What if the trading signals millions of investors rely on every day have no statistically meaningful predictive power whatsoever?
In this episode, Luigi Pascal Rondanini goes behind his forthcoming book, Market Myths and Mathematical Realities: A Quantitative Analysis of Unscientific Trading Indicators — available for pre-order now and publishing September 8th, 2025 via Rondanini Publishing Ltd, Architect Method Editions.
The book began with a single encounter: an article on financial astrology. What started as a quick exercise in debunking became a year-long investigation into the boundary between pattern and randomness, science and storytelling, genuine market anomalies and statistical illusions.
Luigi examines the indicators that traders treat as gospel — moving average crossovers, RSI thresholds, candlestick patterns, the Super Bowl Indicator, the Halloween Effect, the January Effect — and asks the question the industry prefers you not to ask: when you test these properly, with real data and rigorous methodology, what do you actually find?
The answer is uncomfortable. And important.
This episode covers the three methodological traps that contaminate almost all existing indicator research — survivorship bias, data mining, and look-ahead bias — and why stripping them out changes everything. It covers the difference between statistical significance and economic significance, and why a result can be mathematically real and financially useless at the same time. And it covers the deeper question underneath all of it: why do intelligent people keep believing in systems that do not work?
After 38 years in institutional FX and treasury markets — at RBC, Wells Fargo, SocGen, and beyond — Luigi's conclusion is not that markets are perfectly efficient or that nothing works. It is more precise, and more useful, than that.
📖 Market Myths and Mathematical Realities — Pre-order now. Publishing September 8th, 2025.
Available in paperback, hardcover, and Kindle via all major booksellers.
PB: 978-1-918177-19-0 / HC: 978-1-918177-31-2