文章
關於 AI 代理、回測與市場預測稽核，以及平台架構的研究。
體育
AI keeps promising to beat sports betting markets. What a betting exchange really is, the one man who genuinely beat the odds, why the math is brutal — and what AI actually changes.
閱讀時間 6 分鐘8 個章節
機率思維
A prior is your starting belief before new evidence arrives. What priors are, why they make or break forecasts, and how to build one — explained in plain English with football examples.
閱讀時間 4 分鐘6 個章節
模型陷阱
Learn how AI models identify unusual patterns in market data — from statistical baselines to deep learning. Education, not trading advice.
閱讀時間 7 分鐘7 個章節
機率思維
Learn what a prior is in Bayesian forecasting, how it shapes predictions, and why it matters for AI-driven market analysis. Jargon-free explanation.
閱讀時間 7 分鐘8 個章節
體育
How do AI models predict the 2026 FIFA World Cup? A clear breakdown of methodology, probability distributions, and the transparency gap in AI forecasting systems.
閱讀時間 1 分鐘2 個章節
模型陷阱
Learn the key warning signs of overfitted financial models, the tests that expose them, and why transparency in any AI-driven market tool is non-negotiable.
閱讀時間 7 分鐘7 個章節
機率思維
Volatility and risk are not the same thing. Understanding the difference can change how you think about markets, decisions, and uncertainty itself.
閱讀時間 8 分鐘8 個章節
機率思維
Learn how professional forecasters use Bayesian thinking, signal filtering, and calibration to update beliefs with new data — and why it matters in markets.
閱讀時間 7 分鐘9 個章節
模型陷阱
Learn what explainable AI means in finance: how XAI works, why transparency in algorithms matters, and what it changes for market participants.
閱讀時間 7 分鐘7 個章節
加密貨幣與市場
Learn what crypto order flow really means, how to read it, and why it matters for understanding market structure — no hype, no signals, just clarity.
閱讀時間 9 分鐘10 個章節
可證明性
Learn how blockchain technology creates immutable, auditable financial data — and why transparency is becoming the default standard in modern finance.
閱讀時間 7 分鐘8 個章節
機率思維
Learn how to read probability distributions in markets — from bell curves to skew and fat tails — and use them to make more structured, informed decisions.
閱讀時間 8 分鐘8 個章節
