Discussing the article: "Building a High-Volume Pivot Indicator in MQL5"

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This article presents a high-volume pivot indicator in MQL5 that identifies confirmed pivot highs and lows using surrounding price bars and normalized volume strength. It calculates rolling volume sums, determines a 95th-percentile volume reference, and filters pivot points based on their relative volume. The indicator uses ATR(500) to scale concentric rings around qualifying pivots and draws reaction levels, pivot markers, and formatted volume labels on the chart, helping you study high-volume pivot areas and their interaction with price structure and market volatility.

Traditional pivot indicators focus on price structure but do not always distinguish ordinary pivot points from those formed during unusually high trading activity. This can make it difficult to identify pivot areas that may attract greater market attention. To address this limitation, we will build a high-volume pivot indicator. It combines pivot detection with rolling volume analysis and percentile-based normalization. It also uses ATR to scale concentric rings around detected pivots. The resulting indicator can be used to visualize high-volume pivot areas, observe potential reaction levels, and analyze how significant volume interacts with price structure. We will implement the indicator in MQL5. It calculates rolling volume sums, normalizes volume using a percentile reference, detects pivot highs and lows, and uses ATR-based scaling to create the visual elements on the chart.

Before implementing the indicator in MQL5, it is important to understand its structure and development process. In this section, we will outline the steps for calculating rolling volume sums, normalizing volume using a percentile reference, detecting high-volume pivot highs and lows, scaling concentric rings using ATR, and displaying the resulting reaction levels and volume labels.

Author: ALGOYIN LTD