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Published by Chapman and Hall/CRC, 2026
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Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032972262 ISBN 13: 9781032972268
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Language: English
Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032972262 ISBN 13: 9781032972268
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Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032972262 ISBN 13: 9781032972268
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Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032972262 ISBN 13: 9781032972268
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Published by Chapman and Hall/CRC, 2026
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Published by Chapman and Hall/CRC, 2026
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Published by Taylor & Francis Ltd Apr 2026, 2026
ISBN 10: 1032972262 ISBN 13: 9781032972268
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Buch. Condition: Neu. Neuware - Unlock the full potential of quantitative trading with Prescriptions for Quant Traders Using R-a practical, hands-on guide for turning data into trading decisions.
Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1032972289 ISBN 13: 9781032972282
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. Unlock the full potential of quantitative trading with Prescriptions for Quant Traders Using Ra practical, hands-on guide for turning data into trading decisions. This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. Organized into ten structured parts, it delivers step-by-step prescriptions using Rscript-driven tasks that solve real-world trading problems. Each prescription is designed to be immediately actionable, so readers can move from concept to implementation without guesswork. What makes this book different is its clarity, utility, and its link to online video walk-throughs of R scripts. The text flows seamlessly without interruptions, yet a comprehensive bibliography ensures depth and rigor. Every chapter blends explanation with executable code, enabling traders to: Design systematic trading strategies in R and understand why they work. Apply robust statistical and econometric methods to financial data for better predictions. Evaluate risk and performance metrics to refine strategies with confidence. Automate workflows so insights move faster from model to market.Whether you are a retail trader aiming to compete with professionals, a financial analyst seeking sharper models, or a data scientist expanding into trading, this book bridges the gap between theory and practice. Readers will find special value in the prescription-based approach. Just as a doctor prescribes remedies, these scripts deliver targeted solutions to trading challengesfrom portfolio optimization and volatility forecasting to Bayesian inference and machine learning integration.In a marketplace where retail participation continues to grow, Prescriptions for Quant Traders Using R equips you with the knowledge, tools, and confidence to approach trading systematically. The result: deeper insights, stronger discipline, and strategies that stand the test of real-world markets.Whether youre coding your first model or refining a sophisticated strategy, this book provides the prescriptions you need to succeed. Prescriptions for Quant Traders Using R is a practical, hands-on guide for turning data into trading decisions. This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. It delivers step-by-step prescriptions using Rscript-driven tasks that solve real-world trading problems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1032972289 ISBN 13: 9781032972282
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. Unlock the full potential of quantitative trading with Prescriptions for Quant Traders Using Ra practical, hands-on guide for turning data into trading decisions.This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. Organized into ten structured parts, it delivers step-by-step prescriptions using Rscript-driven tasks that solve real-world trading problems. Each prescription is designed to be immediately actionable, so readers can move from concept to implementation without guesswork.What makes this book different is its clarity, utility, and its link to online video walk-throughs of R scripts. Modeled in the spirit of a Scientific American article, the text flows seamlessly without interruptions, yet a comprehensive bibliography ensures depth and rigor. Every chapter blends explanation with executable code, enabling traders to: Design systematic trading strategies in R and understand why they work. Apply robust statistical and econometric methods to financial data for better predictions. Evaluate risk and performance metrics to refine strategies with confidence. Automate workflows so insights move faster from model to market.Whether you are a retail trader aiming to compete with professionals, a financial analyst seeking sharper models, or a data scientist expanding into trading, this book bridges the gap between theory and practice.Readers will find special value in the prescription-based approach. Just as a doctor prescribes remedies, these scripts deliver targeted solutions to trading challengesfrom portfolio optimization and volatility forecasting to Bayesian inference and machine learning integration.In a marketplace where retail participation continues to grow, Prescriptions for Quant Traders Using R equips you with the knowledge, tools, and confidence to approach trading systematically. The result: deeper insights, stronger discipline, and strategies that stand the test of real-world markets.Whether youre coding your first model or refining a sophisticated strategy, this book provides the prescriptions you need to succeed. Prescriptions for Quant Traders Using R is a practical, hands-on guide for turning data into trading decisions. This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. It delivers step-by-step prescriptions using Rscript-driven tasks that solve real-world trading problems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1032972289 ISBN 13: 9781032972282
