覆海

[覆海 @Fu1Hal]

@jessyshen 不懂装懂，你可以说润泽的老板崇拜老毛，但钱和毛没一点关系

[覆海 @Fu1Hal]

@xkdx515 牢兰被弄进去不是没原因的

[覆海 @Fu1Hal]

@surfcapitalfour @Jodiecomer66 这不就是问题吗？拿的时间长=认可价值，等待价值兑现。但他却并没有吃到完整的价值发现到价值兑现这段涨幅，这还不能说明问题？

[覆海 @Fu1Hal]

@JohnsonZ91127 感觉crwv已经不具备任何持有的意义了

[覆海 @Fu1Hal]

@wei_xiao65473 路飞虽然也是sb，但能洗���人选天选论，而艾伦只能当串子

[覆海 @Fu1Hal]

@AlanShao111 说白了就是纯菜，认知低的可怜，靠着发表伪人言论博眼球的🤡

[覆海 @Fu1Hal]

@JohnsonZ91127 老大 现阶段把dram换成海力士或mu划算吗？

[覆海 @Fu1Hal]

@zzwinwinwin 众安是出了名的垃圾 你赚了钱又不能转走 转去其他银行包风控的 用众安等于流动性被锁死了

[爱吃折耳根的Ace @_zheergen]

离谱！港大实验室把一支迷你量化对冲基金，直接开源 了

Vibe-Trading，34K+ Stars，MIT 开源，一套能自己找数据、挖因子、跑回测、组 Agent 团队的金融研究平台。

以前做一个量化策略，要自己找数据、写因子、选回测引擎、调参数、看结果，整个流程全靠人一点点拼。

Vibe-Trading 不一样，你只需要用自然语言说想研究什么，剩下的数据、因子、回测、Agent 分工，它自己往下跑。

核心能力：

1️⃣ 90 个 Finance Skills：行情、期权、因子、回测、研究工具都能直接让 Agent 调用

2️⃣ 462 个现成 Alpha：Qlib158、Alpha101、GTJA191、学术因子、基本面因子都已经整理好

3️⃣ 10+ 回���引擎：A 股、全球股票、Crypto、期货、外汇、期权等多个市场都能直接测

4️⃣ 30 个 Swarm Teams：投资委员会、Quant Desk、Risk Review、Macro、Crypto 等团队可以直接拉起来协作

5️⃣ Persistent Memory：过去研究、Session、Skills 和上下文可以继续保留，不用每次从零开始

6️⃣ Shadow Account：上传自己的 Broker Journal，AI 可以反推你的交易模式，再做反事实回测和审计

我觉得它最有意思的地方，是 AI 终于不只是“回答金融问题”。

而是开始真正执行一条研究链：

你提问题，它自己找数据、做分析、跑回测、拉 Agent 开会，最后把研究结果交回来。

以前要一桌量化研究员干的活，现在开始变成一句话启动。

做 AI 量化、股票研究、Crypto、因子挖掘，或者想把 Agent 真正接进投研流程的，这个很值��收藏。

https://t.co/SG1plmW9TZ

[覆海 @Fu1Hal]

@freearkshaw 今天去看了，能看出来全员押注NPO，剑桥的3.2T、6.4T、7.2T的NPO���出来了，应该算是NPO最佳受益者

[覆海 @Fu1Hal]

@cnfinancewatch 高瓴接隆基那一波爆亏割肉是给领导接盘的 但这几年也确实做的一般 时间的朋友买了一裤裆杂毛 真不如多上x上冲冲浪

[覆海 @Fu1Hal]

@dogeofficialceo lmao

[覆海 @Fu1Hal]

@bboczeng 你tm从退网到自杀再到看多整个周期俩tm一个月都不到 满CD也没你这么快刷新啊

[覆海 @Fu1Hal]

@bboczeng 气死了吧傻逼

[覆海 @Fu1Hal]

@freearkshaw 凌玮是不是也能蹭上ptfe

[覆海 @Fu1Hal]

@oragnes 所以去年的事情为什么现在开始铺天盖地的传播？这b总不能跑得比孙割还快吧 孙割都跑不掉 我是不信这b比孙割还鸡贼 所以要拉盘开始热场子？

[Jimmy狐狸 @jimmyhuli]

过去半年里大家都已经是半导体专家了

GPU vs ASIC
HBM vs DRAM
NAND vs HDD vs HBF
CoWoS vs EMIB
NPO vs CPO
800G 1.6T 3.2T
InP Laser
MLCC
PCB

耳熟能详，出口成章，随便给一家公司都能讲出来他的供货商的供货商的供货商都是谁、未来三十年的技术演进路线

今天开始大家要突然变成 biotech ��家，请认真学习以下术语

GLP-1, GIP, Glucagon
mRNA + LNP
PD-1, VEGFA
TL1A, FcRn, TYK2
KRAS G12C, G12D
ORR, PFS, OS

加油

[覆海 @Fu1Hal]

