Channel
@jinsecaijinpingdao
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
239,544subscribers
-19,228 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001697024078 |
|---|---|
| Type | Channel |
| Username | @jinsecaijinpingdao |
| Description | 接快讯，商务合作联系 @Cindy88888 |
| 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 | 19 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/jinsecaijinpingdao |
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 8 August 2026 and assigned it the closest of 31 fixed categories, at 87% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 12:54 | 239,544 | -1,278 |
| 17 Sept 2026, 01:00 | 240,822 | -675 |
| 15 Sept 2026, 00:59 | 241,497 | -435 |
| 13 Sept 2026, 09:17 | 241,932 | -1,002 |
| 11 Sept 2026, 11:21 | 242,934 | -1,355 |
| 8 Sept 2026, 15:54 | 244,289 | -1,850 |
| 5 Sept 2026, 09:56 | 246,139 | -864 |
| 3 Sept 2026, 09:28 | 247,003 | -662 |
| 2 Sept 2026, 04:13 | 247,665 | -406 |
| 1 Sept 2026, 07:37 | 248,071 | -594 |
| 31 Aug 2026, 06:13 | 248,665 | -767 |
| 30 Aug 2026, 07:14 | 249,432 | -605 |
| 29 Aug 2026, 05:24 | 250,037 | -322 |
| 28 Aug 2026, 08:15 | 250,359 | -384 |
| 27 Aug 2026, 05:53 | 250,743 | -223 |
| 26 Aug 2026, 06:46 | 250,966 | -369 |
| 25 Aug 2026, 07:25 | 251,335 | -644 |
| 24 Aug 2026, 09:03 | 251,979 | -839 |
| 22 Aug 2026, 14:12 | 252,818 | -658 |
| 21 Aug 2026, 03:53 | 253,476 | first reading |
340 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 101 pages of 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. It is computed over the 136 of 211 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 September 2026 |
|---|---|
| Posts held | 340 (5 August 2026 – 24 September 2026) |
| Views total | 174,299 |
| Reactions total | 263 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 19:35 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.
Lifetime counters from Telegram’s own channel header, read 24 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
423 reactions across 211 posts, in 12 distinct kinds. The most used accounts for 73.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 309 | 73.0% | |
| ❤ | 98 | 23.2% | |
| 🤔 | 6 | 1.42% | |
| 🫡 | 2 | 0.473% | |
| ✍ | 1 | 0.236% | |
| 👏 | 1 | 0.236% | |
| 🤓 | 1 | 0.236% | |
| 🤗 | 1 | 0.236% | |
| 🤝 | 1 | 0.236% | |
| 🤩 | 1 | 0.236% | |
| 🤯 | 1 | 0.236% | |
| 🥰 | 1 | 0.236% |
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 219 of the 340 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 423 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 340 most recent posts we hold, published 5 August 2026 to 24 September 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.
