Quote from dunleggin:
I use a model that spits out the type of 'good' mean-reversion picture that you seek, but from your (understandably) opaque description I'm not sure how well it may apply.
'Fundamental data' ...such as an econometric time series? Periodicity? What does 'short-term' mean in your strategy?
Are you able (willing) to upload a subset of the data, obviously disguising the actual nominal data value, in csv or xls format? I could quite easily run it through the model and graph the output.
Attached is a sample of ~2000 bars of fundamental input, EMA(fundamental input), signal (just over/under vs. EMA) and closing price. My hold period is roughly 5 daily bars and I'm holding a large portfolio of overpriced/underpriced securities, so it's sort of statistical arbitrage where I just need a slight edge that can be replicated across many instruments to get a strong & consistent return. Positive signal = short, negative signal = long. In practice I would only open a position when the signal were strong enough, but this is the theory.
There's a lot of residual risk because you can be right in terms of relative pricing but on the wrong side of a bull/bear run. Hedging and diversification is critical.
But... I can increase my edge substantially if I can distinguish between the instruments that have a strong tendency to quickly revert to their mean from those that have historically stayed "mispriced" for long periods of time.
