9798272901828 - entropy and information theory in markets: quantitative insights into uncertainty, signal, and alpha extraction.: a practical guide for building robust trading systems using information measures. di crossley, ethan (4 risultati)
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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EUR 44,83
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 40,27
EUR 5,84 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 44,82
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Reactive PublishingIn financial markets, uncertainty isn't the enemy, it's the raw material of opportunity. Entropy and Information Theory in Markets reveals how the mathematics of information, probability, and complexity can be transformed into a powerful framework for understanding market… dynamics, extracting signal from noise, and engineering sustainable alpha.Drawing from the pioneering work of Claude Shannon and contemporary advances in quantitative finance, this book bridges theory and practice. Ethan Crossley guides readers through the core principles of entropy, mutual information, and Kullback-Leibler divergence, then shows how to apply these measures directly to portfolio optimization, regime detection, and algorithmic strategy design.Inside, you'll discover how to: Quantify uncertainty and information flow in financial time series.Detect genuine signal amid the randomness of market noise.Measure efficiency, structure, and predictability in evolving markets.Integrate entropy-based risk metrics into trading and portfolio construction.Design adaptive systems that self-correct in changing environments.Blending deep mathematical insight with real-world quant application, this guide redefines how traders and data scientists think about edge. Whether you're building systematic trading models, exploring AI-driven prediction, or developing your own alpha framework, this is the missing link between data, uncertainty, and profit.Turn entropy into your competitive advantage, master the information layer of the market. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 44,92
EUR 43,05 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Reactive PublishingIn financial markets, uncertainty isn't the enemy, it's the raw material of opportunity. Entropy and Information Theory in Markets reveals how the mathematics of information, probability, and complexity can be transformed into a powerful framework for understanding market… dynamics, extracting signal from noise, and engineering sustainable alpha.Drawing from the pioneering work of Claude Shannon and contemporary advances in quantitative finance, this book bridges theory and practice. Ethan Crossley guides readers through the core principles of entropy, mutual information, and Kullback-Leibler divergence, then shows how to apply these measures directly to portfolio optimization, regime detection, and algorithmic strategy design.Inside, you'll discover how to: Quantify uncertainty and information flow in financial time series.Detect genuine signal amid the randomness of market noise.Measure efficiency, structure, and predictability in evolving markets.Integrate entropy-based risk metrics into trading and portfolio construction.Design adaptive systems that self-correct in changing environments.Blending deep mathematical insight with real-world quant application, this guide redefines how traders and data scientists think about edge. Whether you're building systematic trading models, exploring AI-driven prediction, or developing your own alpha framework, this is the missing link between data, uncertainty, and profit.Turn entropy into your competitive advantage, master the information layer of the market. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
