海参哥

加密货币难民$imx$eth$dao

[nini @nini_incrypto_]

https://t.co/fPyZpmtH08

[海参哥 @wangdi13]

还记得你何时加入 X 吗？我知道！#我的X周年纪念日2021年那个币圈最美好的年代

[海参哥 @wangdi13]

@t0ilet0_ @Trumperizar 亚洲人要团结起来

[海参哥 @wangdi13]

@ElonMuskAOC 我觉得你应该捐款给中国红十字会

[Dr. Moyu｜摸鱼局长 @Jason23818126]

这 8 个美股 GitHub 项目，很适合和 Codex 一起用

从行情数据、SEC 财报、策略回测到 AI 量化研究，基本覆盖了一套美股投研工作流

把它们封装成 Skills 后，Codex 就不只是帮你写分析，而是能参与完整研究流程

1. OpenBB
金融数据平台，覆盖股票、ETF、宏观、基本面、期权等场景
适合让 Codex 输入 ticker 后，自动拉数据、整理指标、生成公司研究摘要
https://t.co/vIsenpmyRH

2. yfinance
美股数据分析入门工具，可以获取行情、历史价格、分红、拆股和部分财务数据
适合让 Codex 自动写脚本、画走势图、算最大回撤、对比多只股票表现
https://t.co/SUmGGuft92

3. edgartools
用于读取和分析 SEC EDGAR 文件，包括 10-K、10-Q、8-K、Form 4、13F 等
适合让 Codex 直接读公司披露原文，而不是只看二手新闻
https://t.co/25nNEpbtzv

4. sec-edgar-downloader
适合批量下载 SEC 文件
比如下载公司过去几年的 10-K、10-Q、8-K，再让 Codex 提取风险因素、管理层讨论和收入结构变化
https://t.co/BOnTovK27h

5. vectorbt
策略回测工具，适合测试不同参数、不同股票、不同周期
比如均线突破、RSI 反转、突破新高后持有 N 天，都可以让 Codex 写成回测脚本
https://t.co/87OblDS0gH

6. QuantStats
回测绩效分析工具，可以生成夏普、最大回撤、波动率、胜率、月度收益等指标
适合接在 vectorbt 后面，让 Codex 输出完整策略体检报告
https://t.co/FawmjjzHj8

7. Microsoft Qlib
微软开源的 AI 量化研究平台，覆盖数据、模型、训练、回测等流程
适合让 Codex 帮你拆框架、改模型、跑实验、复现量化论文思路
https://t.co/Liw7sJMA0z

8. FinRL
金融强化学习开源项目，适合研究自动交易、组合配置和强化学习策略
适合让 Codex 帮你理解交易环境、修改 reward function、调整策略逻辑
https://t.co/n2qmkRXrq9

Codex 做美股最有价值的地方，不是临时问它“这只股票怎么看”
而是把数据源、财报源、回测框架和 AI 量化项目，封装成自己的研究 workflow

普通人用 Codex 写 prompt

高手用 Codex 搭 workflow

非投资建议，只是 AI 投研工具流分享

[海参哥 @wangdi13]

@BTCBruce1 200

[海参哥 @wangdi13]

@ViewsOfChris @heyibinance 骗子 有什么力

[Serenity @aleabitoreddit]

Here's a bunch of random 30 US-available random stocks I like today and why:

