What is the difference between ordered probit and ordered logit?

Could you please explain the fundamental distinction between ordered probit and ordered logit models? How do they differ in their assumptions, estimation methods, and applications in statistical analysis, particularly in the context of finance and cryptocurrency research? I'm particularly interested in understanding how these models can be Leveraged to analyze and predict market trends or risk factors in the highly volatile cryptocurrency market.