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The NumPy Quant Handbook: Master Numerical Computing for Finance, Trading & Risk Management - Softcover
Inhaltsangabe
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.
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The NumPy Quant Handbook: Master Numerical Computing for Finance, Trading & Risk Management
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The NumPy Quant Handbook (Paperback)
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Paperback. Zustand: new. Paperback. Reactive PublishingThe 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 speedFinancial data wrangling - working with tick data, order books, and massive time seriesTrading strategies - backtesting, signal generation, and execution logic using pure NumPyRisk management - Value-at-Risk (VaR), Expected Shortfall, Monte Carlo simulations, and stress testingPortfolio optimization - Markowitz, Black-Litterman, and advanced numerical solversDerivatives & quantitative models - option pricing, Greeks, and finite difference methodsProduction-grade techniques - performance optimization, numerical stability, and integration with pandas, Numba, and CythonWith 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 researchersAlgorithmic traders and developersRisk managers and portfolio analystsFinance students and self-taught quants ready to level upTurn data into decisions. Turn Python into profit. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9798185639566
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The NumPy Quant Handbook
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The NumPy Quant Handbook (Paperback)
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Paperback. Zustand: new. Paperback. Reactive PublishingThe 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 speedFinancial data wrangling - working with tick data, order books, and massive time seriesTrading strategies - backtesting, signal generation, and execution logic using pure NumPyRisk management - Value-at-Risk (VaR), Expected Shortfall, Monte Carlo simulations, and stress testingPortfolio optimization - Markowitz, Black-Litterman, and advanced numerical solversDerivatives & quantitative models - option pricing, Greeks, and finite difference methodsProduction-grade techniques - performance optimization, numerical stability, and integration with pandas, Numba, and CythonWith 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 researchersAlgorithmic traders and developersRisk managers and portfolio analystsFinance students and self-taught quants ready to level upTurn data into decisions. Turn Python into profit. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798185639566
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The NumPy Quant Handbook : Master Numerical Computing for Finance, Trading & Risk Management
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Taschenbuch. Zustand: Neu. Neuware - Reactive PublishingThe 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 CythonWith 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 upTurn data into decisions. Turn Python into profit. Bestandsnummer des Verkäufers 9798185639566
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