【美国国际贸易委员会调查美光及多家服务器厂商存储产品】 美国国际贸易委员会（USITC）投票决定，对美光科技（MU.O）生产的一类主要存储产品——动态随机存取存储器（DRAM），以及在产品中使用这些芯片的多家服务器制造商展开调查。该联邦机构表示，此次调查基于代表位于美国加利福尼亚州尔湾的存储器供应商 Netlist 提交的申诉。申诉称，相关企业违反美国联邦关税法，指控某些 DRAM 设备及包含这些设备的产品被进口并在美国销售，侵犯了该公司的专利权。除美光外，USITC 表示还将调查服务器制造商慧与科技、超微电脑和联想集团。
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【美 SEC 委员：区块链透明账本结合零知识证明可重塑金融监管】 美国证券交易委员会（SEC）委员 Hester Peirce 在 SIFMA 数字资产会议上表示，监管机构应重新审视传统金融监控方式，从“收集更多数据”转向利用新技术进行更精准的验证。Peirce 称，零知识证明等技术可以在不披露姓名、收入或地址等底层个人信息的情况下，验证用户是否满足年龄、公民身份、合格投资者身份或制裁名单等要求。Hester Peirce 建议联邦政府及受监管机构在技术可行的情况下采用基于属性的验证，并允许注册实体更多依赖第三方身份验证，以减少重复收集和存储敏感信息。Peirce 同时表示，公有区块链具备永久、公开且可审计的交易记录，结合区块链取证工具，有望在减少不必要数据收集的同时提升对非法活动的追踪能力。
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【CFTC 主席：将推进加密市场结构规则，重点涉及永续合约】 美国商品期货交易委员会（CFTC）主席 Mike Selig 表示，参议院否决《清晰法案》后，CFTC 仍将推进加密市场结构规则制定，并称“现在是行动时刻”。Selig 指出，CFTC 现有法定权限为规则推进提供空间，无需等待国会通过新法案。 该机构还将重新评估适用于算法和智能代理驱动的全天候链上市场的现行规则。相关安排可能包括建立指定合约市场类别，允许交易所在 CFTC 监管下提供加密货币杠杆交易；但 CFTC 无权据此监管现货市场，现货市场监管仍需立法。
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【特朗普盟友备忘录点名 Anthropic CEO，视其为 AI 末日论代表】 特朗普盟友正把人工智能公司 Anthropic 首席执行官 Dario Amodei 作为人工智能“末日论”代表人物及有效利他主义运动创始人之一加以攻击。消息人士称，中期选举期间，盟友反击其人工智能安全警告时，Anthropic 仍可能成为特朗普阵营的目标；因其政治立场和对人工智能安全的关注，他被视为容易攻击的对象。这令投资者担忧，因为该公司正准备一场预期创纪录的首次公开募股。报道称，本周白宫内部开始流传一份备忘录，试图把有效利他主义描绘成脱离美国主流的边缘、邪教式群体，Axios 称已取得该文件。备忘录由一名不在白宫任职的特朗普政治顾问撰写，称有效利他主义“建立了人工智能末日管道”，并把 Amodei 放在该运动的基础位置，同时提到其妹、Anthropic 总裁 Daniela Amodei，将这些关系称为“Anthropic 结点”。一名接近政…
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【商务部：在中美经贸磋商机制下 双方就人工智能进行了首次对话】 9月24日，商务部新闻发言人何亚东在例行新闻发布会上介绍了中美经贸磋商最新进展，他指出，中美双方就人工智能进行了首次对话。何亚东指出，近日中美两国经贸团队在美国举行了第八轮经贸磋商，双方以两国元首重要共识为引领，秉持相互尊重、和平共处、合作共赢原则，围绕双方共同关注的经贸问题进行了坦诚深入富有建设性的交流，达成了多项共识。在中美经贸磋商机制下，双方就人工智能进行了首次对话。下一步中方将与美方在中美经贸磋商机制下后续的工作保持密切的沟通。
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【香港政府计划发行至多200亿港元等值的多币种数字债券】 据知情人士透露，香港政府计划通过发行多币种数字绿色债券筹集150亿至200亿港元（19亿至26亿美元），这将是全球同类债券中规模最大的一次交易。知情人士称，这些债券以美元、港元、欧元和离岸人民币计价，最早可能于下周一定价。因涉及未公开信息，知情人士要求匿名。香港政府已委托多家银行本周安排一系列固定收益投资者会议。 🌏🌍🌎🌏🌍🌎 快讯/广告 联系 @Cindy88888
【OpenAI 向乌克兰政府开放 Daybreak 网络安全工具】 OpenAI 宣布向乌克兰数字转型部开放其 AI 漏洞挖掘工具 Daybreak，用于在俄罗斯黑客发现之前定位并修复软件漏洞。该消息于周三在联合国大会期间公布，由乌克兰驻旧金山总领事 Dmytro Kushneruk 与 OpenAI 国家安全政策负责人 Sasha Baker 共同宣布。Daybreak 基于 OpenAI 旗舰大模型 GPT-5.6 Sol 运行，可扫描老旧系统寻找薄弱点、验证疑似漏洞是否可被利用，并在补丁发布前确认其是否真正封堵漏洞。OpenAI 此前已向法国、德国和波兰的网络机构开放模型，波兰 CERT Polska 曾借此发现商用路由器软件中的 6 个漏洞，均已由厂商修复。乌克兰 CERT-UA 在 2025 年处理了近 6000 起网络攻击，较 2024 年增长 37%，地方政府与政府机构受冲击最严重。此次开放紧随 OpenAI 9…
