A Multi-Agent DDQN Strategic Audit Engine for Silver Markets using Keras/Tensorflow (opens in new tab)

1. Introduction & Theoretical Framework In modern electronic trading markets, algorithmic execution engines drive the vast majority of institutional order flows. Evaluating whether these independent, learning-driven trading algorithms behave competitively or tacitly coordinate has become a critical challenge for quantitative compliance, market microstructure design, and risk management. This technical article implements an automated Strategic Audit […]