Mark Rzepczynski joins us this week to discuss ‘algorithm aversion’ and the science of how ‘model anxiety’ shows investors to be naturally wary of rules-based systems. We also discuss how to evaluate momentum data, how a busy week for market news can still be a quiet week for Trend Followers, the benefits of moving away from ‘peak complexity’ as soon as possible, why having too many filters can expose a trader to large opportunity costs, the optimal percentage amount of risk per trade, as well as portfolio construction versus signal generation and which is more important.
In this episode, we discuss:
How behavioural finance leaves investors under-allocated to Trend Following strategies
How to perceive momentum data
Why the steady flow of market news often has little value for Trend Followers