From my perspective there are basically to ways to look at information to look at prices.
First is to look at major tendendcies, like any kind of moving average and most of all indicators do. Here the main idea is to get rid of the noise covering the major tendency. In essence it means to reduce information to its essence. I think that is a basic principle of most tools.
But there is a second look one could apply to the markets: ignoring the essence and looking at the outliers. As an example take any kind of volatility bands. now just plot those points, lets say closes of minute bars, outside of the bands and analyze their behaviour. When they happen quickly one after the other, what does that mean. Is there a constant struggle of some people trying to push the market, with others sill refusing, and finally the pushers win? I did some analysis on that but have not found satisfying results so far. I had the feeling that I could even predict gaps by applying this to the last minutes of trading, but it was not statistically significant over a longer period of time.
Now my question: is there already research out there on that kind of subject?
First is to look at major tendendcies, like any kind of moving average and most of all indicators do. Here the main idea is to get rid of the noise covering the major tendency. In essence it means to reduce information to its essence. I think that is a basic principle of most tools.
But there is a second look one could apply to the markets: ignoring the essence and looking at the outliers. As an example take any kind of volatility bands. now just plot those points, lets say closes of minute bars, outside of the bands and analyze their behaviour. When they happen quickly one after the other, what does that mean. Is there a constant struggle of some people trying to push the market, with others sill refusing, and finally the pushers win? I did some analysis on that but have not found satisfying results so far. I had the feeling that I could even predict gaps by applying this to the last minutes of trading, but it was not statistically significant over a longer period of time.
Now my question: is there already research out there on that kind of subject?