June 27th, 2008, 6:38 am
QuoteOriginally posted by: erstwhileActually trend following systems do work over the long term, because markets occasionally get very autocorrelated. Thing is you have to have strategies running on a whole bunch of relatively uncorrelated markets at the same time, because in trend following most trades will lose money, and then one trade will make a ton. So diversification helps make it practical. In trend following, your returns will look like you are long an option plus a bunch of noise (a slightly fat right tail). You get lots of little losses because of your stop loss policy (MA strategies have an automatic one) and the occasional big gain when you actually catch a trend. Mean reversionary strategies look the oppoiste - like you are short an option. You have a fat left tail, so you have to make little profits very often to offset the occasional big loss. These tend to work better on spreads than on normal markets.Regarding optimising backtesting, if you use too complex a system and overfit to history your system will be more likely to fail. You need to explore the parameter space around your optimisation. if the P&L is a sharply peaked function of a parameter, then a small change in mkt statistics will cause your system to fail - you need a different system. If your backtested P&L is a broad function of all your parameters then you may be on to something. You should also take an old time series, optimise, and see how it works in the next time period. If it fails, this tells you something too.No systems work all the time, but trends do sometiems appear, so the philosophy is that you are mostly taking little losses but when you hit a real trend you more than make up for it.Nearly any persistent deviation from zero autocorrelation will allow you to make money through some strategy. But it may be too volatile a P&L, or the gains too few and far between to make it a viable hedge fund strategy.Good post.