Building a Multi-Timeframe Smart Money Concepts Engine in MQL4 (Months of Work, Thousands of Zones)

Kais Bhir — Wed, 27 May 2026 23:26:51 +0000

Building a Multi-Timeframe Market Structure Engine in MQL4

Over the past few months, I’ve been building a large-scale Smart Money Concepts (SMC) research engine in MQL4 focused on detecting and tracking market structure across multiple timeframes.

The project evolved from simple Fair Value Gap (FVG) detection into a complete visualization and backtesting system capable of handling:

Fair Value Gaps (FVGs)
Swing Highs / Swing Lows
Swing Breaks
Multi-timeframe confluence
Bullish/Bearish zones
“Golden Zones” (H4 zones merged with D1 structure)

One of the biggest challenges was engineering a proper zone lifecycle system inside MetaTrader 4:

zone creation
extension
mitigation
truncation
invalidation
object cleanup

The goal was not simply generating buy/sell signals, but building a framework capable of analyzing which structural patterns remain statistically consistent across thousands of historical market scenarios.

The project is now evolving toward:

large-scale backtesting
CSV-based analytics pipelines
Python/vectorBT integration
AI-assisted market pattern research

Stack

MQL4, Python, Pandas, Plotly, Dash, MetaTrader 4

DEV Community: Kais Bhir

Building a Multi-Timeframe Smart Money Concepts Engine in MQL4 (Months of Work, Thousands of Zones)

Building a Multi-Timeframe Market Structure Engine in MQL4

Stack