Reinforcement Learning for Live Market Execution (Paperback)

Idioma: inglés

Editorial: Independently Published, 2025

9798274427647

Serie: Libro 2 de 6 - Algorithmic Alpha: Next-Gen Trading Systems for the Modern Market

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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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Vendedor de IberLibro desde 12 de octubre de 2005

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Paperback. Reactive PublishingExecution is where theories die and real trading begins.In today's markets, microseconds matter, order books shift without warning, and liquidity evaporates the moment a trader hesitates. Reinforcement learning, built on adaptive decision-making and continuous reward optimization, has become the most powerful framework for navigating this environment.Reinforcement Learning for Live Market Execution reveals how modern quant desks design agents that learn, react, and evolve inside real-time market conditions. This is not a theoretical tour. It is a practical, institutional-grade manual for building RL-driven execution systems capable of surviving and thriving in live markets.Inside, you'll learn how to: Construct RL agents that optimize entries, exits, sizing, and timing in dynamic environmentsModel slippage, spread, queue position, and market impact as penalties and rewardsTrain policies using volatility shocks, liquidity droughts, and regime shiftsIntegrate RL with microstructure signals: order flow imbalance, volatility bursts, and quote dynamicsBuild execution engines for futures, options, and crypto using constrained decision workflowsRun walk-forward simulations that mirror real-world stress conditionsDeploy agents to live trading while maintaining risk controls and fail-safe overridesEach chapter focuses on durability, how to engineer models that not only backtest well, but perform reliably when the market becomes chaotic, thin, or structurally hostile.For quantitative traders, algorithm designers, and researchers seeking an advanced but accessible pathway into reinforcement learning, this book offers a complete blueprint for turning RL into a true execution edge. This is the future of live market execution, built one decision at a time. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

N° de ref. del artículo 9798274427647

Título
Reinforcement Learning for Live Market Execution (Paperback)
Autor
Danny Munrow
Editorial
Independently Published
Año de publicación
2025
Estado
new
Encuadernación
Paperback
Idioma
inglés
ISBN 13
9798274427647
Serie
Libro 2 de 6: Algorithmic Alpha: Next-Gen Trading Systems for the Modern Market

Grand Eagle Retail

Bensenville, IL, Estados Unidos de America

Vendedor de 5 estrellas

Vendedor de IberLibro desde 12 de octubre de 2005

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