
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
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大概是每個人都會經歷過的:看對飆股,只買3%,然後股價漲兩倍,總資產只增加6%,
研究都對呀,但沒有把研究成果轉化成部位
為什麼?因為你根本沒有建立信心與部位之間的連結
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如果你看了我很多文章,你會發現機構的套路就是那幾種,而最重要的就是部位配置,
很多散戶認為研究公司跟產業還有產品技術超級重要,你會瘋狂在網...
最近最常被問到的問題:市場是不是太貴了?
很多人開始擔心牛市是不是快結束了?
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但我最近跟不少機構客戶聊,以及上週Microsoft Build Day之後,我反而產生了一個不同的想法:市場最大的風險可能不是AI失敗,而是AI成功得不夠快。
過去兩年市場交易的是AI是不是假的?但現在已經沒有人在質疑AI,
現...
這一波對於左側價值投資人只有更痛,沒有最痛,
漲的還是那些標的,每天動輒8%10%在漲,
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而你手上的價值股呢?可能便宜、可能獲利穩定,但就是不漲,甚至越買部位越大,績效原地踏步,
很多人開始懷疑自己,是不是市場變了?是不是價值投資失效了?是不是以後都只能追高?
最近就有讀者問我:為什麼這一輪真正賺最多的人,...
很多人對資產負債表很陌生,其實研究公司,就跟你要打量一個新的對象沒有兩樣,
只要想像你是在相親,用你打量對象的方式在看他的資產(他有房、有車、有多少黃金、保單?),你就會知道這個人值不值得你交往
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也很多人覺得資產負債表跟無聊,資產有多少哪重要,EPS大噴就夠了,
但接下來你會發現,很多真正的大地雷、大行情、大...
越來越多人覺得AI 普及之後,股票市場應該越來越有效率,因為所有人都能更快拿到資訊。但是當資訊本身開始快速商品化,未來真正稀缺的就不再是“資訊”了,經驗反而能讓人反向找到alpha
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同時另一件更大的事情也正在發生。
AI 已經不只是:聊天工具、搜尋工具、生成工具。
它開始慢慢變成新的 Internet 入口。...
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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 ——— Threads/FB/IG|市場解碼、評價溫度計 Substack|投資紀律、分析師備忘錄、市場解碼深度
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