Building Synthetic 3D Bars from Price, Volume, Time, and Volatility
Summary
The article describes an MQL5 indicator that creates a custom symbol whose bars encode several market dimensions. Its conceptual bar combines price information, volume measures, temporal features, and volatility measures. The indicator calculates these from source-symbol data, initially using M15 history, and can refresh the synthetic series in real time. The resulting chart is intended for visual inspection or use with other indicators and automated systems.
The article outlines the main components: validating inputs and the source symbol, creating the custom symbol, computing and scaling metrics, and updating historical and current bars. It suggests examining volatility periods and unusual volume activity, and discusses possible extensions such as alternate timeframes, cross-asset correlations, and anomaly highlighting.
This is primarily a construction and visualization proposal, not evidence that the bars improve trading results. The article provides no measured predictive performance, and notes that interpreting the display takes experience, historical-data generation can consume resources, and suitability may vary with asset liquidity and parameter choices.
Key ideas
- A synthetic bar can combine price, volume, time, and volatility features in one representation.
- The described indicator builds a custom symbol from source data and updates its bars over time.
- The visualization is proposed for spotting activity changes and anomalies or for use in other trading tools.
- Data volume, asset liquidity, and parameter settings affect the indicator's practicality.
- The article does not establish that the representation predicts prices or improves strategy performance.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.