Evaluación de Bots de Trading Algorítmico bajo el Estándar ISO/IEC 29119: Un enfoque Estratégico

Abstract

This research evaluates algorithmic trading bots using the ISO/IEC 29119 standard to validate the functionality, efficiency, and reliability of the previously selected bots: dark Venus MT5, Range Breakout EA, and PZ MA Crossover EA MT5. Through simulations in a controlled environment of Meta Trader 5, tests were carried out on its ability to execute automated operations on the EUR/USD currency pair under different market conditions, including volatility, lateralized markets, and range breaks. The results obtained show that each bot has advantages and limitations according to market characteristics, with notable differences in the accuracy of input signals and the adaptability to market movements. Areas for improvement were also identified in terms of parameter optimization and risk control, highlighting the importance of a standardized test approach to ensure performance in real conditions. Finally, the study concludes that continuous optimization, implementation of risk controls, and evaluation of real environments are essential to improve the effectiveness and reliability of algorithmic trading bots.