Hello,
I just wrote up some notes about my efforts to use Data Mining-SVM to
pick optimal times for an ETF trader to act in the market.
http://bikle.com/protected/mix_oracle_ruby_etf
The only attributes I fed to SVM were slopes of moving averages of ETF
prices.
Result: SVM did not find slopes of moving averages of ETF prices to be
very predictive.
What I might study next are the relationships between Asian markets
and US markets.
This is based on my inspection of this google search:
http://www.google.com/search?q=nikkei+225+index+s+and+p+500+svm
It boils down to this, "What's the dog and what's the tail?"
It seems plausible that the trend of the Nikkei might be somewhat
correlated with the trend of the S and P 500. Perhaps the same is
true for the dollar value of the Yen.
Comments anyone?
--Dan