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Ruby for Finance: Algorithmic Trading, Quant Systems, and Workflow Automation: Building Trading Engines, Data Pipelines, and Automated Market Systems
Paperback
Publisher: Independently Published
Published: Nov 17 2025
Pages: 572
Weight: 1.66
Height: 1.16 Width: 6.00 Depth: 9.00
Language: English
Build 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 Engineering
Stream, store, transform, and analyze market data with Ruby.
Implement clean data pipelines, time-series storage, and feature engineering.
- Algorithmic Trading Architecture
Design backtesting engines, signal generators, risk modules, and execution workflows.
Structure your codebase the way professional trading teams do.
- Automation for Quants & Finance Teams
Build automated reporting, real-time alerts, portfolio monitors, reconciliation systems, and research dashboards.
- APIs, Integrations & Live Execution
Connect to exchanges, brokers, and data providers using REST, WebSockets, FIX-like flows, and custom adapters.
- Quantitative Tools & Techniques
Build models for volatility, indicators, factors, and statistical analysis using Ruby's scientific ecosystem and optimized libraries.
- Scaling & Deployment
Design reliable background workers, distributed tasks, containerized execution environments, and cron-driven workflows.
- 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 overhead
Ruby 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.
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