1. $INTC - America's hope for foundry, national security
2. $MRVL - scales rev from future maia asics and add ons like cpo, they do everything lost count
3. $TSM - backbone of semis/ai
4. $COHR - They do everything vertically integrated + captures optical cycle
5. $RKLB - the final frontier of space will be around 5 years from now and 20 years from now.
6. $DRAM - memory exposure for samsung/sk hynix
7. $AVGO - hyperscalers dont like nvidia gpu tax
8. $AMZN - nobody can compete against the overnight shipping of toilet paper. robotics will lower opex over time
9. $ARM - AGI CPUs scale revenue quite a bit over the next decade
10. $TSEM - you're going to need a foundry for light based stuff
11. $IBIT - bitcoin, we all know by now
12. $NBIS - i think it's the next AWS. Also they do self-driving cars with uber, own scaling DB companies, data labeling. It's almost like a mini Google.
13. $GOOGL - youtube is not going away, gemini is great. they're vertically integrated with TPUs and fund buildout with operating income so i like it.
14. $AMKR - super facilities coming online in late 2027-2028. benefits from made in america
15. $HOOD - i dont like short term, but long term i'm a fan of Robinhood since they captured retail + have more products like banking, etc that they're scaling up. product innovation is wild.
16. $CRCL - I happen to really like stablecoins and see them as the future for both payments/holding (depends on clarity act)
17. $META - people aren't going to stop using instagram or whatsapp, or others anytime soon.
18. $LITE - $GOOGL TPU exposure decently high part of BOM. As long as Google's AI program keeps running I think $LITE will do well.
19. $LPTH - Germanium and China export controls will always be an issue so US made engineered alternatives will always be important
20. $FN - Someone needs to assemble optical stuff
21. $JBL - same as above, but added with ip from Intel's SiPh acqusition so might end up like innolight?
22. $MP - American rare earths program is extremely important, similar to $INTC national security risks
23. $HIMS - Okay here me out they just acquired a ton of companies, and at $19 they have global DTC channel. short sellers really hate this company, but I think it's actually promising as a contrarian long
24. $SMTC - LRO/LPO transition
25. $POWL - US alternative to hammond for switchgear DC type bottleneck
26. $VPG - Humanoids will be a thing down the road maybe 2027-2028, this makes the sensors.
27. $MOG.A - Feels like i see them everywhere in robotics, to spacex supply chains
28. $MSFT - At $375, one day we'll look back and see this as a buying opportunity.
29. $CVX - oil might crash after war but these oil companies are going to be extremely important, especially when Venezulea is a goldmine.
30. $XLU - i think rate cuts might be back online, we need power/grid for AI so these names will always be improtant from $CEG to $NEE

Just throwing out other thoughts aside from $AAOI and $AEHR.

[海参哥 @wangdi13]

@elonmusk 人类的未来在哪里？

[海参哥 @wangdi13]

美股反弹后，大概率10号cpi是利好的

[海参哥 @wangdi13]

周一大概率先涨后跌，震荡开始

[海参哥 @wangdi13]

ai 应该是要到应用层了，谷歌 特斯拉 博通，落地才是大考

[assume @CheemsChina]

*美股 AI 存储全产业链板块 ETF 上市了，代号 $HBMX

HBMX 的全称是 Concentrated Memory Stack ETF

Concentrated Memory Stack ETF，这个是一支由 Tuttle Capital 全新推出的主动管理型 ETF。

随着AI驱动的存储芯片需求爆发，Roundhill Memory ETF（代码： $DRAM ）在短短两个月内吸引了超过140亿美元的资金。

为了分一杯羹，Tuttle Capital Management 推出了一只新的主动管理型ETF——Tuttle Capital Concentrated Memory Stack ETF（代码：HBMX），直接与DRAM展开竞争。
全面押注 AI 算力基础设施的核心底座——海量数据存储与高带宽吞吐。

前十大持仓是这样的：

* $MU 9.53%，存储芯片巨头，美国本土 HBM 核心标的

* $ONTO 7.88%，半导体量测和检测设备龙头，先进封装的“卖水人”

* $AMAT 7.51%，全球最大的半导体制造设备供应商

* $ATEYY 7.37%，全球半导体测试设备双雄之一，HBM 测试核心受益者

* $PENG 6.26%，AI 基础设施和高性能计算内存解决方案提供商

* $RMBS 6.02%，内存接口芯片和 IP 巨头，解决内存带宽瓶颈的关键

* $ASML 5.86%，光刻机绝对垄断者，先进制程的基石

* $AMKR 5.7%，全球第二大半导体封测代工大厂 (OSAT)，先进封装主力

* $CAMT 5.67%，半导体光学检测设备厂，深度受益于先进封装产能扩张

* $LRCX 5.45%，半导体刻蚀设备龙头，3D 存储制造绕不开的设备商

前十大持仓总占比为 67.25%

除此之外，还包含小仓位的西部数据 ( $WDC)、硅马科技 ( $SIMO)、东京电子 ( $TOELY) 以及铠侠 ( $KXIAY) 等纯粹的存储厂及上下游设备/材料标的。

相比 $DRAM 把筹码全押在少数几家存储颗粒巨头身上，$HBMX却买下整条 AI 存储制造与封装的产业链。

PS：资产规模只有27万左右

#美股 #财报季 #贸易关税 #非农数据 #AI投资 #投资策略 #MSX

[套利豪仔🗽 @pritipatelfgoo]

