Building an MQL5 Strategy Tracker for Crossover Signals and Trade Outcomes
Summary
The article explains how to build an MQL5 Expert Advisor that monitors a simple moving average crossover strategy, with a long-term moving average filter to qualify buy and sell signals. Users can choose visual-only tracking or live orders, select among three take-profit targets, and configure a stop loss. The underlying signal rule is presented as an example that can be replaced with another strategy.
The tracker records trade levels and outcomes, marks entries and exits on the chart, and displays counts and performance measures such as wins, losses, profit points, and success rate. The article describes configurable inputs and implementation components, then says the system was compiled and shows a tester visualization. It does not provide quantitative test results or a detailed performance evaluation. Its metrics are intended to support monitoring and refinement; the article does not establish that the crossover strategy is profitable or suitable for live trading.
Key ideas
- A fast and slow moving average crossover supplies example trade signals, filtered by a longer-term moving average.
- The tracker can simulate positions visually or place live trades, with configurable take-profit and stop-loss levels.
- Chart markers and a dashboard expose signal outcomes and summary performance statistics.
- The article reports a compiled visualization but does not give quantitative evidence that the strategy is profitable.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.