In this episode of The Blunt Dollar, I sit down with Patrick Armstrong, Chief Investment Officer at Plurimi Wealth, to discuss what evidence-based investing really looks like in practice, how machine learning is already transforming portfolio management, and why investor psychology often matters more than market forecasts.
Patrick shares the lessons he's learned from managing real client portfolios, explains how Plurimi AI was born from his own investing mistakes, and offers a refreshingly honest perspective on where human judgment still fits in an increasingly AI-driven world.
We explore how to build robust investment processes, why over-diversification can quietly destroy returns, and what separates successful investors from those constantly reacting to market noise.
🤖 How Patrick built an AI-powered investment process and why machine learning became part of his portfolio construction framework
📊 Why over-diversification can reduce returns and how to think differently about building investment portfolios
🧠 The role of behavioral finance and why investor psychology remains one of the biggest drivers of long-term outcomes
📈 How evidence-based investing helps remove emotion from decision-making while still leaving room for human judgment
🚀 Career advice for the next generation of finance professionals and why curiosity and technology will become the ultimate competitive advantages
If you like investing, artificial intelligence, and practical conversations about building better portfolios, this one's for you.
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Enjoy the episode!
Disclaimer: This podcast is for informational and educational purposes only. It does not constitute financial, investment, or legal advice. Listeners should consult a qualified financial professional before making any financial decisions.
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