Validating Swing Structure with Breakouts, Displacement, and Liquidity

Summary

This article outlines an MQL5 trading framework that filters raw swing highs and lows before treating them as meaningful market structure. Candidate swings are validated when they show a momentum-based break of structure, a strong displacement move, a liquidity sweep, or persistence over time. A separate layer tracks potential liquidity pools, such as equal highs and lows or untouched swing points, while a state machine classifies market behavior as accumulation, expansion, distribution, or reversal.

Trade entries are intended to combine a validated structural signal with a compatible market state and liquidity interaction. Stops are placed around validated structure, and profit targets use a risk-to-reward rule or nearby liquidity and structure levels. The article describes parameters and system architecture, but its backtest results section is blank in the supplied text. It gives no evidence that the proposed signals are profitable, and the institutional-order interpretation of liquidity zones is presented as part of the framework rather than verified market data.

Key ideas

• Raw swing highs and lows are treated as candidates until they meet a validation condition.
• Breaks of structure, displacement, liquidity sweeps, and time-based respect can validate a swing.
• Liquidity zones and a market-state machine add context to structural signals.
• Entries require alignment between the signal and market phase, while stops reference validated structure.
• The supplied article gives no backtest results to establish performance.

Tags

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