Building Market Histograms with MQL5 Chart Object Properties
Summary
This article explains how to build frequency histograms of market data in MQL5 without indicator buffers, arrays, or structures. It uses graphical objects as both display elements and storage: object names encode sampled prices, while text properties hold their frequencies. Repeated prices update an existing object, and its coordinates determine the displayed bar length. The examples cover Bid and Ask distributions and extend the approach to indicator values, weighted means, and standard deviation displays.
The method is illustrated through code and chart examples, including shifting histogram objects as new bars arrive. The article presents object properties as a way to avoid manually sorting and searching a separate data structure. Its focus is implementation and visualization rather than interpreting distributions or evaluating trading performance. The approach also depends on chart objects being available and correctly managed; the document does not provide a comparative benchmark or evidence that these histograms improve trading results.
Key ideas
- Chart object properties can store histogram sample values and their frequencies.
- Object names can encode prices so repeated observations update the matching histogram column.
- Object coordinates and dimensions can represent frequency visually on the chart.
- The examples extend the technique to Bid, Ask, ATR, MACD, weighted means, and standard deviations.
- The article focuses on construction and display rather than interpreting distributions or testing trading value.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.