Oz Pirvandy is a Tel Aviv-based systematic fund manager and the founder of Elevate Algo Fund. With a background across economics, political science, mathematics, and data science, Oz brings a research-driven approach to portfolio construction, shaped by both academia and real-world experience in banks, where risk management is the primary priority.

In this episode, Oz explains why the S&P 500 works as an algorithmic benchmark and what most investors miss about its mechanics: concentration, index rules, and the tradeoff between rebalancing frequency and costs. We discuss his framework for building portfolios by ranking opportunities by risk-adjusted return, then adding positions based on low correlation; why he prefers partial rebalancing; and why keeping meaningful cash reserves is essential for both protection and flexibility. We finish with his view on 2026 and his plan to launch a second, more flexible multi-strategy fund around mid-2026.

*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.