Abstract:
This thesis is recent alternative method of forecasting future market movements with analyzing daily movement patterns of old prices throughout decades. Firstly, past techniques of forecasting will be discussed such as EMH, AMH and Moving Average. Later on recently used N-tuple pattern prediction model will be explained and applied to actual data.
Lastly, thesis will include application of other models different from N-tuple, including Decision Tree and Contrasting Approach in order to compare the effectiveness of the model.