Summary This essay argues that traditional EA development practices, which often rely on excessively long learning periods, can lead to overfitting and hinder performance in dynamic markets. By focusing on short-term optimization and continuous adaptation, traders can create more robust and profitable EAs. The key is to continuously refine the EA’s parameters based on recent […]

Quantitative Analysis of Dynamic Fibo Scalper: Comparing Returns with Fibonacci Levels and Monte Carlo Simulations In our previous post, we explored the key features, general settings, and functionality of the “Dynamic Fibo Scalper EA,” providing examples of live trades on US30 and Nasdaq. Now, we’ll dive into an in-depth quantitative analysis, sharing the results of […]