Quantitative trading systems (12 Ergebnisse)

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - Reactive PublishingPython for Quantitative Finance is a hands-on guide to applying Python to the complex world of financial modeling, derivatives, and algorithmic trading. Written for quantitative analysts, traders, and finance professionals, it blends rigorous financial theory with practical programming techniques to deliver real-world, production-ready solutions.Inside, you'll discover how to: - Implement risk management frameworks with Monte Carlo simulations and Value-at-Risk (VaR).- Price derivatives and options using Python-based numerical and analytical methods.- Build portfolio optimization models with Python's scientific libraries.- Develop algorithmic trading systems powered by advanced data analysis and machine learning.- Apply stochastic processes and time series forecasting for volatility and pricing.- Integrate Pandas, NumPy, SciPy, and TensorFlow into financial workflows.This book provides more than just code, it emphasizes why and how to apply Python in professional finance, ensuring readers gain both technical depth and practical insight. Whether you're managing risk, pricing complex instruments, or designing automated strategies, this guide equips you with the tools to compete at the cutting edge of quantitative finance.…

Taschenbuch. Zustand: Neu. Neuware - Reactive PublishingBridging the Gap Between Financial Theory and Physical Market RealitiesEnergy trading operates under strict physical constraints that traditional financial modeling often ignores. In Commodity & Power Market Quantitative Analytics, Oliver J. Thatch delivers a rigorous framework designed specifically for the unique mechanics of power grids, regional commodity hubs, and complex energy derivatives.This comprehensive volume moves beyond abstract pricing equations to address the actual operational friction faced by quantitative analysts, risk engineers, and trading desks, from grid congestion and non-storable power dynamics to extreme price volatility and spatial basis risk.Key Topics Covered: - Physical Constraints & Grid Mechanics: Incorporating transmission limits, unit commitment friction, non-storability, and generation dispatch into pricing models.- Quantitative Risk Engineering: Modeling non-Gaussian price distributions, sudden spike risks, negative pricing events, and volumetric uncertainty.- Energy Trading Systems: Constructing robust valuation frameworks for swing options, virtual power plants, spatial basis spreads, and cross-border interconnectors.- Advanced Econometric Methods: Implementing mean-reverting jump-diffusion models, regime-switching techniques, and structural supply-demand curve modeling.Whether you are building valuation pipelines, optimizing asset dispatch, or managing exposure in volatile prompt markets, this book provides the mathematical foundations and practitioner-focused insights required to engineer resilient trading and risk systems.Essential reading for Quantitative Analysts, Energy Risk Managers, Commodity Structurers, and Trading Systems Engineers. …

Taschenbuch. Zustand: Neu. Neuware - Reactive Publishing Advanced Rust for Quantitative Finance explores how to leverage Rust's performance, safety, and concurrency features to build robust trading systems used in modern quantitative finance. This book focuses on the practical application of advanced Rust techniques for constructing trading infrastructure and low-latency execution systems. Readers will learn how to design, implement, and optimize components critical to high-performance financial applications, including order management, market data processing, and execution engines. Key topics include: - Writing safe, concurrent, and memory-efficient Rust code for finance- Building modular trading infrastructure- Implementing low-latency system design principles- Performance optimization and profiling techniques>Written for experienced Rust developers and quantitative professionals, this book assumes familiarity with core Rust concepts and basic quantitative finance principles. It emphasizes technical depth, architectural best practices, and real-world implementation considerations rather than theoretical trading strategies. Whether you are developing trading platforms, market-making systems, or high-frequency execution tools, this book provides a focused guide to applying advanced Rust in the demanding domain of quantitative finance.…