How can I build a machine learning-powered strategy that adapts to market sentiment and news sentiment simultaneously, using Fintechee's SDK?

How can I build a machine learning-powered strategy that adapts to market sentiment and news sentiment simultaneously, using Fintechee’s SDK?

Building a dual-sentiment strategy involves merging sentiment signals from market data and news data.

Training machine learning models to understand their interactions, and creating trading rules that leverage both sources.