Mohamed El Far

Enhancing Decision-Making in Digital Asset Markets Through Hybrid Machine Learning and Deterministic Optimization

The paper presents a new hybrid approach (LSTM-RF-SLSQP) that acts as an advanced decision-support tool for institutional crypto portfolio management. The methodology includes the use of LSTM neural networks to detect non-linear temporal patterns and RF algorithms to detect structural market noise. The ability to predi...