How can I implement a machine learning algorithm that predicts short-term volatility spikes, assesses their potential impact on portfolio risk, and uses this information to adjust trading strategies in Fintechee’s SDK?
Implementing a volatility prediction strategy involves training models to forecast volatility spikes, quantifying their effect on portfolio risk.
Creating algorithms that adjust position sizes accordingly.