How can I implement a machine learning algorithm that predicts the likelihood of gaps occurring at the market open and uses this information to optimize trading decisions that take advantage of gap patterns in Fintechee's SDK?

How can I implement a machine learning algorithm that predicts the likelihood of gaps occurring at the market open and uses this information to optimize trading decisions that take advantage of gap patterns in Fintechee’s SDK?

Implementing a gap prediction strategy involves preprocessing historical data.

Training machine learning models to forecast gap occurrences, and integrating these predictions into trading logic.