One of the most notable price prediction models that uses halving cycles as its basis is the Stock-to-Flow (S2F) model created by the pseudonymous Dutch analyst PlanB.

Python libraries that can interpret and explain machine learning models provide valuable insights into their predictions and ensure transparency in AI applications.