普通人玩美股不知道要买什么？

其实思路很简单：
第一选择：直接定投标普500、纳指100，长期基本都赚钱
第二选择：跟着川普买（附追踪网站）
$INTC $DELL $MU 等暴涨个股，他都提前买了
1. Open Cabinet：https://t.co/LHVhqbG8j4
追踪特川普官员OGE交易记录，数据接近官方
2. TrumpTrades：https://t.co/aJrXnoilg7
川普Q1交易可视化数据库（3642+笔），能排序看行业和Top标的，很清楚
3. Trump Tracker：https://t.co/79lZLeRWX3
覆盖政府人物的交易和资产，浏览方便
4. OGE官网：https://t.co/a3x3je7qYv……
最权威的原始披露，但查起来麻烦、PDF多、有滞后
5. ProPublica： https://t.co/ZTbjGLpUWV……
聚合了很多官员披露，辅助搜索好用
以上都是事后数据，有延迟，适合长期参考…

[펭귄 @babybluecream]

트럼프는 몇 달 동안 무엇을 사야 할지 알려주고 있습니다:

• AI: $DELL $MU $SNDK $WDC
• 칩: $INTC $AMD $NVDA $TSMC $ARM
• 우주: $RKLB $PL $ASTS
• 암호화폐: $HOOD $CRCL $PURR
• 에너지: $BE $GEV $FCEL $TE
• 드론: $UMAC $ONDS $AVEX
• 원자력: $XE $CCJ $OKLO $UUUU
• 로보틱스: $OUST $AEVA
• 양자: $IONQ $QBTS $RGTI $INFQ
• 배터리: $FLNC $AMPX $KULR
• 의료: $OSCR $CLOV
• 광학: $AXTI $AAOI $LITE $CRDO
• 희토류: $USAR $CRML $TMC
• 제조: $STRL $CDNL
• 핵심 광물: $TMQ $MP $LAC

너무 복잡하게 생각하지 마세요.

다시는 선도 주식을 놓치지 마세요:

[Gary Du @GaryDu18]

川普几个月来，

一直在告诉我们，

该买哪些股票：

芯片：$DELL $MU $SNDK $WDC
$INTC $AMD $NVDA $TSMC $ARM

太空：$RKLB $PL $ASTS

加密货币：$HOOD $CRCL $PURR

能源：$BE $GEV $FCEL $TE

无人机：$UMAC $ONDS $AVEX

核能：$XE $CCJ $OKLO $UUUU

机器人：$OUST $AEVA

量子：$IONQ $QBTS $RGTI $INFQ

电池：$FLNC $AMPX $KULR

光学：$AXTI $AAOI $LITE $CRDO

稀土：$USAR $CRML $TMC

制造：$STRL $CDNL

关键矿物：$TMQ $MP $LAC

不要想得太复杂，

看到第一时间就买入，

大概率比自己选股赚的多。

[Bean哥 @BroBean88]

美股标的清单：
跟单新股神你必须知道的，附核心方法论

光互连方向：她买 SIVE 和 AAOI，你可以看 Coherent（科锐安特，英伟达花 20 亿入股的光模块龙头）和 Marvell（迈威尔，DSP 芯片 70%+ 全球市占率）。

电力基建方向：她买 HPS.A，你可以看 Eaton（伊顿，全球电力管理巨头，HPS 的客户）和 Vertiv（维谛，数据中心电力和散热龙头）。

核能方向：Constellation Energy（星座能源）和 NuScale（纽斯凯尔）。

半年前算力层应该占 60%+，现在应该往物理基建层倾斜。

如果你认同"AI 瓶颈正在下沉到物理层"这个判断，一个参考配置是：

算力层 40%（英伟达/美光/Coherent），
物理基建层 35%（Eaton/Vertiv/Marvell），
高弹性层 25%（NuScale/OKLO/NVTS）。

最后说一句可能得罪人的话。 每一轮牛市都会封神一个人。Serenity 的研究深度确实值得尊敬，45 倍不是靠运气能做到的。

但她的收益里有多少是基本面驱动的、有多少是 49 万粉丝跟单推高的，这个比例没有人知道。

X-Fab 一天涨 77% 然后 Bloomberg 发头条，这已经不是投资了，这是市场影响力本身在创造回报。

学她的思维方式"AI 缺什么投什么，往下挖一层找紫苏叶"这是真正有价值的框架。

但不要把她的收益率当成你的预期收益率，因为你们手里的牌完全不同。

在美股，永远没有神。只有恰好站在风口上、手里还握着话筒的聪明人。

[Manchurius Hao — Greeks.live首席赌狗 @AntonLaVay]

