Reactive Publishing
Unlock the power of algorithmic options trading with Quant Options, the definitive guide for traders, quants, and financial engineers looking to gain an edge in the markets. This book fuses advanced quantitative strategies with the speed and flexibility of Python, giving you the tools to build, test, and execute high-performance options trading algorithms.
Designed for serious traders, this guide goes beyond the basics, diving into the quantitative methods, stochastic models, and automation techniques that drive institutional-grade trading success. Whether you’re an experienced options trader or a data-driven quant, this book delivers a cutting-edge framework to take your trading to the next level.
What You’ll Learn:Options Pricing & Volatility Modeling – Master the Greeks, Black-Scholes, and advanced pricing models.
Algorithmic Trading Strategies – Implement delta-neutral, volatility, and statistical arbitrage techniques.
Backtesting & Risk Management – Validate your strategies with robust performance testing.
Automated Execution – Leverage Python to integrate with APIs for live trading.
Machine Learning for Options – Apply predictive analytics to uncover hidden market patterns.
Hedging & Portfolio Optimization – Reduce risk and maximize profitability with quant-driven strategies.
Built for those who demand precision, automation, and performance, Quant Options is your ultimate guide to trading options like a quant—with confidence, speed, and efficiency.
Transform your trading today with the power of Python and quantitative finance.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 50041810-n
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Reactive Publishing Unlock the power of algorithmic options trading with Quant Options, the definitive guide for traders, quants, and financial engineers looking to gain an edge in the markets. This book fuses advanced quantitative strategies with the speed and flexibility of Python, giving you the tools to build, test, and execute high-performance options trading algorithms.Designed for serious traders, this guide goes beyond the basics, diving into the quantitative methods, stochastic models, and automation techniques that drive institutional-grade trading success. Whether you're an experienced options trader or a data-driven quant, this book delivers a cutting-edge framework to take your trading to the next level.What You'll Learn: Options Pricing & Volatility Modeling - Master the Greeks, Black-Scholes, and advanced pricing models.Algorithmic Trading Strategies - Implement delta-neutral, volatility, and statistical arbitrage techniques.Backtesting & Risk Management - Validate your strategies with robust performance testing.Automated Execution - Leverage Python to integrate with APIs for live trading.Machine Learning for Options - Apply predictive analytics to uncover hidden market patterns.Hedging & Portfolio Optimization - Reduce risk and maximize profitability with quant-driven strategies.Built for those who demand precision, automation, and performance, Quant Options is your ultimate guide to trading options like a quant-with confidence, speed, and efficiency.Transform your trading today with the power of Python and quantitative finance. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798314772225
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Da: California Books, Miami, FL, U.S.A.
Condizione: New. Print on Demand. Codice articolo I-9798314772225
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Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9798314772225
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 50041810
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9798314772225
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Da: Rarewaves.com USA, London, LONDO, Regno Unito
Paperback. Condizione: New. Codice articolo LU-9798314772225
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: New. Codice articolo 50041810-n
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: As New. Unread book in perfect condition. Codice articolo 50041810
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Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: new. Paperback. Reactive Publishing Unlock the power of algorithmic options trading with Quant Options, the definitive guide for traders, quants, and financial engineers looking to gain an edge in the markets. This book fuses advanced quantitative strategies with the speed and flexibility of Python, giving you the tools to build, test, and execute high-performance options trading algorithms.Designed for serious traders, this guide goes beyond the basics, diving into the quantitative methods, stochastic models, and automation techniques that drive institutional-grade trading success. Whether you're an experienced options trader or a data-driven quant, this book delivers a cutting-edge framework to take your trading to the next level.What You'll Learn: Options Pricing & Volatility Modeling - Master the Greeks, Black-Scholes, and advanced pricing models.Algorithmic Trading Strategies - Implement delta-neutral, volatility, and statistical arbitrage techniques.Backtesting & Risk Management - Validate your strategies with robust performance testing.Automated Execution - Leverage Python to integrate with APIs for live trading.Machine Learning for Options - Apply predictive analytics to uncover hidden market patterns.Hedging & Portfolio Optimization - Reduce risk and maximize profitability with quant-driven strategies.Built for those who demand precision, automation, and performance, Quant Options is your ultimate guide to trading options like a quant-with confidence, speed, and efficiency.Transform your trading today with the power of Python and quantitative finance. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798314772225
Quantità: 1 disponibili