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Обычная версия сайта
2023/2024

Биржевые стратегии

Статус: Майнор
Когда читается: 1, 2 модуль
Охват аудитории: для всех кампусов НИУ ВШЭ
Язык: английский
Кредиты: 5
Контактные часы: 60

Course Syllabus

Abstract

This course is enhanced by the study of stock trading technology using software. The student should get a reasonable understanding of the possibilities of research and modelling of exchange trading processes in the context of the analysis of their strategic choice as individual subjects. Both in terms of the advantages and advantages of this approach, and the objective limitations inherent in it.
Learning Objectives

Learning Objectives

  • Get a basic knowelage of trading strategies, tech analysis, instruments and trading methods.
Expected Learning Outcomes

Expected Learning Outcomes

  • Students get an idea of the basic concepts of trading, technical analysys, graphical analysis.
Course Contents

Course Contents

  • Trading basics
  • Analysis methods
  • Graphical analysis
  • Technical and statistical methods for analyzing exchange information
  • Trading extanding
Assessment Elements

Assessment Elements

  • non-blocking Trading hometasks
  • non-blocking Trading competition
  • non-blocking Seminar activity
Interim Assessment

Interim Assessment

  • 2023/2024 2nd module
    0.1 * Seminar activity + 0.1 * Seminar activity + 0.2 * Trading competition + 0.6 * Trading hometasks
Bibliography

Bibliography

Recommended Core Bibliography

  • A course in behavioral economics, Angner, E., 2016
  • Chris Conlan. (2016). Automated Trading with R : Quantitative Research and Platform Development. Apress.

Recommended Additional Bibliography

  • Binmore, K. (2007). Game Theory: A Very Short Introduction. Oxford University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.b.oxp.obooks.9780199218462
  • Elliott wave principle : key to market behavior, Frost, A. J., 2002