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Dr. Tom Starke - From Physics PhD to Quant Trading Virtuoso - Ep.8

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Transition from Discretionary to Data-Driven Trading

The chapter explores the speaker's shift from discretionary trading to a more data-driven, analytical approach influenced by their background in engineering and physics. It discusses the journey of transitioning to analyzing time series data using Python for predictive modeling, emphasizing the move towards automated execution and the inadvertent acquisition of computer science knowledge. The evolution of trading strategies, emphasis on risk management, portfolio positioning, and the importance of diversification in trading are also highlighted.

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