Information Theory Framework

Algorithm

Information Theory Framework, within cryptocurrency and derivatives, represents a systematic approach to quantifying uncertainty and optimizing decision-making under conditions of incomplete information. Its core function involves modeling market processes as stochastic systems, enabling the calculation of expected values and risk exposures. Application of this framework necessitates defining appropriate probability distributions and information measures, such as entropy, to assess the informational content of market signals and price movements. Consequently, traders and analysts leverage these insights to construct robust trading strategies and manage portfolio risk effectively.