One of the most interesting facets of using NN's or true statistical analysis is that when one looks at the least significant element, (the tick) and the range, (or actually lack of adequate range between one tick and the next), there is truly not enough range variation to make even a pittance of a reliable projection in terms of germane statistical analysis long term or short term for that matter.
That doesn't mean you can't obtain range from subgrouping the data into various bars, either minute, tick, volume type bars, etc.
The problem is that the numerical functions that feed the remaining parameters still need to come from random variation found in the least significant element, initially sampled at 100% of a lot size, which individual ticks cannot provide adequately.
From a programming standpoint, creating an input engine and NN that a trader can feed multiple data into, we only need to know the mathematical NN model one cares to use, or even various models to opt calling on. The assumption would be that a trader would care to take the result and plan to enter / exit at the two ends of the extremes, less however much unreliability the NN is proving to have in the recent history.
I simply have not as yet, seen a true NN that is both recursive and "moving" which will stay in tune with the market and remain forecasting reliably, because temperament changes both short and long term, affecting the reliability of how long a period the NN will need to be fed, versus how far into the future it's reliable.
Without being able to verify the percent of error that's occurring at any given time, the end result is still a discretionary exit based upon emotion or a fixed set of P/L/R analysis and you don't need an NN if you can do Profit/Loss/Risk.
Accordingly, one's NN will always under-perform the true market at some unknown value and the trader's decision based on the NN, will under-perform the NN itself, so in the end, I'd personally rather stick to conventional methods that have both a simpler and more historically reliable "sense" of security about them.
While I've seen a number of NN's hit the market dead on well enough to create a great marketing demonstration and video-bite, I have yet to see a well documented instance of long term performance guaranteed from historical significance. ;-)