@tuolaji2024 所以tfc是哪个

[Jukan @jukan05]

【Tianfeng Securities Overseas Tech】 After reviewing all the various AI related earnings, we believe the AI bull market is returning on the back of strong fundamentals

One very clear trend is emerging from the recent earnings of companies across the AI industry chain. Growth in cloud businesses is accelerating again, and compute demand continues to exceed supply. Customers are showing a willingness to accept price increases and even to prepay, and the unit economics of AI infrastructure are improving. Market attention is shifting away from concerns about excessive capital expenditure (CapEx) and back toward the belief that demand and profitability will actually materialize.

Large cloud: The slope of cloud business growth turned upward this quarter, and the scale of new bookings in the quarter was overwhelmingly larger than in any of the past 20 quarters.

Google has effectively no choice but to go all in. The mindset is that failure means the end. Even with negative free cash flow (FCF), every $1 of incremental cloud revenue converts into roughly $0.54 of new operating profit. On a simple calculation, the payback period is about 2 years.

AWS's margin of 39.4% is very strong. This provides an answer to the questions about return on investment (ROI). AWS will ultimately become a business with $1 trillion in annual revenue, with roughly 5x of growth headroom over the long term. The payback period for the cloud business is also under 3 years.

Microsoft: Azure's growth reaccelerated, providing an answer to concerns about the durability of that growth.

Neocloud: Earnings, demand, pricing power, and financing capability have all been validated across the board.

CoreWeave's (CRWV) recent compute resources are effectively all sold, with multiple customers competing to secure GPU volume. It added about 500MW of active power in a single quarter, and its year end target has been raised to more than 1.85GW. Its customer base is also broadening from large AI model companies and cloud giants to industrial, financial, life sciences, government, and traditional enterprises. AI is moving from a training centered frenzy toward a phase of adoption across every industry.

CoreWeave raised prices across all SKUs by about 25% in July. The profit contribution rate on new contracts rose by 5 to 10 percentage points. This shows that customers judge the returns they earn from AI to be sufficient to absorb higher compute prices. Even the A100, launched in 2020, is being signed into high priced contracts running through 2029. This also refutes the core bear case that GPUs are rapidly rendered obsolete within 3 to 4 years and that their residual value goes to zero.

Nebius (NBIS) saw total new contract value in the second quarter grow roughly 4x versus the prior quarter, with new customer contracts up more than 9x. Price tolerance on the demand side is so strong that, under current terms, it could sell all of its 2027 capacity today.

Annual revenue on new contracts reaches $20 million to $25 million per MW. Pricing on prior generation GPUs also rose more than 30% versus the prior quarter, and short term total bookings reach as much as $40 million to $50 million per MW. Customers have begun prepaying the cost of building AI infrastructure. About 70% of new contracts include prepayment provisions, which can cover 50% to 60% of the related CapEx. Expected project payback periods have shortened from 2 to 3 years previously to 1 year and 10 months. This means AI infrastructure is not simply a business that scales while burning cash, but one that has already secured strong unit economics.

Optical communications: The FCC related disruption is limited and the practical impact should be minimal. Lumentum (LITE) reported results above market expectations and raised guidance. EML demand exceeds supply by about 30%. The shortage of ultra high power lasers also continues to widen. Innolight's laser products are effectively sold out, and it plans to expand capacity roughly 4x over the coming quarters. The bottleneck remains delivery capability.

Quarterly OCS revenue clearly exceeded $100 million for the first time. NPO is not a technology that replaces CPO but a newly added intermediate architecture. Key customers' CPO plans are unchanged and demand signals are getting stronger. AI architecture is becoming increasingly optically integrated.

Memory and storage: It is now nearly certain that a bottom is forming. The core logic is to take time to secure room for recovery. The absence of price increases after the share price decline is already reflected in market expectations, and visibility on long term agreements (LTA) and shareholder returns is steadily improving.

Compute: The market narrative is shifting back toward AI training and open source. We are positive that Nvidia (NV) will challenge its prior high, and a narrative around RSI is also gradually forming.

[ImNotHarsh | 📈💸 @imnotharsh]

$INTC Intel CEO Lip-Bu Tan Purchased $12M of shares at the $95 public share offering price ($20B equity).

The prospectus supplement explicitly states: “Lip-Bu Tan, our Chief Executive Officer, and one of his family members have agreed to purchase $12 million of the shares being offered in this offering at the public offering price.”

They are buying at the same $95 public offering price as everyone else, and the underwriters receive the same discount on those shares.

This is a direct participation by the CEO and a family member in the primary offering.

The CEO continues buying here and you're bearish?

Long. Live. Intel.