MQL5 Programs Market

In this article, I will try to show you, dear reader, that things are not always what they seem. We often tend to think that everything is arranged in a certain way, even though we may end up believing something that isn't necessarily true. Neural networks are undoubtedly one of the most interesting topics, whether viewed from the perspectives of mathematics, electronics, or software. Contrary to what many people believe or claim, neural networks are neither a problem nor a definitive solution. This is just one area of research where we should continue to delve deeper and explore what goes on behind the scenes.

This part finishes the geometry layer: arcs use a sagitta‑based angular step tied to the pixel tolerance, so segment counts are computed, not guessed. The path gains ArcTo, AddCircle, AddEllipse and AddRoundRect with per‑corner radii, enabling common UI shapes such as tabs, pills, badges, rings, gauges and donut wedges.

This article models position exits as an American option and implements the Longstaff–Schwartz least‑squares Monte Carlo in native MQL5. The engine calibrates drift and volatility from recent returns, simulates forward price paths, and uses backward induction to compare immediate exercise to continuation. It integrates into an EA with hard time and price backstops and a live indicator, and is tested on four symbol/timeframe combinations with mixed, reproducible Strategy Tester results.

Prop-firm accounts operate under a second rulebook that MetaTrader 5 does not model. This first part builds the observation layer: a per-pass frozen account snapshot read by every rule, a verdict record that reports without acting, explicit enable flags in the profile, and a session clock aligned to the firm's reset time. The result is a reproducible pass that prevents cascading effects and prepares the ground for safe decisions in Part 2.