面基

The E145 source adds an A-share bull-market psychology layer through 张一贞, A-Share Valuation Indicators, Multi-Strategy Allocation, and Drawdown Psychology. Its distinctive contribution is to move from “is 4000 points high” toward a more practical question: how should an investor preserve realized gains, action capacity, and emotional stability when valuation repair has already happened and late-cycle sentiment can still push prices higher.

The E144 source adds a trend-trading and market-statistics layer through No-Prediction Trading, Diversification Alpha, Random Market Narratives, Polymarket, and an expanded Trend Following frame. Its distinctive contribution is to treat signals as market-state observations rather than predictions, then connect repeated positive-expectation trades, small probes, diversification, and post-hoc narrative risk.

面基 is the podcast/show context for E153.股神的牌局：复利公式 + 凯利公式, E155.似乎没什么人再提「AI 泡沫论」了, E158.资产配置与有效前沿：去找更好的，更不一样的，更贴近时代的, E159.港股的特殊之处与生存之道, E160.一个价值投资者的 20 年回顾：求积分，求胜率，求时间, E161.脱离理性暴政，去尽情游戏吧！, and E162.康波周期中的AI：新技术总在萧条期爆发，bad times make good people. E153 uses an investing conversation to connect Compounding Growth Formula, Kelly Criterion, Investment Edge, Position Sizing, Quantitative Investing, Passive Investing, and trading exits into one practical framework. E155 adds an AI investment layer through AI Investment Metrics, Jevons Paradox In AI, Human Resource Deflation Compute Infrastructure Inflation, CAPEX OPEX Substitution, Language User Interface, and Holo Assets. E158 adds a multi-asset layer through Asset Allocation, Efficient Frontier, Asset Correlation, 60/40 Portfolio, Free Cash Flow Indexing, and FOF Product Design. E159 adds a Hong Kong equity market-structure layer through Hong Kong Market Structure, Hang Seng Tech Index, Hong Kong Stock Connect, Hong Kong Exchanges and Clearing, dividend assets, liquidity, IPO absorption, and active risk management. E160 adds a public-fund value-investing layer through Value Investing, Margin Of Safety, Dividend Discount Model, Fund Liability Matching, Circle Of Competence, Business Moat, and Value Trap. E161 adds an embodied-judgment layer through 关雅迪, Trained Intuition, Embodied Judgment, Flow Environment Design, Extreme Environment Risk Management, and Action Defines Identity. E162 adds a long-cycle macro layer through Kondratiev Cycle, Technology Installation Cycle, Depression Driven Innovation, Risk Parity, Macro Asset Expression, Gold Monetary Anchor, and Geopolitical Cycle Macro.

E163 adds an AI workflow and life-design layer through 品哥, AI Skills, Context Engineering, Persistent Agent Memory, Human Agency Under AI, AI Use Pacing, and Output Quality Gates. It treats AI not only as an investment or productivity topic, but as a practical question of how ordinary users define intention, preserve subjectivity, and prevent agents from turning finite life into endless task queues.

The 读书，就是在读一个人的 F source adds a reading, friendship, and personal-knowledge layer through X/F/FX Framework, AI-Assisted Reading, Reading As Frame Training, Personal Knowledge Ecology, AI Authorship Presence, and 43talks. It connects the show’s existing AI-agency thread to a broader cognition claim: when AI makes outputs cheap, people still need to train the frame that decides what to read, trust, share, and test in the world.

The 《大厂小民》 conversation adds a nonfiction career layer through 小满, Career Shore Myth, System Humanity, Layoff Buffer, Tool Rationality Spillover, Family Labor Boundaries, and Nonfiction Publicness. It moves the show from AI, investing, and embodied judgment into ordinary workers’ relationship with large-company systems, asking how people can keep agency while restraining expectations that a system or “shore” will guarantee a stable life.

Connections

• 张一贞, A-Share Valuation Indicators, Multi-Strategy Allocation, and Drawdown Psychology — E145’s A-share valuation, strategy-mix, and investor-psychology layer.
• No-Prediction Trading, Diversification Alpha, and Random Market Narratives — E144’s trading-statistics and narrative-risk layer.
• Kelly Criterion — central mathematical sizing idea in the episode.
• Edward Thorp and Claude Shannon — historical examples used by the episode.
• Investment Risk Management — broader wiki theme reinforced by the source.
• AI Investment Metrics and Holo Assets — E155’s AI business-metric and hard-asset investment frame.
• Efficient Frontier and Asset Allocation — E158’s multi-asset portfolio-construction framework.
• Hong Kong Market Structure — E159’s market-structure and survival frame for Hong Kong equities.
• Value Investing, Margin Of Safety, and Dividend Discount Model — E160’s long-duration cash-flow and safety-margin framework.
• 关雅迪, Trained Intuition, and Embodied Judgment — E161’s embodied decision-making and endurance-practice framework.
• Kondratiev Cycle, Risk Parity, and Macro Asset Expression — E162’s long-cycle macro, multi-asset, and portfolio-expression framework.
• 品哥, Human Agency Under AI, AI Use Pacing, and Output Quality Gates — E163’s AI mindset, pacing, and workflow-quality layer.
• X/F/FX Framework, AI-Assisted Reading, Reading As Frame Training, and Personal Knowledge Ecology — reading and personal-context layer added by the “读书，就是在读一个人的 F” episode.
• 小满, 《大厂小民》, Career Shore Myth, and System Humanity — big-company, layoff, nonfiction, and system-agency layer.
• 一劳永逸 — adjacent Chinese investing podcast already represented in the wiki through episodes on Jim Simons, Jesse Livermore, finance careers, and market risk.