How Hedge Funds Use AI to Beat Rivals
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Can AI actually find hedge fund trades a human would miss? In this episode of Making Billions, I sit down with Jan Szilagyi, CEO and co-founder of Reflexivity, the AI investment analysis platform used by firms including Soros Fund Management and MUFG. How do hedge funds use AI to find trade ideas? What is a knowledge graph in finance? How do you stop AI from hallucinating numbers when real capital is on the line? Can a small fund use AI to compete with a multi-manager giant? Jan answers all of it from a two-decade macro career that included trading alongside Stan Druckenmiller at Duquesne and running a 15 billion dollar book. Together, we discuss why the expression of a trade idea matters more than the idea itself and how a knowledge graph maps market ripple effects a spreadsheet cannot show. Learn why AI is a leveler for fund managers and how to run scenario analysis before risking capital. Jan explains why the edge now comes from the quality of the question, not the tool, and shares the exact playbook a fund manager should run this quarter to put AI into their investment process. For fund managers, deal syndicators, family offices, and institutional investors building an investment mindset for the AI era, this is the framework for using AI to sharpen decisions instead of replacing judgment. Watch to learn how the tools the biggest funds use can work for yours. AND TO LEARN THE CAPITAL RAISING STRATEGIES AND FRAMEWORKS used by alternative asset professionals: https://go.fundraisecapital.co/apply Chapters: [00:00]: How hedge funds use AI to find trades (Jan Szilagyi intro) [02:00]: What is a knowledge graph in finance? [03:36]: The trade idea vs the expression: the Soros pound trade [05:25]: How Druckenmiller sized up a position [06:53]: Using AI to read price action and correlations in real time [08:42]: Monitoring the market's giant correlation matrix [09:05]: How to pitch a legendary investor and build trust [09:54]: The 3 Rs: reputation, relations
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