Seller: AussieBookSeller, Truganina, VIC, Australia
Paperback. Condition: new. Paperback. Unlock the full potential of quantitative trading with Prescriptions for Quant Traders Using Ra practical, hands-on guide for turning data into trading decisions.This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. Organized into ten structured parts, it delivers step-by-step prescriptions using Rscript-driven tasks that solve real-world trading problems. Each prescription is designed to be immediately actionable, so readers can move from concept to implementation without guesswork.What makes this book different is its clarity, utility, and its link to online video walk-throughs of R scripts. Modeled in the spirit of a Scientific American article, the text flows seamlessly without interruptions, yet a comprehensive bibliography ensures depth and rigor. Every chapter blends explanation with executable code, enabling traders to: Design systematic trading strategies in R and understand why they work. Apply robust statistical and econometric methods to financial data for better predictions. Evaluate risk and performance metrics to refine strategies with confidence. Automate workflows so insights move faster from model to market.Whether you are a retail trader aiming to compete with professionals, a financial analyst seeking sharper models, or a data scientist expanding into trading, this book bridges the gap between theory and practice.Readers will find special value in the prescription-based approach. Just as a doctor prescribes remedies, these scripts deliver targeted solutions to trading challengesfrom portfolio optimization and volatility forecasting to Bayesian inference and machine learning integration.In a marketplace where retail participation continues to grow, Prescriptions for Quant Traders Using R equips you with the knowledge, tools, and confidence to approach trading systematically. The result: deeper insights, stronger discipline, and strategies that stand the test of real-world markets.Whether youre coding your first model or refining a sophisticated strategy, this book provides the prescriptions you need to succeed. Prescriptions for Quant Traders Using R is a practical, hands-on guide for turning data into trading decisions. This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. It delivers step-by-step prescriptions using Rscript-driven tasks that solve real-world trading problems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Language: English
Published by Chapman and Hall/CRC, 2026
ISBN 10: 1032972289 ISBN 13: 9781032972282
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Taschenbuch. Condition: Neu. Prescriptions for Quant Traders Using R | Videos & Scripts | Jason Guevara (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | Chapman and Hall/CRC | EAN 9781032972282 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1032972262 ISBN 13: 9781032972268
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. Unlock the full potential of quantitative trading with Prescriptions for Quant Traders Using Ra practical, hands-on guide for turning data into trading decisions.This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. Organized into ten structured parts, it delivers step-by-step prescriptions using Rscript-driven tasks that solve real-world trading problems. Each prescription is designed to be immediately actionable, so readers can move from concept to implementation without guesswork.What makes this book different is its clarity, utility, and its link to online video walk-throughs of R scripts. Modeled in the spirit of a Scientific American article, the text flows seamlessly without interruptions, yet a comprehensive bibliography ensures depth and rigor. Every chapter blends explanation with executable code, enabling traders to: Design systematic trading strategies in R and understand why they work. Apply robust statistical and econometric methods to financial data for better predictions. Evaluate risk and performance metrics to refine strategies with confidence. Automate workflows so insights move faster from model to market.Whether you are a retail trader aiming to compete with professionals, a financial analyst seeking sharper models, or a data scientist expanding into trading, this book bridges the gap between theory and practice.Readers will find special value in the prescription-based approach. Just as a doctor prescribes remedies, these scripts deliver targeted solutions to trading challengesfrom portfolio optimization and volatility forecasting to Bayesian inference and machine learning integration.In a marketplace where retail participation continues to grow, Prescriptions for Quant Traders Using R equips you with the knowledge, tools, and confidence to approach trading systematically. The result: deeper insights, stronger discipline, and strategies that stand the test of real-world markets.Whether youre coding your first model or refining a sophisticated strategy, this book provides the prescriptions you need to succeed. Prescriptions for Quant Traders Using R is a practical, hands-on guide for turning data into trading decisions. This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. It delivers step-by-step prescriptions using Rscript-driven tasks that solve real-world trading problems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Chapman And Hall/CRC, 2026
ISBN 10: 1032972289 ISBN 13: 9781032972282
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Prescriptions for Quant Traders Using R is a practical, hands-on guide for turning data into trading decisions. This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. It delivers step-by-step 'prescriptions' using R-script-driven tasks that solve real-world trading problems.
Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1032972262 ISBN 13: 9781032972268
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. Unlock the full potential of quantitative trading with Prescriptions for Quant Traders Using Ra practical, hands-on guide for turning data into trading decisions.This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. Organized into ten structured parts, it delivers step-by-step prescriptions using Rscript-driven tasks that solve real-world trading problems. Each prescription is designed to be immediately actionable, so readers can move from concept to implementation without guesswork.What makes this book different is its clarity, utility, and its link to online video walk-throughs of R scripts. Modeled in the spirit of a Scientific American article, the text flows seamlessly without interruptions, yet a comprehensive bibliography ensures depth and rigor. Every chapter blends explanation with executable code, enabling traders to: Design systematic trading strategies in R and understand why they work. Apply robust statistical and econometric methods to financial data for better predictions. Evaluate risk and performance metrics to refine strategies with confidence. Automate workflows so insights move faster from model to market.Whether you are a retail trader aiming to compete with professionals, a financial analyst seeking sharper models, or a data scientist expanding into trading, this book bridges the gap between theory and practice.Readers will find special value in the prescription-based approach. Just as a doctor prescribes remedies, these scripts deliver targeted solutions to trading challengesfrom portfolio optimization and volatility forecasting to Bayesian inference and machine learning integration.In a marketplace where retail participation continues to grow, Prescriptions for Quant Traders Using R equips you with the knowledge, tools, and confidence to approach trading systematically. The result: deeper insights, stronger discipline, and strategies that stand the test of real-world markets.Whether youre coding your first model or refining a sophisticated strategy, this book provides the prescriptions you need to succeed. Prescriptions for Quant Traders Using R is a practical, hands-on guide for turning data into trading decisions. This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. It delivers step-by-step prescriptions using Rscript-driven tasks that solve real-world trading problems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1032972262 ISBN 13: 9781032972268
Seller: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condition: new. Hardcover. Unlock the full potential of quantitative trading with Prescriptions for Quant Traders Using Ra practical, hands-on guide for turning data into trading decisions.This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. Organized into ten structured parts, it delivers step-by-step prescriptions using Rscript-driven tasks that solve real-world trading problems. Each prescription is designed to be immediately actionable, so readers can move from concept to implementation without guesswork.What makes this book different is its clarity, utility, and its link to online video walk-throughs of R scripts. Modeled in the spirit of a Scientific American article, the text flows seamlessly without interruptions, yet a comprehensive bibliography ensures depth and rigor. Every chapter blends explanation with executable code, enabling traders to: Design systematic trading strategies in R and understand why they work. Apply robust statistical and econometric methods to financial data for better predictions. Evaluate risk and performance metrics to refine strategies with confidence. Automate workflows so insights move faster from model to market.Whether you are a retail trader aiming to compete with professionals, a financial analyst seeking sharper models, or a data scientist expanding into trading, this book bridges the gap between theory and practice.Readers will find special value in the prescription-based approach. Just as a doctor prescribes remedies, these scripts deliver targeted solutions to trading challengesfrom portfolio optimization and volatility forecasting to Bayesian inference and machine learning integration.In a marketplace where retail participation continues to grow, Prescriptions for Quant Traders Using R equips you with the knowledge, tools, and confidence to approach trading systematically. The result: deeper insights, stronger discipline, and strategies that stand the test of real-world markets.Whether youre coding your first model or refining a sophisticated strategy, this book provides the prescriptions you need to succeed. Prescriptions for Quant Traders Using R is a practical, hands-on guide for turning data into trading decisions. This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. It delivers step-by-step prescriptions using Rscript-driven tasks that solve real-world trading problems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.