Mining the Time Series for Financial Gain
Rajesh Kumar · International Journal of Computer Applications · 2014
Control charts are widely used in finding the process out of control.In the context of financial time series ,change points occurrence is dependent on the sentiments of the traders, hence identification of change point in the financial time series is generally subjective.In this information age, emphasis is on the algorithmic trading where machine has to take trading decisions.In this paper a model is proposed which will take in to the consideration the sentiments of traders, hence volume weighted moving average of ten days is used in identification of sell or purchase signal.Results of the model has been taken in the consideration of worst case, only the closing prices of the month is recorded and trading decision is taken on the restricted data.