Visualizing Sorting Algorithms and Their Tradeoffs in MQL5

Summary

This article uses MQL5 graphics to animate sorting algorithms as they rearrange a histogram of values. Colored columns mark comparisons, swaps, pivots, and partition boundaries, while configurable delays make each operation visible. The implementation uses shared drawing and comparison helpers, then connects them to sorting routines so readers can observe how the algorithms progress.

The discussion covers selection, insertion, bubble and related variants, quicksort, merge sort, heapsort, radix sorting, and other methods. It describes core ideas such as inserting each item into an ordered prefix, repeatedly swapping neighboring values, and dividing arrays around pivots. The demonstrations are educational visualizations rather than benchmark evidence: the article provides no systematic timing results that establish performance across input sizes or data distributions. Its subject is general algorithm implementation, with no direct trading strategy or market analysis.

Key ideas

• The visualization highlights array elements involved in comparisons, swaps, and partition boundaries.
• Selection sort repeatedly finds a minimum in the unsorted region and moves it into place.
• Insertion sort places each new item into its proper position within the already ordered prefix.
• Bubble sort moves large values toward the end through repeated comparisons of neighboring elements.
• Quick sort partitions values around a pivot and recursively processes the resulting segments.
• The visual examples explain algorithm behavior but do not provide systematic performance benchmarks.

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