追踪 $nok 的高管动向非常简单，根据芬兰和欧洲法律，这会在官网同步。

https://t.co/jEWzBq0p6l

[Serenity @aleabitoreddit]

Photonics is nuanced and using ChatGPT/Gemini makes you miss all of it:

1. $SIVE is actually a chokepoint and partially a bottleneck.

The reason it's a chokepoint is leading CPO/optical hyperscaler players go through Sivers, likely:

Ayar. Celestial. Lightmatter. Lightelligence. Poet.

If you take out Sivers, you literally can't make some of their products + delay their roadmap by years.

As many are sole/primary source but are heading the direction on multi-source.

As for the bottleneck argument: Win Semi is the bottleneck for scaling laser production.

But... the nuance is when you have capacity allocated for the next few years.

You become part of the bottleneck itself if players fight you for allocation of finished lasers.

That's the nuance people miss with capacity allocation dynamics.

It's like saying $SNDK is not part of the NAND bottleneck when Kioxia makes all of it.

But when Sandisk has the ultimate control of output supply, they become the bottleneck + have all the pricing power.

Sivers controls output supply of CW lasers given allocations, and as seen with $LITE earnings, CW laser is currently bottlenecked as everyone seems to be stuck producing EMLs.

2. Like how LLMs always uses em-dashes.

You can tell when people use AI when they always use the same "CW is a dumb interchangeable laser" argument or compare "power" specs after conflating different architectures.

That's why your "analysts" using AI will get this wrong over and over.

There's CW lasers... and then there's a specific architectural design that Sivers achieves with DFB lasers.

If you compare power specs with $LITE vs. Sivers, Lumentum wins in isolation. But they're completely different laser architectures.

All the leading CPO players like Ayar, chose $SIVE for an architectural reason for high power, low thermal, laser arrays. $JBL 1.6T LRO also made one of the most dramatic moats cited by their fireside chat, using Sivers lasers.

If you think CW lasers are interchangeable with Sumitomo/Furukawa, and others. And can be plug-and-play... i don't know what to tell you?

Again: $SIVE makes architecturally unique CW lasers for leading CPO players.

3. I'm not sure how many times I need to say this:

$SIVE for 2024-2025 has been going through development contracts. People using TTM revenue or former P/S metrics are using completely the wrong metrics, when there's volume ramp in 2027.

It's the same with $AAOI which volume ramps in H1 2027.

$AEHR which volume ramps after qualification.

$LPK that volume ramps after qualification.

This is just missing qualification cycles in semiconductors and how to model financials currently.

As for the $LITE comparisons (which was also my long last year):

$LITE literally started off selling laser dies before acquisition of Cloud Lite and other downstream optical engine components.

This is where $SIVE is at today with starting off in the laser chokepoint for CPO:

People are modeling laser revenue off very isolated TAM projections. Meanwhile Sivers is targeting M&A to expand revenue for TAM projections.

This is not a simple component FAU + ramp valuation modeling over with a Taiwanese company.

Since Laser companies like $LITE, $COHR are known to downstream expand to make their lasers more valuable, then vertically integrate (fabs, assembly) afterward.

Again, Sivers worked with Ayar and these types of companies before they all became billion dollar companies. I have high conviction knowing they know what to acquire down the ELS/optical engine stack + pluggable transceiver for TAM expansion.

It's just annoying when I get people who don't understand the nuances backseat commenting wrong things about my longs.

I got the same thing about $AXTI is not a bottleneck! InP isn't needed! China! back at $14.

Now it's $140

I got the same thing about $AAOI "is going down 50%!" back at $65. or "AOI management is shady at $30".

Now it's $170

I got the "there's nothing new with $SOI" back at $45.

Now it's $170.

I think I'm one of the few who actually understands the nuances with photonics, since I did call out $LITE, $TSEM, Innolight, $AXTI, $AAOI, $SOI, that outperformed both photonics markets and overall markets over the past year.

And now I'm long on $SIVE.

[Summer 在交易 @Summer_trading]

https://t.co/yl4A6bleas