9798896652373 - synthetic markets: using generative ai to stress-test trading strategies de trex, victor (6 resultados)
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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Paperback. Condición: new. Paperback. "Synthetic Markets: Using Generative AI to Stress-Test Trading Strategies"Synthetic Markets: Using Generative AI to Stress-Test Trading Strategies is a practical, research-grade guide for quants, traders, risk managers, and data scientists who want to rigorously probe the limits of their str…ategies before real capital is at risk. Blending modern machine learning with market microstructure and risk management, it shows how to turn generative AI into a controlled laboratory for adversarial market scenarios, liquidity shocks, and regime shifts.The book builds from quantitative foundations and market structure through generative-model design, synthetic simulation, and stress-testing methodologies. Readers learn how to construct realistic scenario generators that respect stylized facts and no-arbitrage constraints; integrate GANs, VAEs, diffusion models, and sequence models with agent-based and limit-order-book simulators; and align synthetic paths with backtesting, risk measures, and portfolio construction. Emphasis is placed on evaluation, governance, and MLOps so that synthetic markets can be deployed safely in institutional settings.Designed as a self-contained reference, the text assumes comfort with basic probability, statistics, and Python but reintroduces key tools from time-series analysis, optimization, and deep learning as needed. Worked examples, reproducible pipelines, and case studies on equity LOB strategies and options portfolios distinguish this book as a complete blueprint for using generative AI to make trading systems more resilient, explainable, and ro This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Synthetic Markets: Using Generative AI to Stress-Test Trading Strategies'Synthetic Markets: Using Generative AI to Stress-Test Trading Strategies is a practical, research-grade guide for quants, traders, risk managers, and data scientis…ts who want to rigorously probe the limits of their strategies before real capital is at risk. Blending modern machine learning with market microstructure and risk management, it shows how to turn generative AI into a controlled laboratory for adversarial market scenarios, liquidity shocks, and regime shifts.The book builds from quantitative foundations and market structure through generative-model design, synthetic simulation, and stress-testing methodologies. Readers learn how to construct realistic scenario generators that respect stylized facts and no-arbitrage constraints; integrate GANs, VAEs, diffusion models, and sequence models with agent-based and limit-order-book simulators; and align synthetic paths with backtesting, risk measures, and portfolio construction. Emphasis is placed on evaluation, governance, and MLOps so that synthetic markets can be deployed safely in institutional settings.Designed as a self-contained reference, the text assumes comfort with basic probability, statistics, and Python but reintroduces key tools from time-series analysis, optimization, and deep learning as needed. Worked examples, reproducible pipelines, and case studies on equity LOB strategies and options portfolios distinguish this book as a complete blueprint for using generative AI to make trading systems more resilient, explainable, and ro.
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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: Neu. Synthetic Markets | Using Generative AI to Stress-Test Trading Strategies | Victor Trex | Taschenbuch | Englisch | 2025 | NobleTrex Press | EAN 9798896652373 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
