Advances in Financial Machine Learning
Marcos Lopez de Prado provides a rigorous blueprint for applying modern data science to the complex world of quantitative finance. Moving beyond basic linear models, this work introduces sophisticated techniques for structuring financial big data and developing robust algorithms. It addresses the unique challenges of the stock market, such as low signal-to-noise ratios and the dangers of backtest…
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