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
终稿
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.
重要日期
  • 会议日期

    03月22日

    2018

    03月24日

    2018

  • 01月31日 2018

    初稿截稿日期

  • 02月15日 2018

    初稿录用通知日期

  • 02月20日 2018

    终稿截稿日期

  • 03月24日 2018

    注册截止日期

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