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Making Use of the Big Data: Next Generation of Algorithm Trading

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNAI,volume 7530)

Abstract

Algorithm trading is using computer programs to automate trading actions without much human intervention. Algorithm trading has been adopted by institutional investors and individual investors and made profit in practice. The soul of algorithm trading is the trading strategies, which are built upon technical analysis rules, statistical methods, and machine learning techniques. Big data era is coming, although making use of the big data in algorithm trading is a challenging task, when the treasures buried in the data is dug out and used, there is a huge potential that one can take the lead and make a great profit.

Keywords

  • Algorithm Trading
  • Technical Analysis
  • Statistical Methods
  • Machine Learning
  • Big Data

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© 2012 Springer-Verlag Berlin Heidelberg

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Qin, X. (2012). Making Use of the Big Data: Next Generation of Algorithm Trading. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Artificial Intelligence and Computational Intelligence. AICI 2012. Lecture Notes in Computer Science(), vol 7530. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33478-8_5

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  • DOI: https://doi.org/10.1007/978-3-642-33478-8_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33477-1

  • Online ISBN: 978-3-642-33478-8

  • eBook Packages: Computer ScienceComputer Science (R0)