Isbn: 9798274845939 - ruby for finance: algorithmic trading, quant systems, and workflow automation: building trading engines, data pipelines, and automated market systems with ruby (applications with ruby, band 4) (4 Ergebnisse)

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

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

Paperback. Zustand: new. Paperback. Reactive PublishingBuild real trading engines. Automate your research. Turn Ruby into your quant advantage.Modern markets reward engineers who can prototype fast, integrate data cleanly, and deploy automated systems with precision. Ruby for Finance shows you how to transform Ruby into a serious tool for algorithmic trading, quantitative research, risk modeling, and workflow automation, without unnecessary complexity.This is not a theoretical tour. It's a hands-on guide to building real, production-grade trading infrastructure.From fast market-data pipelines to execution modules, Ruby gives you a flexible ecosystem for designing automated workflows that financial teams actually use. Whether you come from Python, Java, or C++, this book will show you how to leverage Ruby's clarity and expressiveness to build systems that are both powerful and easy to maintain.What you'll learn inside: - Market Data EngineeringStream, store, transform, and analyze market data with Ruby.Implement clean data pipelines, time-series storage, and feature engineering.- Algorithmic Trading ArchitectureDesign backtesting engines, signal generators, risk modules, and execution workflows.Structure your codebase the way professional trading teams do.- Automation for Quants & Finance TeamsBuild automated reporting, real-time alerts, portfolio monitors, reconciliation systems, and research dashboards.- APIs, Integrations & Live ExecutionConnect to exchanges, brokers, and data providers using REST, WebSockets, FIX-like flows, and custom adapters.- Quantitative Tools & TechniquesBuild models for volatility, indicators, factors, and statistical analysis using Ruby's scientific ecosystem and optimized libraries.- Scaling & DeploymentDesign reliable background workers, distributed tasks, containerized execution environments, and cron-driven workflows.Who this book is for- Algorithmic traders and quants who want rapid prototyping- Software engineers entering finance- Fintech founders and indie developers automating workflows- Analysts upgrading their technical capabilities- Anyone who wants to build real trading systems with minimal overheadWhy this book stands outRuby is often overlooked in finance, which is exactly why it's so powerful.Its elegance, speed of development, rich tooling, and metaprogramming capabilities make it ideal for building custom financial systems quickly and cleanly.Ruby for Finance shows you how to make the most of it, with real architectures, real code, and real-world trading workflows.If you're serious about building automated financial systems with speed, clarity, and precision, this is the Ruby book you've been waiting for. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Zustand: new. Paperback. Reactive PublishingBuild real trading engines. Automate your research. Turn Ruby into your quant advantage.Modern markets reward engineers who can prototype fast, integrate data cleanly, and deploy automated systems with precision. Ruby for Finance shows you how to transform Ruby into a serious tool for algorithmic trading, quantitative research, risk modeling, and workflow automation, without unnecessary complexity.This is not a theoretical tour. It's a hands-on guide to building real, production-grade trading infrastructure.From fast market-data pipelines to execution modules, Ruby gives you a flexible ecosystem for designing automated workflows that financial teams actually use. Whether you come from Python, Java, or C++, this book will show you how to leverage Ruby's clarity and expressiveness to build systems that are both powerful and easy to maintain.What you'll learn inside: - Market Data EngineeringStream, store, transform, and analyze market data with Ruby.Implement clean data pipelines, time-series storage, and feature engineering.- Algorithmic Trading ArchitectureDesign backtesting engines, signal generators, risk modules, and execution workflows.Structure your codebase the way professional trading teams do.- Automation for Quants & Finance TeamsBuild automated reporting, real-time alerts, portfolio monitors, reconciliation systems, and research dashboards.- APIs, Integrations & Live ExecutionConnect to exchanges, brokers, and data providers using REST, WebSockets, FIX-like flows, and custom adapters.- Quantitative Tools & TechniquesBuild models for volatility, indicators, factors, and statistical analysis using Ruby's scientific ecosystem and optimized libraries.- Scaling & DeploymentDesign reliable background workers, distributed tasks, containerized execution environments, and cron-driven workflows.Who this book is for- Algorithmic traders and quants who want rapid prototyping- Software engineers entering finance- Fintech founders and indie developers automating workflows- Analysts upgrading their technical capabilities- Anyone who wants to build real trading systems with minimal overheadWhy this book stands outRuby is often overlooked in finance, which is exactly why it's so powerful.Its elegance, speed of development, rich tooling, and metaprogramming capabilities make it ideal for building custom financial systems quickly and cleanly.Ruby for Finance shows you how to make the most of it, with real architectures, real code, and real-world trading workflows.If you're serious about building automated financial systems with speed, clarity, and precision, this is the Ruby book you've been waiting for. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…