The process adopted by this indicator is as follows:
This indicator uses the Support Vector Machine Learning Library available from the metaquotes market place to achieve support vector machine functionality.
When the custom indicator is first attached to the chart, it populates the chart with historical buy/sell trades that would have been successful. It is these data points that are used to train the support vector machine, then on any bar thereafter the indicator uses the model produced by the trained support vector machine to predict any future trades.
This is a simple indicator used to demonstrate how support vector machines can assist in signalling trades. I recommend you optimize inputs used for the support vector machine to maximise your results. Some examples components you may wish to modify are:
Triangular Moving Average (TMA). The main weight goes for the average part of the price series. In fact, the Moving Average is a double smoothed simple Moving AverageCronex_T_DeMarker_GF
The trend indicator with divergence histogram.