How can I implement a machine learning-powered trading strategy that dynamically adjusts its risk exposure based on real-time market sentiment signals and maintains consistent performance using Fintechee’s SDK?
Building a machine learning strategy that adjusts risk exposure involves training models to interpret market sentiment, dynamically calculating position sizes.
Ensuring that the strategy’s risk management adheres to predefined rules.