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To: Robert Graham who wrote (5042)1/21/1998 5:06:00 PM
From: JPR  Read Replies (1) | Respond to of 42787
 
Robert:
<<Getting back to this approach to TA that I have recently come across, the name of this approach is called MIDAS. >>
Thank you for bringing this MIDAS module/touch to my attention. I do see the inadequacies of the various types of MA, we use at this moment. The aberrant or gapping, or as you put it, discontinuous price does vitiate the moving averages. Take IBM today as an example. When you have fully digested the material, I would love to read your presentation and reference.

Thanks for your time and effort.
Paul
Paul



To: Robert Graham who wrote (5042)1/21/1998 9:12:00 PM
From: ftth  Respond to of 42787
 
Bob: Ever looked into Order-Statistic Filters or Morphological filters. One example of an OSF is an alpha-trimmed mean filter. Within each data window, the data is rank ordered, and some number of points are symmetrically trimmed from the ends, and the mean of the remaining points serves as the filter value for that window position. With alpha =0, no points are trimmed and you have a pure mean (moving average). When alpha=1, it is a pure median filter. Any alpha value inbetween give a mix of both filter's properties. Median filters have the property of rejecting impulses narrower than the window, while preserving edges. They are a nonlinear filter--data is not smeared or lagged like a MA, which is a low pass filter. I wish I could do this in Metastock without basically having to do the computation in Excel and linking it back. Wish MS supported arrays and pointers.

dh