Channel
@Marcoview666
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
5,333subscribers
+45 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001234611891 |
|---|---|
| Type | Channel |
| Username | @Marcoview666 |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/Marcoview666 |
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 13 September 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 |
|---|---|---|
| 18 Sept 2026, 05:57 | 5,333 | +6 |
| 13 Sept 2026, 21:39 | 5,327 | +1 |
| 10 Sept 2026, 14:59 | 5,326 | -5 |
| 5 Sept 2026, 15:38 | 5,331 | +2 |
| 1 Sept 2026, 22:59 | 5,329 | +2 |
| 29 Aug 2026, 23:36 | 5,327 | +7 |
| 27 Aug 2026, 07:58 | 5,320 | +8 |
| 20 Aug 2026, 04:33 | 5,312 | +8 |
| 16 Aug 2026, 17:49 | 5,304 | +1 |
| 13 Aug 2026, 01:25 | 5,303 | +6 |
| 10 Aug 2026, 10:24 | 5,297 | +8 |
| 7 Aug 2026, 14:32 | 5,289 | +1 |
| 7 Aug 2026, 12:33 | 5,288 | no change |
| 7 Aug 2026, 12:20 | 5,288 | first reading |
39 posts held, back to 4 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 7 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 39 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.
19 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 68.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 13 | 68.4% | |
| 👍 | 4 | 21.1% | |
| 🎉 | 2 | 10.5% |
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 10 of the 39 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 19 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 4 August 2026 to 11 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.
# 简评：英伟达 5000 亿 AI 融资凸显信用隐忧 💸 ## 核心 英伟达联手华尔街推出 5000 亿美元 AI 基建融资计划 🏗，信贷市场开始重估 AI 扩张风险：股价虽涨，信用溢价攀升恐成阻力 📉。 ### 关键点 1. **背景**：5000 亿融资规模巨大，信贷市场已定价其扩张风险 💰。 2. **信号**：英伟达 5 年期 CDS 扩至约 77.5 个基点（风险↑），但投资级债券利差尚稳 📊。 3. **逻辑**：类比甲骨文激进融资致信用走弱。英伟达生态债务堆积、资本承诺循环，推高信用利差。风险溢价抬升虽未必引爆危机，但将制约股价进一步冲高 📉。 4. **展望**：亚洲半导体市场面临抉择：视 AI 热潮为增长引擎，还是日益昂贵的待偿债务负担？🤔 ## 小结 AI 扩产不仅是股市故事，更是债务信用故事。英伟达巨额融资已触发信贷风险预警（CDS 走高）。未必爆雷，但融资成本上升将给 AI 股价带来压力，静待亚洲…
❤3
据称英特尔即将扩大股票出售规模，以筹集200亿美元。https://www.bloomberg.com/news/articles/2026-08-10/intel-is-said-to-near-share-sale-upsize-to-raise-20-billion?srnd=homepage-asia
英伟达官宣 5000 亿表外 SPV 交易，AI 循环融资惹争议 📈英伟达确认一笔创纪录的 5000 亿美元表外 SPV 特殊目的载体交易，用来给全球 AI 基建项目提供资金支持，消息一出资本市场直接炸开锅。 💡简单说就是联合华尔街大型金融机构搭建独立融资平台，这笔巨额资金专门用于 AI 基础设施建设、算力采购，用 SPV 表外结构，负债不会体现在英伟达自身财报上面。 ⚠️市场争议点也随之而来，这套模式被戏称是 AI 圈的循环融资。资金流转后助推自家芯片销量，放大营收，但杠杆与风险被转移到表外，不少投资者开始担忧 AI 赛道隐藏债务泡沫风险。 🤔一边是 AI 算力狂飙扩张，一边是表外杠杆暗流涌动，这波操作到底是 AI 发展加速器，还是埋下的定时炸弹，后续市场表现值得持续蹲守。https://www.zerohedge.com/markets/nvidia-set-reveal-record-500-billion-balance…
野村：中国2026年7月通胀数据 一、数据低于预期 CPI：同比涨0.5%，低于预期0.8%及前值1.0%。主因油价回落滞后，汽油环比跌10.7%。剔除油价后涨0.44%。猪肉同比跌13.3%拖累数据。核心CPI涨0.9%。医疗涨4.3%创纪录，旅游需求疲软。 PPI：同比涨3.5%，低于预期3.8%及前值4.1%。上游能源价格回落拖累，煤炭及电子设备支撑。下游消费端同比仍为-0.8%，需求疲弱。 二、政策展望 货币：野村预测央行今年不降息，全球加息压力限制空间。RRR下调非基准预测，影响有限。 财政：北京更依赖财政政策稳增长，出口强劲限制刺激规模。 三、8月预测 预计CPI和PPI小幅回升至0.6%和3.6%。关键变量：油价（7月冲高回落，8月初上调）、金价（涨7.7%）、猪肉及农产品价格。 四、核心观点 根源：房地产低迷致基础通胀顽固低位。 信号：7月政治局会议暗示2026年下半年加大财政力度，非货币。
