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Quantitative Finance AI: Building Data-Driven Trading, Risk Models, and Investment Strategies With Machine Learning and Deep Learning-logo

Quantitative Finance AI: Building Data-Driven Trading, Risk Models, and Investment Strategies With Machine Learning and Deep Learning

Jonathan Carver

Master algorithmic trading and deep learning in quantitative finance to build models that actually generate alpha. Perfect for your morning commute or deep work sessions, this focused guide strips away the hype to reveal how institutional data science...

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Opening Credits

1/14/2026
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Chapter 1: From Quant Models to Quantitative Finance AI

1/14/2026
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Chapter 2: The Data Universe of Modern Quant Finance

1/14/2026
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Chapter 3: Turning Raw Markets into Signals Feature Engineering and Labeling

1/14/2026
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Chapter 4: Core Machine Learning Tools for Finance

1/14/2026
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Chapter 5: Deep Learning and Sequences in Financial Time

1/14/2026
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Chapter 6: Modeling Volatility and Risk Surfaces with AI

1/14/2026
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Chapter 7: From Signals to Portfolios Position Sizing and Construction

1/14/2026
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Chapter 8: Backtesting Without Fooling Yourself

1/14/2026
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Chapter 9: Deployment, Risk Management, and Organizational Reality

1/14/2026
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Chapter 10: The Limits of AI in Markets and Your Path Forward

1/14/2026
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Closing Credits

1/14/2026