美股送分題
用分析師的視角，寫市場真正如何被判斷，而不是如何被解讀，把sellside與buyside的決策流程，翻譯成投資人看的懂的語言
| Platform |  | Pricing | Freemium | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 77 | Founded | 8 months ago | Last Issue | 6 days ago |
| Active | Language |  Korean | |||
Read this Newsletter
openbookandeasypoint.substack.comLatest Issues
《宋分｜分析師底層系統 #7》PE和PB怎麼比較誰便宜？美光、海力士、三大雲端，怎麼選？從五家公司估值出發，走一遍機構投資決策會議：比較預期報酬與下行風險，決定買誰、買多少，以及何時換股？
目標價只是起點。同樣一筆錢，我承擔多少風險，換到多少可能的報酬，又有多大把握能持有到判斷兌現？更高的報酬率，要交換的是更深的悲觀情境損失。你願不願意交換呢？
很多投資人在操作上都會遇到一樣的問題：一家公司用 PE，另一家公司用 PB，要怎麼知道誰比較便宜？這個問題應該比「美光應該給幾倍 PE」更接近我們每天真正面對的選擇，因為你的錢只有一筆。
《投資紀律 #32｜股票翻倍，要不要先賣一半？困難的不是賣出，是你賣掉之後要怎麼辦》
前幾天，有讀者提問：很多理財專家建議，股票漲到100%、200%，甚至更高的時候，應該先賣掉一些，避免後面獲利回吐。可是按照宋分文章的邏輯，翻幾倍不是重點，重要的應該是公司有沒有違背原本的投資假設。如果投資假設沒有改變，為什麼要因為股價漲太多就賣掉？還是說，漲多之後，適度獲利了結本來就是比較好的策略？
我覺得這個問題很適合寫成一篇紀律，也是股市在上漲中大多數人的煩惱。一開始，大家最害怕的是自己沒有買到。真的買到以後，煩惱卻沒有消失，只是換了一個形式：
This Subst...
《Price-in #3｜$1,133 的 LITE price in了什麼？OCS、FCC 與 NPO，還有多少沒被市場看懂？》
LITE 在10/6又創新高了。
花旗把目標價提高到1,400，提出 OCS 到 2030 年約 $110 億的市場機會，MS出了報告說，FCC 潛在限制可能從 3.2T 光模組開始，讓美國雷射供應商取得更有利的競爭位置。
This Substack is reader-supported. To receive new posts and support my work, consider becoming a free or paid subscriber.
股價來...
《市場解碼深度 #14｜AI 可以複製技術，卻複製不了一張稀有球員卡：用科技股的方法，找下一個消費Re-rate》
當 AI Agent 消滅搜尋、比較與推薦，真正值錢的還剩什麼？從 Walmart、Target、Wayfair、Shopify 到 eBay，拆解稀缺供給、履約、信任與 Commerce Infrastructure 誰能留下 Value Capture？
這次我第一次認真研究消費股，也是我第一次用科技的方式研究消費股，我的的心得是這句話：消費股有些護城河，可能比科技更難被 AI 攻破。
《Founder Q&A#1 | 一個分析師怎麼被自己的模型、市場、時間與錯誤慢慢訓練出判斷力？》
模型可以教你怎麼算一家公司值多少錢，但花很多年才學會的，是什麼時候相信模型、什麼時候懷疑自己，以及當證據彼此矛盾時，到底該怎麼做決定?
這一季 Founder Q&A 收到這八個問題之後，我放了非常久。不是因為不知道怎麼回答。恰恰相反，這八題如果用分析師平常最熟悉的方式回答，每一題都可以很快變成一張表。
Audience Metrics
Subscribers, engagement, traffic and sponsorship for 美股送分題.
| Subscribers | Engagement | 86 | Monthly Web Visits | ||
|---|---|---|---|---|---|
| Accepts Sponsors | Estimated Cost per Ad | ||||
SEO Reach
Where 美股送分題 ranks on Google, and how much search traffic it brings in.
| Ranked Keywords | 4 | Monthly Search Traffic | Top Keywords |
|---|
Chart Rankings
How this newsletter ranks in the official Substack charts.
| #182 | |
| #155 |
Authors
The writers behind this newsletter.
現役美股分析師｜給你機構的釣竿，跟機構一起釣到大魚 \ud83c\udfa3用機構的方式，拆解市場如何定價 ———市場解碼深度、分析師底層系統、Coverage Universe、週末投資紀律
Frequently Asked Questions
How can I access the email archive for 美股送分題?
You can find recent issues that have been published by 美股送分題 on Reletter by scrolling up to where it says Latest Issues. Tap on the link for any of the most recent emails or hit More Issues to see older ones.
How many subscribers does 美股送分題 have?
To see how many people subscribe to 美股送分題, simply upgrade your Reletter account. We provide readership numbers and lots of other stats for this newsletter so you can decide if it's worth reaching out to.
How can I advertise in 美股送分題?
Newsletter advertising can be extremely effective when it's done right. Before you pitch 美股送分題 as a potential sponsor or partner, make sure that you've done your research and checked its newsletter stats with Reletter.
Then, personalize one of our winning pitching templates and send it to the right person using the contact info provided.
How much does it cost to sponsor a publication like 美股送分題?
Newsletter ad rates (or CPM) vary depending on many factors, including industry, number of subscribers, open rate, ad placement and more.
To find out how much an ad will cost, contact 美股送分題 using the contact information provided and ask for a copy of their media kit.
How can I find newsletters related to 美股送分題?
Scroll up to where it says Related Newsletters to see other publications like 美股送分題. You can also search our email newsletter directory to discover other newsletters that cover the topics you're interested in.
How do I contact 美股送分題?
Reletter provides this newsletter's website URL above, where you will often find their contact information. We also provide links to associated social media accounts and pitching templates so you can reach out fast.