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These books, tools, and courses sharpen you into a competitive quant.

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Book recommendations:

Option Volatility and Pricing (Natenberg):

Options, Futures, and Other Derivatives (Hull): amzn.to/4pUO5Tw

Trading and Exchanges (Harris): amzn.to/4aCh2PD

Quantitative Trading (Chan): amzn.to/4a4vKPm

Heard on the Street: amzn.to/4iGJnpX

Thinking, Fast and Slow (Kahneman): amzn.to/48s1bli

The Elements of Statistical Learning: amzn.to/4rEnImB

Analysis of Financial Time Series (Tsay): amzn.to/44aZtT0

Statistical Consequences of Fat Tails (Taleb): amzn.to/3KMKGao

Active Portfolio Management (Grinold & Kahn): amzn.to/4aDlNIF

Python for Data Analysis (McKinney): amzn.to/48Ezm83

Learning SQL (Beaulieu): amzn.to/4iIkQRr

Convex Optimization (Boyd): amzn.to/3YiGWjW

Advances in Financial Machine Learning (López de Prado): amzn.to/4pW0RBk

Machine Learning for Asset Managers (López de Prado): amzn.to/3MgqNcm

Deep Learning (Goodfellow et al.): amzn.to/3XJmQ2L

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