How can I implement a machine learning-powered strategy that detects regime shifts between trending and mean-reverting market conditions and adjusts trading strategies accordingly in Fintechee's SDK?

How can I implement a machine learning-powered strategy that detects regime shifts between trending and mean-reverting market conditions and adjusts trading strategies accordingly in Fintechee’s SDK?

Developing a machine learning regime detection strategy involves training models to classify market states, creating strategies for each state.

Building algorithms that switch between strategies based on detected regimes.