29 / 2018-03-08 15:41:59
Predication of Futures Market by Using Boosting Algorithm
Boost Algorithm; AdaBoost; Futures Stock Analysis; Technical Indicators; Future Engineering
Final Paper
yunpeng wu / Graduate School at Shenzhen, Tsinghua University
jiamin mao / Graduate School at Shenzhen, Tsinghua University
weifeng li / Graduate School at Shenzhen, Tsinghua University
AdaBoost is a machine learning algorithm based on boosting ideas. AdaBoost is the abbreviation of adaptive boosting, which is an algorithm for weak classifier to assemble as a strong classifier algorithm. There is a lot of data noise in finance market. In order to identify underlying trends in futures market, we propose to use standardized technical indicators to forecast rise or fall and assemble these indicators by AdaBoost algorithm innovatively. We use AdaBoost algorithm to optimize the weight of technical indicators and a good predication result is received. This research shows that these weak classifier can filter data noise in futures market effectively and exhibits that machine learning can get a better analysis result based on the conventional finance engineering analysis methods. This research is meaningful for individual investors.
Important Date
  • Conference Date

    Mar 22

    2018

    to

    Mar 24

    2018

  • Jan 31 2018

    Draft paper submission deadline

  • Feb 15 2018

    Draft Paper Acceptance Notification

  • Feb 20 2018

    Final Paper Deadline

  • Mar 24 2018

    Registration deadline

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