A frame work will be created to allow any asset price timeseries data to be stored and analysed to dicover emerging trends. The analysis will be performed using a neural network trained on a large number of timeseries. The network will be trained to clasify timeseries at turning points of trends of at a certain time frame. The framework will include automated time series trend analysis in addition to allowing manual points of interest to be added to the training data. An assessment of the accuracy of the clasifier will be performed.