Isbn: 9798180973047 - python 3.14 for quantitative trading: build institutional-grade trading systems, data pipelines, backtesting engines, and ai-powered research workflows (6 resultados)

Paperback. Condición: new. Paperback. What if your biggest trading edge wasn't your strategy-but your infrastructure?Most traders spend years searching for the perfect indicator.They chase new setups.They optimize entries.They tweak exits.Yet professional quantitative traders know a different truth: Strategies come and go. Infrastructure endures.A robust research platform can test hundreds of ideas.A reliable data pipeline can uncover opportunities competitors miss.A powerful backtesting engine can prevent costly mistakes before real money is ever placed at risk.In his previous bestseller, Algorithmic Trading with Python, Aidan Mercer showed traders how to build algorithmic trading systems using Python.Now he takes the next step.Python 3.14 for Quantitative Trading is designed for traders who want to move beyond simple scripts and begin building the kind of institutional-grade infrastructure used by professional quantitative firms.This is not another book about indicators.It is a practical guide to building the technology stack that powers modern quantitative research and systematic trading.Inside you'll learn how to: Build professional market data pipelines Clean and validate financial data at scale Engineer predictive features for quantitative strategies Create high-speed backtesting engines Avoid survivorship bias and lookahead bias Use modern Python 3.14 features to write cleaner, faster code Work with large datasets using Polars and DuckDB Design scalable research workflows Apply machine learning-ready feature engineering techniques Build maintainable quantitative trading architectures Leverage AI-assisted development to accelerate research Create a foundation for professional-grade trading systemsUnlike many trading books that focus solely on signals and indicators, this book focuses on the systems that generate a lasting edge.Whether you trade: StocksETFsFuturesOptionsForexCryptocurrencythe principles inside will help you build a more powerful research and trading operation.This book includes: Extensive Python examplesPractical quantitative workflowsData engineering concepts for tradersInstitutional research techniquesProfessional backtesting frameworksAI-assisted coding approachesModern Python 3.14 best practicesThe markets become more competitive every year.The traders who can collect better data, test faster, research more efficiently, and deploy more robust systems gain a powerful advantage.If you are ready to move from being a strategy user to becoming a quantitative system builder, this book will show you how.Stop searching for better indicators. Start building better infrastructure.Your next trading edge may not come from a new strategy.It may come from the system you build around it. Reader Guide: What Can Be Skipped?This book is designed to serve both newer Python users and experienced quantitative traders.If You Read Algorithmic Trading with PythonYou may skim or selectively read: Chapter 1: Introduction and Quant MindsetChapter 2: Python Fundamentals ReviewChapter 3: Modern Python 3.14 FeaturesIf You Are Already an Experienced Python DeveloperYou may skim: Python BasicsDataclassesType HintsBasic Async ConceptsIf You Are Already a Professional QuantYou may skim: Introductory Trading ConceptsBasic Data CollectionEntry-Level Backtesting</ul Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

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

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

Taschenbuch. Condición: Neu. Neuware.

Paperback. Condición: new. Paperback. What if your biggest trading edge wasn't your strategy-but your infrastructure?Most traders spend years searching for the perfect indicator.They chase new setups.They optimize entries.They tweak exits.Yet professional quantitative traders know a different truth: Strategies come and go. Infrastructure endures.A robust research platform can test hundreds of ideas.A reliable data pipeline can uncover opportunities competitors miss.A powerful backtesting engine can prevent costly mistakes before real money is ever placed at risk.In his previous bestseller, Algorithmic Trading with Python, Aidan Mercer showed traders how to build algorithmic trading systems using Python.Now he takes the next step.Python 3.14 for Quantitative Trading is designed for traders who want to move beyond simple scripts and begin building the kind of institutional-grade infrastructure used by professional quantitative firms.This is not another book about indicators.It is a practical guide to building the technology stack that powers modern quantitative research and systematic trading.Inside you'll learn how to: Build professional market data pipelines Clean and validate financial data at scale Engineer predictive features for quantitative strategies Create high-speed backtesting engines Avoid survivorship bias and lookahead bias Use modern Python 3.14 features to write cleaner, faster code Work with large datasets using Polars and DuckDB Design scalable research workflows Apply machine learning-ready feature engineering techniques Build maintainable quantitative trading architectures Leverage AI-assisted development to accelerate research Create a foundation for professional-grade trading systemsUnlike many trading books that focus solely on signals and indicators, this book focuses on the systems that generate a lasting edge.Whether you trade: StocksETFsFuturesOptionsForexCryptocurrencythe principles inside will help you build a more powerful research and trading operation.This book includes: Extensive Python examplesPractical quantitative workflowsData engineering concepts for tradersInstitutional research techniquesProfessional backtesting frameworksAI-assisted coding approachesModern Python 3.14 best practicesThe markets become more competitive every year.The traders who can collect better data, test faster, research more efficiently, and deploy more robust systems gain a powerful advantage.If you are ready to move from being a strategy user to becoming a quantitative system builder, this book will show you how.Stop searching for better indicators. Start building better infrastructure.Your next trading edge may not come from a new strategy.It may come from the system you build around it. Reader Guide: What Can Be Skipped?This book is designed to serve both newer Python users and experienced quantitative traders.If You Read Algorithmic Trading with PythonYou may skim or selectively read: Chapter 1: Introduction and Quant MindsetChapter 2: Python Fundamentals ReviewChapter 3: Modern Python 3.14 FeaturesIf You Are Already an Experienced Python DeveloperYou may skim: Python BasicsDataclassesType HintsBasic Async ConceptsIf You Are Already a Professional QuantYou may skim: Introductory Trading ConceptsBasic Data CollectionEntry-Level Backtes Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Condición: New. Print on Demand.