4.3 KiB
Windowed MA Professional
1. Summary (Introduction)
The Windowed MA Pro is an indicator based on John Ehlers' research into advanced Finite Impulse Response (FIR) filters. It serves as a superior alternative to the Simple Moving Average (SMA) by employing "windowing" functions to create a smoother, more responsive output.
A standard SMA uses a "rectangular window," giving equal weight to all prices in the lookback period, which results in poor filtering characteristics. This indicator allows the user to apply mathematically superior weighting schemes:
- Triangular Window: A simple weighting that gives the most emphasis to the middle of the lookback period.
- Hann Window: A more advanced, cosine-based weighting function that provides excellent smoothing and is Ehlers' recommended choice for most trading applications.
The result is a high-fidelity moving average that produces a cleaner representation of the trend with less noise than a standard SMA.
2. Mathematical Foundations and Calculation Logic
The indicator is a weighted moving average, where the weights are determined by the selected windowing function.
Calculation Steps (Algorithm)
For each bar, the indicator looks back over the last N periods.
- Calculate Weights: For each position
jwithin theN-period window, a specific weight is calculated based on the chosenWindow Type.- SMA:
Weight = 1 - Triangular: The weight increases linearly to the midpoint of the window and then decreases.
- Hann: The weight is calculated using a cosine formula, creating a smooth, bell-shaped curve:
W_j = 0.5 \times (1 - \cos(\frac{2\pi \times j}{N-1}))
- SMA:
- Calculate Weighted Sum: The source price at each position is multiplied by its corresponding weight and summed up.
- Normalize: The final indicator value is the weighted sum divided by the sum of all weights.
3. MQL5 Implementation Details
- Unified Calculator (
Windowed_MA_Calculator.mqh): The calculation for all window types is handled by a single, flexible calculator class. The user's choice determines which weighting formula is used inside the calculation loop. - Heikin Ashi Integration: The indicator fully supports calculation on smoothed Heikin Ashi data.
- FIR-based Logic: This is a non-recursive (FIR) filter. Its calculation at any given bar depends only on the last
Nprices. - Stability via Full Recalculation: The indicator employs a full recalculation on every
OnCalculatecall.
4. Parameters
- Window Type (
InpWindowType): Allows the user to select the weighting function:SMA,Triangular, orHann.Hannis recommended for the best smoothing. - Period (
InpPeriod): The lookback period (N) for the moving average. - Applied Price (
InpSourcePrice): The source price for the calculation (e.g., Close, Open, etc.). - Candle Source (
InpCandleSource): Selects betweenStandardandHeikin Ashicandles.
5. Usage and Interpretation
The Windowed MA should be used as a high-quality replacement for a standard Simple Moving Average.
- Trend Identification: Use it to identify the direction of the trend. Price trading above the line indicates an uptrend; price below indicates a downtrend.
- Dynamic Support and Resistance: The line acts as a dynamic S/R level. Due to its superior smoothing, it often provides more reliable support/resistance than a standard SMA.
- Crossover Systems: A two-line crossover system using a fast and a slow Windowed MA (especially with the Hann window) will produce smoother and potentially cleaner signals than a standard SMA crossover system.
Combined Strategy with Windowed Momentum (Advanced)
The true power of the Ehlers windowing concept is revealed when using the Windowed_MA_Pro and Windowed_Momentum_Pro indicators together. A key relationship exists between them:
- The Momentum Oscillator's zero-cross predicts the Moving Average's turning point.
- When the
Windowed_Momentumoscillator crosses above its zero line, it signals that theWindowed_MAis forming a trough (a bottom). - When the
Windowed_Momentumoscillator crosses below its zero line, it signals that theWindowed_MAis forming a peak (a top).
- When the
This relationship can be used to anticipate changes in the short-term trend defined by the moving average, providing a powerful leading signal.