An Asymptotic Statistical Learning Algorithm for Prediction of Key Trading Events

In financial trading, trading at key time points (i.e., the best times for buying or selling in specific contexts) is one of the most effective trading methods. Since key points are random and sparse, their randomness needs to be investigated to predict key points reliably. Based on measure theory, we propose an event mapping model to formally define this randomness and express it in a low dimensi...