在我的YouTube留言區裡 有很多網友習慣尊稱我為老師 同時還存在另外一種聲音說 既然你投資這麼厲害 為什麼還要辛苦的 做視頻寫文章呢 這兩種說法 其實指向了同一個問題 就是說 在我們中文投資圈 缺乏一種成熟的 平等的 基於商業邏輯的認知體系 所以今天我就想來聊聊這個話題 為什麼我不希望你叫我老師 為什麼真正的職業投資者 反而需要做內容輸出 首先我們就先來說 老師這個稱謂 老師這個稱謂 在中文的語境裡頭 它是一個非常尊貴的詞彙 在2000多年的 這種儒家文化的影響之下 我們華人是有尊師重道的 這種傳統 那麼老師也有傳道授業解惑 這樣的一個神聖的職責 所以說 人們對老師這個稱謂 有著一種天然的敬畏感 那麼潛意識裡面 我們認為老師 是代表著掌握真理的那一方 但是這種文化慣性 如果帶入到金融市場裡面來 它就變成了一種 致命的認知缺陷 為什麼呢 因為金融市場 它的本質是混沌的 是隨機的 在這個市場裡面 根本就不存在 所謂的真理 也不存在一個全知全能的 絕對的權威 那麼為什麼大家還是 熱衷於去尋找 並且稱呼別人為老師呢 那麼我分析下來 主要有三個層面的心理機制 首先就是對不確定性的恐懼 大多數的散戶進入投資市場 面對 ...

最近經濟學人發佈了一篇非常有意思的文章 文章的觀點認為 現在世界經濟的主要問題 不是貿易戰 也不是能源短缺 而是悲觀主義 有一份調查顯示 就在2026年的年初 在我們現在這個當下 美國、英國、加拿大、日本和歐盟 絕大多數受訪者都認為 下一代的生活會比現在更艱難 除了丹麥以外 幾乎所有國家的多數受訪者 都認為公共機構是無效且浪費的 並且堅信現有的體制是被操縱的 只對富人有利 這說明什麼 這說明這種情緒 它不是一個局部現象 而是一種全球性的信心坍塌 在德國 悲觀主義者與樂觀主義者的比例 甚至接近12比1 我認為這對於我們投資者來說 是一個非常重要的信號 經濟學裡面有一個非常經典的概念 叫做動物精神Animal spirits 這是由凱恩斯提出來的 簡單來說 就是說經濟活動 並不僅僅是由理性的數學計算來推動 它在很大程度上 取決於人們對未來的信心和預期 後來諾貝爾經濟學獎得主 羅伯特希勒 又進一步發展了這個理論 他認為敘事 大家口口相傳的這些故事 會像病毒一樣的傳播 從而改變人們的經濟行為 那麼當悲觀的故事 成為主流的時候 會發生什麼 第一個後果 就是我們可以把它稱之為 叫做不確定性的衝擊 大家可以試想一下 如果說 ...

Given the provided content "No content yet!", it's impossible to extract any meaningful insights or summarize main points related to a specific industry or company Therefore, the output will reflect the absence of content General Observation - No content available for analysis [1] Data Analysis - No data provided to calculate percentages or convert units [1] Industry Insights - Unable to determine industry-specific trends or dynamics due to lack of information [1]

Autonomous Driving Technology & Strategies - Tesla adopts a pure vision approach, relying solely on cameras, aiming to reduce hardware costs by thousands of dollars per vehicle [1] - Rivian employs a multi-modal sensing approach, integrating vision, radar, and LiDAR for enhanced safety and reliability, especially in adverse conditions [1] - The integration of camera images, radar electromagnetic waves, and LiDAR point clouds within milliseconds poses significant algorithmic and computational challenges for multi-modal systems [1] Business Models in Autonomous Driving - Robotaxi (Mobility as a Service - MaaS) aims to eliminate driver costs, which account for 70%-80% of Uber's operating expenses [1] - Software as a Service (SaaS), exemplified by Tesla FSD and Rivian's future systems, transforms car manufacturers' revenue structure into a subscription-based model with gross profit margins exceeding 80% [1] Competitive Advantages & Industry Dynamics - Self-developed chips (like Tesla's FSD chip and Rivian's 5nm chip) are crucial for achieving a closed-loop autonomous driving business model [2] - Data flywheel effect, driven by vast amounts of data collected from vehicles, enhances AI capabilities and driving experience, creating a positive feedback loop [2] - Traditional automakers risk becoming hardware assemblers if they rely on third-party solutions like Nvidia or Mobileye, losing control over core value and profits [2] Market Outlook - The next two years are expected to be a period of rapid technological and business model advancements in autonomous driving [2]

