Isbn: 9798274427647 - reinforcement learning for live market execution: building rl agents with action penalties, slippage modelling, market impact.: 2 (algorithmic alpha: next-gen trading systems for the modern market) (5 resultados)

ISBN: 
Refinar con la Búsqueda avanzada

Filtrar la búsqueda

  • Libros (5)

  • Nuevo (5)

a

Intervalo de precios personalizado (EUR)

a

  • Idioma: Inglés

    Editorial: Independently Published, 2025

    9798274427647

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

    • Tapa blanda

    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 43,56

     Gastos de envío gratis 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

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

  • Idioma: Inglés

    Editorial: Independently Published, 2025

    9798274427647

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

    • Tapa blanda

    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 39,16

    Envío por EUR 5,92 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

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

  • Idioma: Inglés

    Editorial: Independently published, 2025

    9798274427647

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

    • Tapa blanda
    • Impresión bajo demanda

    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 38,62

     Gastos de envío gratis 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    Condición: New. Print on Demand.

  • Idioma: Inglés

    Editorial: Independently Published, 2025

    9798274427647

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

    • Tapa blanda
    • Impresión bajo demanda

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

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 43,58

     Gastos de envío gratis 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: 1 disponible

    Paperback. Condición: new. 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.…

  • Idioma: Inglés

    Editorial: Independently Published, 2025

    9798274427647

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

    • Tapa blanda
    • Impresión bajo demanda

    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 43,73

    Envío por EUR 43,65 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Paperback. Condición: new. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.…