Ep. 312: Deepak Gurnani on Five Steps for Using AI in Investing
Macro Hive Conversations With Bilal Hafeez
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Navigating Data in Investment Strategies
This chapter explores the dynamic relationship between unstructured and conventional data in investment management, highlighting methods for model selection and the importance of diverse approaches. It discusses the challenges of machine learning model transparency and the necessity of establishing causal relationships in feature engineering. Additionally, it presents innovative AI-driven trading strategies that integrate macroeconomic insights with alternative data, emphasizing the need for a diversified portfolio construction to optimize asset allocation.
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