  Renowned method of log-periodic power law(LPPL) is one of the few ways that a
financial market crash could be predicted. Alongside with LPPL, this paper
propose a novel method of stock market crash using white box model derived from
simple assumptions about the state of rational bubble. By applying this model
to Dow Jones Index and Bitcoin market price data, it is shown that the model
successfully predicts some major crashes of both markets, implying the high
sensitivity and generalization abilities of the model.