【白宫加密顾问否认特朗普加密利益致 Clarity Act 受阻】 白宫数字资产顾问委员会执行主任 Patrick Witt 周三在乔治城大学举办的 Financial Markets Quality 会议上为总统特朗普的加密关联辩护，否认其个人加密利益导致上周《数字资产市场清晰法案》（Clarity Act）在参议院未能推进。他表示，民主党将该议题政治化，并质疑为何近期通过的住房法案无需设置严格的政府伦理审查条款。Clarity Act 谈判始终未能绕开伦理争议，该争议针对政府高级官员的加密利益冲突，特朗普是主要目标。Witt 称，特朗普同意了两项史无前例的伦理条款：除最终愿意接受强制其剥离加密资产或将其置于盲信托的规则外，白宫还准备让步，允许各州总检察长在联邦政府未能查处伦理违规时对其提起诉讼。他还称，指控特朗普在掌控加密资产的同时主导数字资产政策存在利益冲突“颇具讽刺意味”，因为参与相关审议的银行委员会多名参议员持有并积…
【欧盟三大金融监管机构：量子计算或威胁区块链密码学安全】 欧洲银行业管理局（EBA）、欧洲保险和职业养老金管理局（EIOPA）及欧洲证券和市场管理局（ESMA）在联合风险更新中表示，量子计算进展可能削弱保障区块链交易、通信和数据库安全的密码学系统。谷歌量子 AI 研究人员 3 月估计，破解许多加密货币所用密码学技术所需的物理量子比特数量，或较此前预估少约 20 倍。目前尚不存在能够实施此类攻击的计算机。比特币开发者 Jameson Lopp 等人在 2 月提出逐步淘汰当前签名方案，并在提案激活五年后限制未迁移资金的使用方式，该提案尚未获采纳。以太坊基金会计划在 2029 年 12 月前，使以太坊执行、共识和数据层具备抗量子攻击能力。 🌏🌍🌎🌏🌍🌎 快讯/广告 联系 @Cindy88888
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【香港证监会将推新数字资产发牌制度，拟制定代币化黄金及 RWA 监管框架】 香港证券及期货事务监察委员会公布落实首个五年规划的策略行动纲领，短期将推出新的数字资产发牌制度，并推行数字资产托管监察、CrypTech 市场监察及反洗钱能力建设。中长期将视情况为代币化投资产品制定监管框架，涵盖代币化黄金及其他现实世界资产。该机构还将支持香港特区政府建立黄金中央清算及结算系统，开发以人民币计价的黄金及商品产品。 🌏🌍🌎🌏🌍🌎 快讯/广告 联系 @Cindy88888
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【俄罗斯财政部：俄罗斯约有 2000 万名加密货币用户，年交易规模约 1190 亿美元】 9月23日，俄罗斯财政部副部长伊万·切别斯科夫表示，俄罗斯约有 2000 万名加密货币用户，公民持有的加密货币及相关金融产品总规模约为 3.7 万亿卢布（约合 440 亿美元）；该国加密货币日交易额约为 500 亿卢布（约合 5.95 亿美元），年交易规模约为 10 万亿卢布（约合 1190 亿美元）。俄罗斯推进全面监管的目标，是建立透明、合法的加密货币市场，并明确服务提供商、中介机构及投资者的权责。 切别斯科夫表示，俄罗斯拟自 2027 年 7 月 1 日起追究非法组织加密货币交易活动的刑事责任，但普通个人交易不在此列。俄罗斯财政部与央行也在研究本土稳定币的运行模式和应用场景。此外，若 USDT、USDC 等资产因外国发行方采取行动而被冻结，且俄罗斯托管机构不存在过错，相关损失原则上由投资者承担。 🌏🌍🌎🌏🌍🌎 快讯/广告 联系 @…
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【微信安全中心打击借区块链名义实施传销诈骗的账号】 微信安全中心发布关于打击传销、诈骗等违法活动组织者及推广者的治理公告。近期，部分黑灰产账号假借“国家项目”“民族资产解冻”以及“区块链虚拟币、稳定币”等名义，以高额回报为诱饵，诱导用户入群并实施传销式“拉人头”裂变，随后通过伪造链接诱导用户输入账号密码、下载涉诈仿冒 App，最终实施财产诈骗或盗号后二次欺诈。微信官方表示，一经核实，将依据相关法规与平台规范，视情节严重程度对违规账号采取阶梯式处罚，包括封禁社群功能、限制功能使用及永久封号等，并提醒用户警惕打着区块链旗号但无实质技术与应用的庞氏骗局，切勿参与缴纳入门费、发展下线及下载非官方渠道应用。
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Showing the 12 most recent of 340 posts we hold for @jinsecaijinpingdao. 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.
Named by 1 registered channel — 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.
@jinsecaijinpingdao named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was 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 17 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.
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.
This channel appears in 13 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“金色财经” (@jinsecaijinpingdao), 239,544 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/jinsecaijinpingdao.
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.