Core Viewpoint - The article discusses the contrasting investment philosophies of Warren Buffett and Charlie Munger, emphasizing Munger's more aggressive and rationalist approach compared to Buffett's experience-based skepticism [2][19]. Group 1: Investment Philosophies - Munger's investment style often challenges traditional experience-based methods, as seen in his investments in companies like BYD and Alibaba, which Buffett does not endorse [2][19]. - The article outlines two main philosophical approaches in investing: rationalism, which seeks to create a perfect explanatory system for market behavior, and empiricism, which relies on real-world experience and observation [12][13]. Group 2: Rationalism - Rationalism is characterized by a belief in knowledge derived from logical reasoning and innate ideas, as exemplified by philosophers like Descartes and Spinoza [8][9]. - The article highlights that many investment theories, particularly technical analysis, are rooted in rationalist principles, aiming to explain market movements through established frameworks [10][11]. Group 3: Empiricism - Empiricism, led by thinkers like Bacon, emphasizes knowledge gained from experience and observation, often using inductive reasoning to form theories [13][14]. - The limitations of empiricism are noted, particularly in investment contexts where past experiences may not apply to future scenarios, leading to potential risks [14][15]. Group 4: Skepticism - Skepticism, particularly as articulated by David Hume, questions the reliability of causal relationships, suggesting that what is perceived as causation may simply be correlation [15][16]. - Buffett embodies this skeptical approach, focusing on businesses he understands and avoiding complex financial models that rely on unproven assumptions [18][19]. Group 5: Practical Implications - The article concludes that while rationalism may attract financial elites seeking comprehensive systems, empiricism aligns more closely with the practical realities of high-risk investment activities [21][22]. - A successful investment strategy may not require exhaustive knowledge of all market dynamics but rather a focus on actionable insights derived from experience [22].

在连续二十几期的情绪观察之后，不知道读者是什么体会，我自己总结了一下主要是以下几点： 因此，比较稳妥的策略是： 关于情绪指标的延伸阅读： 关于动量指标的延伸阅读： 《 RSR（RSV、RPS）和趋势模板的背景含义 》 市场的日常是非理性的，因此会有波动起伏；市场又是很理性的，因为非理性终究要回归。 所谓循环和规律，只是对历史数据的统计归纳，如果生搬硬套必然犯刻舟求剑的毛病。总结用归纳法，实战用演绎法。交易演绎法，不是用归纳得到的经 验去求必然因果，而是不断评估大局和局部的胜率和赔率，更新自己的对策，西洋学说称之为贝叶斯主义。 择时的本质是情绪管理。 市场起伏在统计学上有迹可循，始终循环，但不简单重复； 方向可以预期，但无法准确预测，尤其无法预测涨跌幅度； 大多数周期，回撤比上涨要快，也即浮盈很容易变成浮亏； 胜率在情绪爬升期，赔率在情绪冰点，情绪高温区二率皆输； 动量背离是情绪反转前兆，动量的本源就是情绪; 情绪的最小张力单元就是TR，向上或者向下突破TR预示情绪反转； 1. 冰点抓胜率和赔率双赢，极端超卖区域的快速反弹； 2. 40周期情绪爬升过程中，抓更短周期的情绪回落点的胜率（埃尔德的三重滤网）； 3. ...