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Language: English
Published by Packt Publishing Limited, GB, 2019
ISBN 10: 1789346460 ISBN 13: 9781789346466
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. Take your financial skills to the next level by mastering cutting-edge mathematical and statistical financial applicationsKey FeaturesExplore advanced financial models used by the industry and ways of solving them using PythonBuild state-of-the-art infrastructure for modeling, visualization, trading, and moreEmpower your financial applications by applying machine learning and deep learningBook DescriptionThe second edition of Mastering Python for Finance will guide you through carrying out complex financial calculations practiced in the industry of finance by using next-generation methodologies. You will master the Python ecosystem by leveraging publicly available tools to successfully perform research studies and modeling, and learn to manage risks with the help of advanced examples.You will start by setting up your Jupyter notebook to implement the tasks throughout the book. You will learn to make efficient and powerful data-driven financial decisions using popular libraries such as TensorFlow, Keras, Numpy, SciPy, and scikit-learn. You will also learn how to build financial applications by mastering concepts such as stocks, options, interest rates and their derivatives, and risk analytics using computational methods. With these foundations, you will learn to apply statistical analysis to time series data, and understand how time series data is useful for implementing an event-driven backtesting system and for working with high-frequency data in building an algorithmic trading platform. Finally, you will explore machine learning and deep learning techniques that are applied in finance.By the end of this book, you will be able to apply Python to different paradigms in the financial industry and perform efficient data analysis.What you will learnSolve linear and nonlinear models representing various financial problemsPerform principal component analysis on the DOW index and its componentsAnalyze, predict, and forecast stationary and non-stationary time series processesCreate an event-driven backtesting tool and measure your strategiesBuild a high-frequency algorithmic trading platform with PythonReplicate the CBOT VIX index with SPX options for studying VIX-based strategiesPerform regression-based and classification-based machine learning tasks for predictionUse TensorFlow and Keras in deep learning neural network architectureWho this book is forIf you are a financial or data analyst or a software developer in the financial industry who is interested in using advanced Python techniques for quantitative methods in finance, this is the book you need! You will also find this book useful if you want to extend the functionalities of your existing financial applications by using smart machine learning techniques. Prior experience in Python is required.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 36.20
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Seller: Chiron Media, Wallingford, United Kingdom
£ 37.54
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Language: English
Published by Packt Publishing Limited, GB, 2023
ISBN 10: 1784394513 ISBN 13: 9781784394516
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Published by Packt Publishing 2015-04-29, 2015
ISBN 10: 1784394513 ISBN 13: 9781784394516
Seller: Chiron Media, Wallingford, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: English
Published by Packt Publishing Limited, GB, 2019
ISBN 10: 1789346460 ISBN 13: 9781789346466
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. Take your financial skills to the next level by mastering cutting-edge mathematical and statistical financial applicationsKey FeaturesExplore advanced financial models used by the industry and ways of solving them using PythonBuild state-of-the-art infrastructure for modeling, visualization, trading, and moreEmpower your financial applications by applying machine learning and deep learningBook DescriptionThe second edition of Mastering Python for Finance will guide you through carrying out complex financial calculations practiced in the industry of finance by using next-generation methodologies. You will master the Python ecosystem by leveraging publicly available tools to successfully perform research studies and modeling, and learn to manage risks with the help of advanced examples.You will start by setting up your Jupyter notebook to implement the tasks throughout the book. You will learn to make efficient and powerful data-driven financial decisions using popular libraries such as TensorFlow, Keras, Numpy, SciPy, and scikit-learn. You will also learn how to build financial applications by mastering concepts such as stocks, options, interest rates and their derivatives, and risk analytics using computational methods. With these foundations, you will learn to apply statistical analysis to time series data, and understand how time series data is useful for implementing an event-driven backtesting system and for working with high-frequency data in building an algorithmic trading platform. Finally, you will explore machine learning and deep learning techniques that are applied in finance.By the end of this book, you will be able to apply Python to different paradigms in the financial industry and perform efficient data analysis.What you will learnSolve linear and nonlinear models representing various financial problemsPerform principal component analysis on the DOW index and its componentsAnalyze, predict, and forecast stationary and non-stationary time series processesCreate an event-driven backtesting tool and measure your strategiesBuild a high-frequency algorithmic trading platform with PythonReplicate the CBOT VIX index with SPX options for studying VIX-based strategiesPerform regression-based and classification-based machine learning tasks for predictionUse TensorFlow and Keras in deep learning neural network architectureWho this book is forIf you are a financial or data analyst or a software developer in the financial industry who is interested in using advanced Python techniques for quantitative methods in finance, this is the book you need! You will also find this book useful if you want to extend the functionalities of your existing financial applications by using smart machine learning techniques. Prior experience in Python is required.
Language: English
Published by Packt Publishing Limited, GB, 2023
ISBN 10: 1784394513 ISBN 13: 9781784394516
Seller: Rarewaves.com UK, London, United Kingdom
Digital. Condition: New. 0.
Language: English
Published by Springer Berlin Heidelberg, 2006
ISBN 10: 3540329692 ISBN 13: 9783540329695
Seller: moluna, Greven, Germany
Condition: New. This book constitutes the thoroughly refereed post-proceedings of the 9th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2005, held in Coventry, UK, in May 2005. The 65 revised full papers presented were carefully review.
Language: English
Published by Springer Berlin Heidelberg, 2006
ISBN 10: 3540329692 ISBN 13: 9783540329695
Seller: Mispah books, Redhill, SURRE, United Kingdom
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Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Paperback. Pub Date: 2021-04-01 Pages: 296 Publisher: Machinery Industry Press This book introduces how to use a new programming language for financial modeling and realize complex data operations.?The program tools and data taught in the book can be obtained through public channels. Through modeling and research and analysis. you will have a global understanding of the entire Python ecosystem.?A large number of case studies will also deepen your understanding of financial risk control.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.