Exporting Trading Data to CSV for Three-Variable Surface Analysis

Summary

The article presents a simple MQL4 workflow for examining relationships among three variables by exporting a grid of values to a semicolon-delimited CSV file and viewing it as a 3D surface chart in Excel. Two arrays hold the values of the independent variables, while a two-dimensional array stores the corresponding third variable, such as profit. A sample script fills these arrays with values and demonstrates the format using a sine function.

A library function writes the grid and its axis values to the file, and a helper changes decimal points to commas to accommodate the author’s Excel locale. Suggested trading applications include examining profit across take-profit and stop-loss settings, or volumes by weekday and hour. The article demonstrates data preparation and visualization rather than a trading strategy or empirical finding. Its conclusions depend on the chosen grid, input data, and chart interpretation; a plotted surface alone does not establish a reliable relationship or profitable parameter choice.

Key ideas

• A three-variable surface can show how an output changes across two input variables.
• The example stores axis values in two arrays and the measured output in a two-dimensional array.
• The MQL4 library exports the grid to a CSV file that Excel can display as a surface chart.
• The demonstration uses a sine function, while proposed trading uses include profit across stop and target settings.
• Visualization can reveal patterns, but the chart alone does not validate a trading edge.

Tags

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