Marco Santanché, founder of Unbiased Alpha, joins the show to unpack what truly matters in quantitative research. We explore the key differences between institutional and retail trading, the real risks behind CFDs and leverage, and how quants turn vague client objectives into clear, actionable KPIs. The conversation also dives into realistic backtesting, why overfitting is so common, and when machine learning genuinely adds value in trading.

*DISCLAIMER*

The information shared on this podcast is for educational and informational purposes only and reflects the personal opinions of the hosts and guests at the time of recording. Nothing in this podcast constitutes financial, investment, legal, tax, or trading advice, and nothing should be interpreted as a recommendation to buy, sell, or hold any security, cryptocurrency, derivative, or financial product.

Trading and investing involve substantial risk, including the possible loss of all or part of your capital. You are solely responsible for your own decisions, and you should consult a qualified professional before making financial decisions. By listening to this podcast, you agree that the hosts, guests, and producers are not liable for any losses or damages arising from the use of any information discussed.