gapPublished first
@Showmoney1187 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (7–0)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 1,486 comparable posts for this entry, running 6 August 2026 to 12 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 @FinanceNewsDaily — 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 13 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.

Growth

53,82259,43856,6306 August 202613 November 2026
66 measurements spanning 99 days, net +5,616. 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 52,980–60,280 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)SubscribersChange
13 Nov 2026, 14:1159,438+70
11 Nov 2026, 02:1959,368+58
9 Nov 2026, 07:4459,310+74
8 Nov 2026, 01:0559,236+67
6 Nov 2026, 22:2959,169+45
5 Nov 2026, 19:5759,124+66
4 Nov 2026, 19:1759,058+64
3 Nov 2026, 19:5958,994+31
2 Nov 2026, 16:4658,963+57
1 Nov 2026, 14:2958,906+53
31 Oct 2026, 13:5858,853+22
30 Oct 2026, 13:0458,831+7
29 Oct 2026, 11:0858,824+15
28 Oct 2026, 11:0558,809+8
27 Oct 2026, 11:0958,801+23
26 Oct 2026, 11:3058,778+20
25 Oct 2026, 08:2758,758+54
24 Oct 2026, 09:5058,704+23
23 Oct 2026, 10:4958,681+26
22 Oct 2026, 12:5058,655first reading

Engagement

2,902 posts held, back to 6 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 199 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.88%
avg views ÷ 59,438 subscribers
Avg views / post
1,120
906 posts measured
Reaction rate
0.284%
reactions ÷ views · ER floor
Posts in window
906
of 2,902 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 274 of 906 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 13 November 2026
Posts held2,902 (6 August 2026 – 13 November 2026)
Views total1,014,305
Reactions total1,028
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 11:10 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

1,127 reactions across 289 posts, in 8 distinct kinds. The most used accounts for 44.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤡49644.0%
👍38834.4%
👎14512.9%
👏494.35%
🤯201.77%
💯171.51%
🤔60.532%
🤷‍♂60.532%

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 297 of the 1,000 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 1,127 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 12 October 2026 to 13 November 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

Telegram’s own ‘edited’ marker: 0 of 906 posts held from the last 30 days (0%) 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).

13 Nov 2026, 10:25 UTC530 views12 reactionsread 13 November 2026

【段永平:目前不会卖出 #英伟达 ,未来黄仁勋或以“影子CEO”回归】11月13日,段永平在回复网友提问时称,“目前我不会卖出英伟达,实际上我今天卖了不少Puts。”他还补充了对黄仁勋回归可能性的判断,认为如果当初促使黄仁勋辞职的核心原因没有消除,他大概率不会重新回到岗位,但是存在一种可能性,就是公司邀请他担任顾问,成为类似“影子CEO”的角色,保留影响力,只是不再拥有签字决策权,而这个方向,要等到听证会结束之后才有可能出现明确结论。

🤡8👍3💯1

13 Nov 2026, 10:15 UTC519 viewsread 13 November 2026

源杰科技:收到B客户大功率激光器 #芯片 产品采购订单,金额17.44亿元(不含税)。

13 Nov 2026, 09:25 UTC812 viewsread 13 November 2026

IEA月报:OPEC第二大产油国伊拉克将产量提高54万桶/日,至460万桶/日,为2019年9月以来最高水平。

13 Nov 2026, 09:20 UTC828 viewsread 13 November 2026

IEA月报:因 #伊朗 相关制约下调2027年供应预测。 将2026年石油供应预测上调92万桶/日。 预计石油供应2026年将下降480万桶/日,2027年 #反弹 660万桶/日。 10月海湾地区成品油流量仍比2月水平低44%。 预计2026年炼油厂加工量下降220万桶/日,2027年增加250万桶/日。 10月全球炼油厂加工量 #环比 下降130万桶/日。

13 Nov 2026, 09:15 UTC796 viewsread 13 November 2026

【IEA月报:受海湾石油出口推动,全球石油市场转向过剩】 IEA月报:预计2026年第四季度全球油市将出现170万桶/日的供应过剩(此前预测为第四季出现供应短缺)。 IEA 11月供需平衡预测显示,全球油市将在2026年第四季重新转为供应过剩,并将在2027年出现更为显著的库存累积。 成员国计划在2027年2月底前进一步释放 7,100万桶紧急 #原油 和成品油储备。 成品油释储将以柴油为重点,计划在明年2月底前释放约1,500万桶柴油。 全球油市正显示出重新趋于平衡的迹象,自 #伊朗 冲突爆发以来,供应首次超过需求。 10月可观测石油库存增加了5,200万桶,为自6月以来首次上升。