❤2
台积电公布月销售额增长45%，表明尽管市场波动，但人工智能硬件的需求依然持续。 英伟达和苹果公司的主要芯片供应商7月份营收达到4675.8亿新台币（145亿美元）。分析师平均预计本季度销售额将增长46.8%。 上个月，台积电上调了全年支出和营收预期，反映出其对人工智能芯片强劲增长势头将持续到2027年及以后的信心。台积电目前预计，2026年其资本支出将达到创纪录的600亿至640亿美元，并预测全年销售额（以美元计）将增长略高于40%。https://www.bloomberg.com/news/articles/2026-08-10/tsmc-sales-rise-45-after-ai-spending-roars-on-despite-jitters?srnd=homepage-asia
据《华尔街日报》报道，苹果公司正在测试中国CXMT公司生产的用于iPhone和MacBook的内存芯片。https://www.reuters.com/business/retail-consumer/apple-tests-chinas-cxmt-memory-chips-iphones-macbooks-wsj-reports-2026-08-09/
中美PMI分化致债券利率背离，根源在于实体资本开支与融资意愿差异，PMI仅是表象，融资供需才是核心。 一、现象：美欧日PMI走强，经济扩张；中国PMI回落，内需放缓；新兴经济体平稳，全球割裂。 二、逻辑：资本开支决定融资需求，供需决定利率。 1. 美欧日：AI与基建驱动资本开支高涨，融资旺盛，通胀升温，利率上行。 2. 中国：资本开支收缩，降杠杆致融资疲软，CPI低迷，利率下行。 三、海外后市：短期高开支与通胀支撑利率易上难下；中期高利率反噬融资，需求转弱后美国利率率先见顶，传导至欧日。 四、国内后市：外需乏力，政策转向货币宽松，降息降准加速，利率中枢下行。 - 债市行情：长端利率债突破，30-10年期国债利差收缩。 - 配置建议：优先配置中国长端国债，重点看好30年期国债。 总结：海外AI支撑高利率，国内弱需求倒逼宽松，海内外利率持续分化，国内长债具配置价值。https://mp.weixin.qq.com/s/QR…
日本央行在7月份会议的意见摘要中指出，通胀升温的风险正在上升，其中一位理事指出，加息步伐可能会加快。 一位成员呼吁日本央行展现其防止通胀上升的决心，并可能通过更大幅度的加息来应对全球央行即将进入加息阶段的情况。 日本央行需要采取灵活的方式应对海外金融状况的变化等因素，并讨论加息幅度，而不是坚持一定的加息步伐。https://www.bloomberg.com/news/articles/2026-08-10/boj-summary-flags-upside-price-risks-possible-faster-hike-pace?srnd=phx-economics-v2
中国调动规模达 28 万亿美元的股市、债市资本市场，集中资源发力 AI 赛道，以此在人工智能领域和美国展开竞争；本次策略最大变革，是告别过往长期依赖财政补贴、国企直投扶持高新产业的传统模式，转而以市场化资本市场作为产业扶持核心工具。 二、新策略的落地手段 股权市场提速扩容 对存储芯片龙头长鑫存储等战略科技企业开通 IPO 绿色通道，大幅压缩上市周期；放开 AI 企业上市通道，多家头部国产 AI 企业陆续筹备 A 股、港股上市，依靠股民海量居民储蓄为科创输血。 债券市场定向倾斜 大力发行科技债、绿色债，引导金融资本流向芯片、AI 企业，拓宽科技企业低成本发债融资渠道。 多部门协同托底市场 央行、证监会、财政部等联动，市场出现恐慌下跌时快速出手维稳，稳定投资者信心，保障资金愿意持续流入高科技行业。 三、当下优劣势 优势 融资成本低廉：国内科技企业发债利率远低于美国同行，长期低成本资金充足，适合 AI 长线重研发投入； 民间储蓄体量庞…
👍1
随着监管机构采取措施遏制风险过高的交易，中国券商正在加强对新账户的审查，并加大对融资融券、证券借贷和期权交易的审核力度。 这些措施包括在批准获得保证金融资或期权账户之前，对财务状况、交易经验和风险承受能力进行更严格的审查。 当局正重点关注高杠杆交易，因为高杠杆交易可能引发强制清算并加速市场下跌，同时人们也担忧股票市场杠杆率过高以及潜在的社会不稳定。https://www.bloomberg.com/news/articles/2026-08-09/china-brokers-tighten-client-scrutiny-to-curb-excessive-risk?srnd=homepage-asia
美国财政部长斯科特·贝森特释放信号称，在长期利率飙升至 19 年高位后，他急于阻止债券收益率进一步飙升。 贝森特采取了一些措施，例如自 1998 年以来美国首次进行货币干预以支撑日元，并对其部门关于债券销售的指导方针进行了微妙的修改。 这些举措表明，贝森特正试图阻止长期债券利率的上涨，长期债券利率的上涨是由于持续的通货膨胀和近 2 万亿美元的年度预算赤字造成的。https://www.bloomberg.com/news/articles/2026-08-09/behind-bessent-moves-wall-street-sees-sign-of-bond-market-angst?srnd=homepage-asia
👍1
人工智能正在重塑韩国的职业、约会和文化 工厂工人凭借超过 40 万美元的奖金，正在取代医生和律师成为新的精英阶层，而投资者则在像赌场一样的股市中赌博。
👍2
Showing the 12 most recent of 39 posts we hold for @Marcoview666. 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.
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.
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 9 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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“Global Macro View” (@Marcoview666), 5,333 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Marcoview666.
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.