Investment Strategy & Portfolio Management - Full-time investing requires a viable business model with a profitable investment strategy, including market selection, asset allocation, and entry/exit strategies [1] - The Hi5 portfolio is presented as an example, investing in US market index ETFs, with 40% allocated to cash flow generation and 60% to asset appreciation [1] - The Hi5 portfolio employs a DCA (Dollar-Cost Averaging) plus BTD (Buy The Dip) investment approach [1] - Diversification across multiple systems (active, passive, stock-focused, etc) is crucial for risk mitigation and income generation [1] Financial Requirements & Risk Management - Aspiring full-time investors should possess 3-5 years of living expenses as a financial safety net [1] - A debt-free lifestyle (no mortgages, car loans, or credit card debt) is essential to maintain positive free cash flow [1] - A "income replacement system" is needed, with capital allocated to fixed-income assets (bonds, REITs, preferred stocks) to generate stable cash flow, rather than selling stocks [2] - An example: To generate $120,000 annually with a 4% yield, a $3 million capital base is required in fixed-income investments [2] Psychological & Disciplinary Aspects - Self-discipline, cultivated through consistent habits like daily trading journals, is crucial for full-time investors [2] - Patience and acceptance of market volatility are necessary, avoiding panic selling during downturns [2]

哈嘍 大家好 今天的影片想跟大家聊一個話題 就是怎樣建立一個股票研究和分析的框架 在這個框架當中 基本面分析和圖形分析各自承擔什麼樣的角色 以及如何將這兩個方面結合起來 讓我們的投資邏輯更加的完整 所謂基本面分析框架 簡單來說就是三個方面 商業模式 財務表現 市場定價 所謂商業模式就是說 這家公司做什麼生意 賺誰的錢 是2B（面向企業）的生意 還是2C（面向普通消費者）的生意 賺錢的方式是不是有壟斷性 是不是有護城河 能不能夠讓這個業務無限擴大 它的生意有沒有天花板 所以這些都是我們 做投資最基礎的一些底層邏輯 如果說在五分鐘之內 你無法回答這些問題的話 說明你可能對這家公司的生意無法理解 無法理解的生意 我的看法就是 最好不要碰 我認為一家偉大的公司 它的產品應該具備四個基本條件 第一個 無差別的產品 第二 最廣泛的用戶 第三 自由定價 第四 市場壟斷 最典型的例子就是Google 它的產品是無差別的 你使用的Google和我使用的Google 本質上說沒有任何差別 全球80億人和全球絕大多數的企業 都需要Google的服務 都是它的潛在客戶 Google的產品定價 沒有政府或者某個機構來限制它的價格 Go ...

Investment Strategy & Analysis - The series aims to educate investors on chart reading and data-driven trading, moving away from intuition [1] - The content emphasizes a chart analysis framework to aid investment decisions [1] - Key elements of trading include price, volume, time, and space [1] - Understanding moving averages is crucial [1] Trading Process & Risk Management - The material promotes planning trades and trading according to the plan [1] - A trading checklist is provided to simplify the trading process [1] - Investors are encouraged to conduct their own research and assess risks before making decisions [1] - The content is for educational purposes only and not financial advice; investment decisions are the sole responsibility of the individual [1]

Investment Strategy & Analysis - The series aims to educate investors on chart reading and data-driven trading, moving away from intuition [1] - The content emphasizes a chart analysis framework to aid investment decisions [1] - Key elements of trading include price, volume, time, and space [1] - Understanding moving averages is crucial [1] Trading Process & Risk Management - The material promotes planning trades and trading according to the plan [1] - A trading checklist is provided to simplify the trading process [1] - Investors are encouraged to conduct their own research and assess risks before making decisions [1] - The content is for educational purposes only and not financial advice; investment decisions are the sole responsibility of the individual [1]

Investment Philosophy & Trading Framework - The series aims to educate investors on chart analysis and data-driven decision-making, moving away from relying on intuition [1] - The content emphasizes a chart analysis framework to aid investment decisions [1] - Key elements of trading include price, volume, time, and space [1] - Trading should be planned and executed according to the plan [1] Trading Tools & Concepts - Understanding moving averages is crucial [1] - The "deduction price principle" (抵扣價原理) is an important concept [1] - Understanding the structure of tops and bottoms is essential [1] - Key fluctuations (關鍵性波動) play a significant role [1] - The principle of cycle diffusion (週期擴散原理) is relevant [1] - Understanding market sentiment (筹码) is important [1] Disclaimer - The content is for educational and entertainment purposes only and should not be considered financial advice [1] - Investment involves risk, and all decisions are the sole responsibility of the individual [1] - Users are encouraged to conduct their own research and consult with financial advisors [1]

Given the provided content "No content yet!", it's impossible to extract any meaningful insights or summarize main points related to a specific industry or company Therefore, the output will reflect the absence of content General Observation - No content available for analysis [1] Data Analysis - No data provided to calculate percentages or convert units [1] Industry Insights - Unable to determine industry-specific trends or dynamics due to lack of information [1]