This could be a good candidate for machine learning, i.e. pattern recognition. You have a large data set you can use for training and testing and you have a well defined output you're looking for (high/low first). As an added bonus you could add in other data points like volume, index sentiment, etc. to see if that improves results. Implementing this is not necessarily easy but it could be something worth looking into.
