How do I implement a machine learning-powered strategy that generates trading decisions by combining multiple predictive models, aiming to enhance decision accuracy in Fintechee's SDK?

How do I implement a machine learning-powered strategy that generates trading decisions by combining multiple predictive models, aiming to enhance decision accuracy in Fintechee’s SDK?

Implementing a combined machine learning strategy involves training different models, creating ensemble methods that aggregate their predictions.

Using these combined signals to trigger trades.