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Reactive Publishing

The NumPy Quant Handbook is the ultimate practical guide to mastering numerical computing with NumPy in the world of finance. Written for quants, traders, portfolio managers, and Python-savvy finance professionals, this book bridges the gap between theoretical finance and real-world implementation.

What You'll Master:

• High-performance array computing - vectorization, broadcasting, and memory-efficient code that runs at lightning speed
• Financial data wrangling - working with tick data, order books, and massive time series
• Trading strategies - backtesting, signal generation, and execution logic using pure NumPy
• Risk management - Value-at-Risk (VaR), Expected Shortfall, Monte Carlo simulations, and stress testing
• Portfolio optimization - Markowitz, Black-Litterman, and advanced numerical solvers
• Derivatives & quantitative models - option pricing, Greeks, and finite difference methods
• Production-grade techniques - performance optimization, numerical stability, and integration with pandas, Numba, and Cython

With hands-on code examples, real market data applications, and battle-tested patterns used by top quant funds, this handbook transforms NumPy from a basic library into your most powerful competitive advantage.

Perfect for:

• Quantitative analysts and researchers
• Algorithmic traders and developers
• Risk managers and portfolio analysts
• Finance students and self-taught quants ready to level up

Turn data into decisions. Turn Python into profit.

Parametry knihy

• Plný název: The NumPy Quant Handbook
• Podnázev: Master Numerical Computing for Finance, Trading & Risk Management
• Autor: James Preston, Hayden Van Der Post, Alice Schwartz
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 484
• EAN: 9798185639566
• ID: 53203183
• Nakladatelství: Independently published
• Hmotnost: 581 g
• Rozměry: 229 × 152 × 31 mm
• Datum vydání: 05. July 2026

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