Discussing the article: "Building a Two-Pole Momentum Oscillator in MQL5"

Check out the new article: Building a Two-Pole Momentum Oscillator in MQL5.

We build a Two‑Pole Momentum Oscillator in MQL5 that measures deviation from a 25‑period SMA, normalizes it by its mean and standard deviation, and smooths the result with two EMA‑style passes. The code defines inputs, buffers, warm‑up and recalculation logic, signal rules, and colorized plots, and derives dynamic targets from the 100‑period average range. It helps detect momentum shifts around the zero line and display price levels tied to recent volatility.

Momentum analysis can help traders observe changes in the strength and direction of price movement, but direct price movement can be difficult to interpret when it is affected by short-term fluctuations. This article demonstrates how to build a Two-Pole Momentum Oscillator in MQL5. It measures price deviation from a moving average, normalizes it using the recent mean and standard deviation, and applies two-stage smoothing to produce the final oscillator.

The indicator provides a smoothed view of normalized price movement and can highlight changes in momentum through its direction and position relative to the zero line. To achieve this, we will calculate the price deviation and its statistical normalization before applying two consecutive smoothing stages. The resulting oscillator will then be used to identify changes in momentum, visualize directional movement with a color-coded line and signals, and determine dynamic signal levels using the average candle range. We will implement these features step by step in MQL5 and explore how each component contributes to the complete indicator.

Before writing the code, it helps to outline the indicator’s calculation flow. In this section, we will review how price deviation, normalization, two-stage smoothing, signal detection, and dynamic control levels fit together, so the MQL5 implementation is easier to follow.

What We Are Building

Author: ALGOYIN LTD