Designing XML Reports for Walk-Forward Optimization
Summary
This article develops a reporting toolkit for a continuously shifted walk-forward optimization process. It proposes exporting custom optimization results to XML so that reports can be read by both programs and people. The format separates shared tester settings from per-pass results, including symbol and test dates, robot parameters, and performance coefficients. Examples of reported measures include profit and drawdown, trade counts, daily results, and value-at-risk summaries.
The report-generation library is intended for use from both MQL5 and a C# optimization manager. The article also describes filtering and sorting optimization passes: a single criterion can be sorted directly, while multiple criteria are normalized and combined using weights before ordering. This structure aims to support automated selection and robustness review across successive time windows. It explains the data design and processing approach, but the supplied material does not establish that any particular metric combination selects profitable or robust systems; those choices still require validation.
Key ideas
- A walk-forward manager can automate optimization over overlapping historical and forward periods.
- Custom XML reports can preserve shared tester settings alongside parameters and metrics for each optimization pass.
- Grouping metrics such as value at risk, drawdown, and weekday results makes reports easier to filter and inspect.
- Multi-criterion ranking can normalize metrics and combine them with weights before sorting results.
- The report and ranking process supports evaluation but does not itself demonstrate strategy robustness.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.