13 Nov 2026, 09:05 UTC739 viewsread 13 November 2026

📊 经济数据汇总 • #中国 10月M1货币供应 #同比 4.4%,前值 3.2%。

13 Nov 2026, 08:10 UTC970 viewsread 13 November 2026

【 #恒生 指数收盘跌1.55%, #恒生科技 指数跌3.02%,智谱跌约10%】 MINIMAX跌约8%,中际旭创跌约9%,万国数据跌约8%,联想集团跌约6%,华虹宏力跌约6%, #小鹏 集团跌约5%,快手跌4.5%。

13 Nov 2026, 07:20 UTC≈1,090 viewsread 13 November 2026

【两部门:指导 #储能 电池企业合理有序推进项目建设 防范盲目扩张 #风险 】 国家发展改革委、国家能源局印发《“十五五”新型储能实施方案》。其中提出,鼓励新型储能制造企业提高关键原材料资源保障水平和产品质量等。夯实全产业链自主研发制造能力。优化新型储能性能检测能力建设。研究新型储能回收体系。鼓励各地因地制宜培育新型储能产业生态集群,加强市场研判与评估,发挥新型储能发展需求对产业的引导作用,促进产能合理布局和结构优化。落实 #锂 电池产业调控要求,指导储能电池企业合理有序推进项目建设,防范盲目扩张风险。

13 Nov 2026, 07:10 UTC≈1,170 viewsread 13 November 2026

【 #A股 收盘: #创业板 指高开低走跌3.32% 全市场超4700只个股下跌】创业板指、 #深成指 高开低走,科 #创50 指数冲高回落,此前一度涨超2%。全市场 #成交额 超1.66万亿,超4700只个股下跌。银行板块表现活跃,江苏银行、南京银行、青岛银行、成都银行、杭州银行均创历史新高;算力硬件概念集体下挫,CPO、PCB方向领跌,景旺电子 #跌停 ,天孚通信、源杰科技、新易盛等纷纷走弱。截至收盘, #沪指 跌0.59%,深成指跌2.05%,创业板指跌3.32%。

13 Nov 2026, 07:05 UTC≈1,090 viewsread 13 November 2026

【两部门:到2030年,全国新型 #储能 装机规模达到3亿千瓦,平均储能时长3小时左右】国家 #发改委 、国家能源局印发《“十五五”新型储能实施方案》。方案提出,锚定2030年前碳达峰目标,建设能源强国,坚持高质量发展主线,统筹发展和安全,综合平衡各类电源、电网及调节能力的关系,巩固提升新型储能产业核心竞争力,全面支撑新型能源体系和新型电力系统建设。到2030年,新型储能由规模化发展阶段步入市场化发展阶段,全国新型储能装机规模达到3亿千瓦,平均储能时长3小时左右。

13 Nov 2026, 06:30 UTC≈1,220 views4 reactionsread 13 November 2026

【央视网评:离岸 #信托 个税申报超1600亿,不是“劫富”,是收旧账】 1600多亿申报入库,10月单月入库超1200亿、带动当月全国个税收入增长近90%。数字出来的时候,有些自媒体炒作:“对富人加税了”?恰恰相反。这1600多亿的离岸信托个税谈不上开征新税,更谈不上对哪一群人定向加税,它是把本该缴的税,收回来。

👎3👍1

Showing the 12 most recent of 2,902 posts we hold for @FinanceNewsDaily. 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

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 6 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.

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.

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@usd1 · 253,955 (as read 24 August 2026)
#49
币圈财经新闻
@Btc_789 · 3,892
#50
ahhhhfs|A姐分享
@abskoop · 303,754
#51
少数派sspai
@sspai · 39,123
#52
吴哥时报
@wgsb · 197,148 (as read 24 August 2026)
#53
「DJ十七音乐私人订制」金富德州 @JFDZ 冠名
@dj17 · 70,782
#54
汉城DJ歌单(78.com 冠名 )
@gedan · 10,424
#55
纽约时报双语新闻
@nyt_bilingual · 10,134
#56
0
@lookworld88888 · 3,733
#57
BlockBeats
@theblockbeats · 38,161
#58
中国数字时代
@cdtchinesefeed · 51,932
#59
 Apple Nuts
@AppleNuts · 37,701
#60

Read from Telegram’s recommendation API, most recently 24 August 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.

