Real time market manipulations modeling

The problem of detecting manipulations in the cryptocurrency market is studied. A new web application is proposed for modeling the effect of manipulation in a laboratory experiment involving real players. The application allows us, depending on the input parameters, to simulate various manipulation configurations. Unlike real unsupervised data, supervised laboratory data allows a more accurate assessment of the quality of anomaly search models.