Why use ordered probit regression?

Could you elaborate on why ordered probit regression is preferred in certain situations, particularly in the context of analyzing cryptocurrency and finance data? How does it compare to other regression models, and what unique insights does it offer that make it a valuable tool for practitioners in our field? Are there any specific scenarios or types of data where ordered probit regression is particularly well-suited?