Why choose probit regression?

Could you elaborate on the reasons why one might opt for probit regression as a statistical model, particularly in the context of analyzing cryptocurrency and financial data? Are there specific advantages it offers over other regression models, such as linear or logistic regression, when it comes to capturing the complexities and nuances inherent in such data? How does it help in identifying relationships and patterns that might not be immediately apparent with other methods?