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Jim Simmons achieved a 66% average annual return, far exceeding famous investors like Warren Buffett (20.1% average) and Peter Lynch (29.2% average).
He began his career using fundamental and technical trading approaches but eventually shifted to quantitative analysis.
Simmons focused on anomalies in market data, identifying patterns and trends to make trades based on statistical evidence rather than intuition.
He utilized machine learning and complex algorithms by assembling a team of highly educated individuals from diverse scientific backgrounds.
The Medallion Fund, Simmons's flagship investment vehicle, is known for leveraging borrowed funds to amplify returns.
Simmons and his team continuously refined their trading models based on extensive data analysis, seeking patterns to exploit for profit.
His approach separates emotions from trading decisions, allowing for a more systematic and data-driven method.
The rise of machine learning in finance has been a key factor in maintaining his competitive advantage in the market.
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