Dynamic Per-Trade Risk Adjustments Based on Account Balance

Summary

This article describes completing an MQL5 risk-management class, with emphasis on adjusting per-trade risk as account balance moves through configured thresholds. It gives an example in which risk is reduced at progressively deeper drawdown levels, and explains how the initial balance may be fixed by the user or read from a personal account at initialization. The intended effect is to limit exposure during losing periods, with slower recovery as the tradeoff.

The implementation discussion covers checking risk thresholds on every tick or only when a position closes, and highlights the accuracy versus processing-load tradeoff. It also explains why thresholds must be ordered for a loop-free state update, and notes that separately sorting threshold and risk arrays can break their pairing; a key-value mapping is suggested as a more reliable approach. The article is a programming walkthrough, not empirical evidence that dynamic risk improves returns, and the supplied text does not fully show every implementation detail.

Key ideas

• Dynamic per-trade risk reduces the assigned risk percentage when balance crosses configured loss thresholds.
• The initial balance can be a user-entered fixed value or the account balance captured at initialization.
• Checking on every tick is more responsive but can cause frequent threshold toggling near a boundary.
• Checking only after a position closes uses fewer resources but may react later to account changes.
• Threshold ordering and preservation of each threshold's associated risk value are essential to correct state transitions.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.