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Trading Strategies of Jim Simons' Medallion Fund
The chapter explores the diverse trading strategies employed by Jim Simons' Medallion Fund, including stat arbitrage, pairs trading, pattern recognition, machine learning, mean reversion, and more. It discusses their focus on short-term predictive capabilities, minimizing trading costs, and utilizing technology like hidden Markov models and machine learning to improve efficiency. The chapter also touches on Jim Simons' philanthropic efforts, emphasizing the importance of persistence, collaboration, data validation, and focusing on weak edges in trading.