华尔街日报
@HuaErJie1 · 59,971
Telegram ranks this channel #5 of 80 here — alongside 79 others — read 20 August 2026
美国之音
@voachinese · 42,209
Telegram ranks this channel #6 of 63 here — alongside 62 others — read 3 September 2026
外滩读书会-最新报纸、杂志、财经报告及流行电子书分享
@readingclubus · 28,761
Telegram ranks this channel #8 of 41 here — alongside 40 others — read 8 September 2026
股市宏观策略行业研报 A股票
@hgclhyyb · 19,872
Telegram ranks this channel #9 of 54 here — alongside 53 others — read 1 October 2026
敏感经济信息分享
@pelosi3 · 72,526
Telegram ranks this channel #10 of 51 here — alongside 50 others — read 20 August 2026
Telo News 简体中文 - 加密货币|DeFi |Web3
@telonews_cn · 79,720
Telegram ranks this channel #10 of 65 here — alongside 64 others — read 18 August 2026
即刻精选
@jike_collection · 35,913
Telegram ranks this channel #12 of 48 here — alongside 47 others — read 2 September 2026
竹新社
@tnews365 · 167,192
Telegram ranks this channel #14 of 59 here — alongside 58 others — read 12 August 2026
金十数据 闪电资讯
@jin10light · 22,259
Telegram ranks this channel #17 of 78 here — alongside 77 others — read 3 September 2026
FREE 中文
@freechinese · 27,773
Telegram ranks this channel #19 of 55 here — alongside 54 others — read 10 September 2026
看鉴中国 OutsightChina
@OutsightChina · 41,905
Telegram ranks this channel #21 of 58 here — alongside 57 others — read 29 August 2026
分叉财经(crypto news)
@fenchacaij · 229,177
Telegram ranks this channel #21 of 83 here — alongside 82 others — read 17 August 2026
zaobao.sg 早报
@zaobaosg · 46,565
Telegram ranks this channel #22 of 59 here — alongside 58 others — read 1 September 2026
金色财经新闻频道
@jinse2017 · 22,607
Telegram ranks this channel #24 of 60 here — alongside 59 others — read 20 September 2026
科技&趣闻&杂记
@kejiqu · 36,774
Telegram ranks this channel #24 of 48 here — alongside 47 others — read 1 September 2026
电报时报
@times001 · 84,547
Telegram ranks this channel #25 of 66 here — alongside 65 others — read 18 August 2026
观水谭 A股市日记 🅥
@Guanshuitan · 33,923
Telegram ranks this channel #32 of 58 here — alongside 57 others — read 1 October 2026
PANews Web3丨加密货币丨区块链新闻频道
@ChannelPANews · 23,591
Telegram ranks this channel #42 of 96 here — alongside 95 others — read 17 September 2026
Time经济观察
@TimeHorizonX · 21,056
Telegram ranks this channel #45 of 54 here — alongside 53 others — read 25 September 2026
金色财经/币圈快讯7*24小时
@jinseBTC · 23,945
Telegram ranks this channel #46 of 72 here — alongside 71 others — read 17 September 2026
定錨產業筆記
@investanchors · 19,796
Telegram ranks this channel #50 of 80 here — alongside 79 others — read 29 September 2026
金色财经
@jinsecaijinpingdao · 216,229
Telegram ranks this channel #51 of 90 here — alongside 89 others — read 17 August 2026
中国数字时代
@cdtchinesefeed · 51,932
Telegram ranks this channel #56 of 60 here — alongside 59 others — read 29 August 2026

This channel appears in 23 seed channels' Telegram-generated recommendation lists 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 13 November 2026 — this entry's latest reading, not the date you are reading this.

“【华尔街见闻】- 财经时讯 | AI 实时互动” (@FinanceNewsDaily), 59,438 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/FinanceNewsDaily.

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.