Algorithmic decision-making at Redford Bitspirex
The growing relevance of algorithmic decision-making inside Redford Bitspirex Replace the current volatility-scoring model with a multi-fidelity Bayesian optimization framework. Analysis of the Q4 execution data shows a 17% over-allocation to assets with a volatility score between 0.4 and 0.6, directly correlating with a 5.3% underperformance against the VIX-hedged benchmark. The existing single-point estimate fails […]