Developer Releases Open-Source Simulator for Theory of Asymmetric Flow Algorithm

A developer known as Jaypsmall has published an open-source research repository called 'La Pekillada' on GitHub, described as the first reference implementation of the Asymmetric Flow and Geometric Absorption Algorithm. The project is built around the Theory of Asymmetric Flow, a theoretical framework that examines how exposure is dynamically redistributed across multiple independent variables in a multi-variable system. The algorithm operates with three simultaneous variables, where the winning variable resets to a minimum exposure unit while losing variables double progressively, creating geometric growth in resource consumption. The repository functions as a mathematical laboratory, supporting experiments ranging from 100 to 100,000 simulation rounds and Monte Carlo analysis to measure metrics such as drawdown, recovery periods, and risk of capital exhaustion. The project makes no claims of guaranteed profitability and is intended purely for studying system behavior under varying statistical conditions.