Quote from slacker:
At the end of the day you will have results that are only backfitted to the data series.
There is nothing in Amp, phase or frequency that will help you trade the next bar. Any research to the contrary would be great news however... Have you had success applying signal processing techniques to market data so that you can trade the signals?
Thank you.
I'm new to algorithmic trading and am testing out several ideas at the moment using my homebrew c++ client to IB's api. I haven't tried any of these signal processing / time series analysis methods yet but will get to them soon.
I always hear about this "past is no indication of future", but I do think there has to be some correlation between the immediate past and the immediate future of the stock which fades away the further you get from your training period. Otherwise, why is it that our eyes can recognize certain features of an intraday timeseries of a stock that persists for more than a day? I think the autocorrelation time itself also varies as a function of time, and there might be certain recognizable indicators that are correlated to the appearance of an especially strong or longer autocorrelation time during which you might have a greater success rate in applying predictive algorithms...
