Verwandte Artikel zu Reinforcement Learning for Options and Volatility Trading:...
Reinforcement Learning for Options and Volatility Trading: Dynamic Hedging and Adaptive Strategies in Python - Softcover
Inhaltsangabe
Reactive Publishing
Reinforcement Learning for Options and Volatility Trading introduces a practical framework for applying deep reinforcement learning to options trading, dynamic hedging, and volatility strategies.
This book bridges quantitative finance and modern machine learning by showing how RL agents can be designed and trained to handle the unique challenges of derivative markets, including non-stationary price dynamics, regime shifts, and complex risk exposures such as gamma and vega.
What You’ll Find Inside:- Core concepts of reinforcement learning applied specifically to options and volatility trading
- Implementation of deep RL agents in Python for dynamic hedging decisions
- Market simulation techniques and regime-switching models
- Adaptive trading strategies that respond to changing market conditions
- Practical code examples and workflow guidance for building, training, and evaluating RL-based trading systems
Written for quantitative traders, Python developers, and researchers with a solid understanding of options pricing and machine learning fundamentals, this book emphasizes clear methodology over theoretical abstraction. All code and approaches are designed for real-world applicability while acknowledging the limitations and risks inherent in live trading.
Note: This is not a beginner’s guide to options trading or reinforcement learning. Readers should already be comfortable with stochastic processes, Python programming (NumPy, pandas, PyTorch/TensorFlow), and basic derivatives concepts.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Suchergebnisse für Reinforcement Learning for Options and Volatility Trading:...
Beispielbild für diese ISBN
Reinforcement Learning for Options and Volatility Trading: Dynamic Hedging and Adaptive Strategies in Python
Print-on-DemandAnbieter: California Books, Miami, FL, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers I-9798199464772
Neu kaufen
EUR 39,53
EUR 2,68 Versand
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Reinforcement Learning for Options and Volatility Trading
Print-on-DemandAnbieter: PBShop.store US, Wood Dale, IL, USA
Verkäuferbewertung 5 von 5 Sternen
PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9798199464772
Neu kaufen
EUR 42,50
Versand gratis
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Reinforcement Learning for Options and Volatility Trading
Print-on-DemandAnbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9798199464772
Neu kaufen
EUR 38,42
EUR 5,99 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Reinforcement Learning for Options and Volatility Trading (Paperback)
Print-on-DemandAnbieter: CitiRetail, Stevenage, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. Reactive PublishingReinforcement Learning for Options and Volatility Trading introduces a practical framework for applying deep reinforcement learning to options trading, dynamic hedging, and volatility strategies.This book bridges quantitative finance and modern machine learning by showing how RL agents can be designed and trained to handle the unique challenges of derivative markets, including non-stationary price dynamics, regime shifts, and complex risk exposures such as gamma and vega.What You'll Find Inside: Core concepts of reinforcement learning applied specifically to options and volatility tradingImplementation of deep RL agents in Python for dynamic hedging decisionsMarket simulation techniques and regime-switching modelsAdaptive trading strategies that respond to changing market conditionsPractical code examples and workflow guidance for building, training, and evaluating RL-based trading systemsWritten for quantitative traders, Python developers, and researchers with a solid understanding of options pricing and machine learning fundamentals, this book emphasizes clear methodology over theoretical abstraction. All code and approaches are designed for real-world applicability while acknowledging the limitations and risks inherent in live trading.Note: This is not a beginner's guide to options trading or reinforcement learning. Readers should already be comfortable with stochastic processes, Python programming (NumPy, pandas, PyTorch/TensorFlow), and basic derivatives concepts. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798199464772
Neu kaufen
EUR 43,03
EUR 44,18 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Reinforcement Learning for Options and Volatility Trading : Dynamic Hedging and Adaptive Strategies in Python
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware - Reactive PublishingReinforcement Learning for Options and Volatility Trading introduces a practical framework for applying deep reinforcement learning to options trading, dynamic hedging, and volatility strategies.This book bridges quantitative finance and modern machine learning by showing how RL agents can be designed and trained to handle the unique challenges of derivative markets, including non-stationary price dynamics, regime shifts, and complex risk exposures such as gamma and vega.What You'll Find Inside: - Core concepts of reinforcement learning applied specifically to options and volatility trading- Implementation of deep RL agents in Python for dynamic hedging decisions- Market simulation techniques and regime-switching models- Adaptive trading strategies that respond to changing market conditions- Practical code examples and workflow guidance for building, training, and evaluating RL-based trading systemsWritten for quantitative traders, Python developers, and researchers with a solid understanding of options pricing and machine learning fundamentals, this book emphasizes clear methodology over theoretical abstraction. All code and approaches are designed for real-world applicability while acknowledging the limitations and risks inherent in live trading.Note: This is not a beginner's guide to options trading or reinforcement learning. Readers should already be comfortable with stochastic processes, Python programming (NumPy, pandas, PyTorch/TensorFlow), and basic derivatives concepts. Bestandsnummer des Verkäufers 9798199464772
Neu kaufen
EUR 59,17
EUR 35,00 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 2 verfügbar