Association Mining on Stock Index Indicators

The stock index indicators, e.g., Relative Strength Index (RSI), Price Rate of Change (PROC), Moving Average Convergence/Divergence (MACD), Stochastic Oscillator (STH), or Chaikin Oscillator (CHK) are often used as the main factor in trading. Stock traders make a decision to trade by using these indicators. This paper applies the association technique to find the hidden relationship among those stock indicators and the volume which affects the market price. The transactional data are captured from Thai stock market in the period from 9 April 2013 to 16 April 2014. The association results show that the set of indicators and volume affects the price change. When the indicators are changed substantially, the price will change significantly.

[1]  Jiang Hong-bo,et al.  Application Research on Fast Discovery of Association Rules Based on Air Transportation , 2007, 2007 International Conference on Service Systems and Service Management.

[2]  Tomasz Imielinski,et al.  Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.

[3]  Anantaporn Srisawat An application of association rule mining based on stock market , 2011, The 3rd International Conference on Data Mining and Intelligent Information Technology Applications.

[4]  So Young Sohn,et al.  Forecasting changes in Korea Composite Stock Price Index (KOSPI) using association rules , 2011, Expert Syst. Appl..

[5]  Huiqun Zhao,et al.  Study of Association Rule Mining on Technical Action of Ball Games , 2010, 2010 International Conference on Measuring Technology and Mechatronics Automation.