To: Jay Hartzok who wrote (258 ) 10/17/1998 12:15:00 PM From: Optim Read Replies (1) | Respond to of 805
Jay, I will try to get a screen capture of the results up today. I have tried it on a few other stocks this morning with poor results also. I am finding that this approach is very dependant on the way the issue trades. Try NN for example. It is a nice volatile issue which seems to work well, and I feed in the Nasdaq Composite, it's sector index, and the usual l/t, price and volume. Unfortunately I use the Canadian equivalent of NN (NNC on the TSE). But you should be able to get similar results. After experimenting a bit more (been up since 6:30) I am noticing that this simply works or it doesn't. By training a net on my fastest machine (a 450 Mhz) I find that within 5 minutes of BP training I know if it is a good net. The verification period will be dead on, as in the case of NN and a few others I have tried. The reason I like this is because I am now in the process of trying the TSE 35 Index stocks, and then I will move up to the TSE 100, 300, etc. I can go through the issues at a rapid pace. It is actually quite neat to watch the nets learn as the scatter graph converges to the diagonal line. By watching only the verification period, I can find inputs that are predictive. I simply add or subtract an input and start the training agan. If the graph converges well, then the inputs I am using have a predictive value. I have also found that 1 year might be a little short for some issues. I have started to experiment with this also, and am finding a sweet spot of 1 1/2 to 2 years on *most* issues. I think I might have lucked out on the first few. Again, I am still expeirmenting with this, so if someone has a tried and true method, stick with that. Also, try to use TA as a complement to the nets predications. Nothing in life is 100%. Optim