Algorithmic Trading and Quantitative Strategies

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Algorithmic Trading and Quantitative Strategies
Περιγραφή: Algorithmic Trading and Quantitative Strategies provides an in-depth overview of this growing field with a unique mix of quantitative rigor and practitioner's hands-on experience. The focus on empirical modeling and practical know-how makes this book a valuable resource for students and professionals.The book starts with the often overlooked context of why and how we trade via a detailed introduction to market structure and quantitative microstructure models. The authors then present the necessary quantitative toolbox including more advanced machine learning models needed to successfully operate in the field. They next discuss the subject of quantitative trading, alpha generation, active portfolio management and more recent topics like news and sentiment analytics. The last main topic of execution algorithms is covered in detail with emphasis on the state of the field and critical topics including the elusive concept of market impact. The book concludes with a discussion on the technology infrastructure necessary to implement algorithmic strategies in large-scale production settings.A git-hub repository includes data-sets and explanatory/exercise Jupyter notebooks. The exercises involve adding the correct code to solve the particular analysis/problem.
Συγγραφείς: Raja Velu, Maxence Hardy, Daniel Nehren
Resource Type: eBook.
Θέματα: Finance--Mathematical models--Computer programs, Finance--Data processing, Investment analysis, Electronic trading of securities
Categories: BUSINESS & ECONOMICS / Investments & Securities / Analysis & Trading Strategies, BUSINESS & ECONOMICS / Investments & Securities / Portfolio Management, COMPUTERS / Data Science / Machine Learning
Βάση Δεδομένων: eBook Index
FullText Text:
  Availability: 0
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DbLabel: eBook Index
An: 2409209
RelevancyScore: 950
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 949.708740234375
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  Data: Algorithmic Trading and Quantitative Strategies provides an in-depth overview of this growing field with a unique mix of quantitative rigor and practitioner's hands-on experience. The focus on empirical modeling and practical know-how makes this book a valuable resource for students and professionals.The book starts with the often overlooked context of why and how we trade via a detailed introduction to market structure and quantitative microstructure models. The authors then present the necessary quantitative toolbox including more advanced machine learning models needed to successfully operate in the field. They next discuss the subject of quantitative trading, alpha generation, active portfolio management and more recent topics like news and sentiment analytics. The last main topic of execution algorithms is covered in detail with emphasis on the state of the field and critical topics including the elusive concept of market impact. The book concludes with a discussion on the technology infrastructure necessary to implement algorithmic strategies in large-scale production settings.A git-hub repository includes data-sets and explanatory/exercise Jupyter notebooks. The exercises involve adding the correct code to solve the particular analysis/problem.
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 332.0285554
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Finance--Mathematical models--Computer programs
        Type: general
      – SubjectFull: Finance--Data processing
        Type: general
      – SubjectFull: Investment analysis
        Type: general
      – SubjectFull: Electronic trading of securities
        Type: general
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      – TitleFull: Algorithmic Trading and Quantitative Strategies
        Type: main
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            NameFull: Raja Velu
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            NameFull: Maxence Hardy
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            NameFull: Daniel Nehren
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            NameFull: Maxence Hardy
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2020
            – D: 08
              M: 12
              Type: profile
              Y: 2020
          Identifiers:
            – Type: isbn-print
              Value: 9780367507015
            – Type: isbn-print
              Value: 9781498737166
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              Value: 9781498737197
            – Type: isbn-electronic
              Value: 9781498737210
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              Value: 9780429183942
          Titles:
            – TitleFull: Algorithmic Trading and Quantitative Strategies
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