I came across a blog post and a paper describing methods for implementing an ARIMA model as a price forecaster. They both deal with the stock market, which is not exactly the same as FOREX. But given the lack of ARIMA examples involving FOREX, I've decided to take a look at these:
From the blog post it seems that ARIMA doesn't have a very good resolution in it's predictions. The most it seems to be able to predict is a likely dynamic range for the future return rate. The paper shows how an ANN predicts fluctuations more closely. Still: this paper uses a FFNN, whereas the russian paper from one of my earlier posts uses a SRN.
ARIMA seems more limited than the SRN in it's predictive power. Therefor, I have decided to give priority to the SRN approcah using the newelm function from neurolab which I mentioned in an earlier post.
The ARIMA implementation, nevertheless, has inspired me to attempt a new rustic buy-and-hold algorithm. One which takes into account the density of price falls through time, and a likely dynamic range for it. I will be reporting on the results later on.