All about MQL5 Wizard : create robots without programming. - page 12

[Sergey Golubev]

MQL5 Wizard Techniques you should know (Part 87): Volatility-Scaled Money Management with Monotonic Queue in MQL5

This article proposes a practical, deployable remedy: a zero-lag money-management pipeline that (1) computes Donchian-style range extremes in O(N) using a Monotonic Queue (deque) to eliminate sliding-window latency, and (2) applies a lightweight Radial Basis Function (RBF) gatekeeper to nonlinearly validate signal quality before finalizing lots. The deliverable is a ready‑to‑integrate MQL5 module (CMoneyMonotonicQueueRBF::Optimize) with tunable inputs (window size, m base volatility, use rbf) that (a) produces an instantaneous current volatility, (b) computes scale factor = base volatility / current_volatility, (c) normalizes lots to broker step/min/max, and (d) — optionally — multiplies by an RBF output in [0,1]. The approach targets EA developers who require preventive, real‑time risk scaling and a reproducible test protocol for Strategy Tester comparisons.