Trend March 04, 2026

Weighted Moving Average (WMA)

The Weighted Moving Average (WMA) is a trend-following indicator giving more weight to recent prices.

Full Description

What is the Weighted Moving Average?

The Weighted Moving Average (WMA) is a type of moving average that assigns different weights to each data point, with more recent prices receiving a higher weighting. This makes the WMA more responsive to new price changes than a Simple Moving Average (SMA). It's a trend-following indicator used to smooth out price data and identify the direction of the trend. Traders use it to confirm or predict trends, and it's often combined with other technical indicators.

How it Works

Unlike the SMA, which gives equal weight to all prices within the specified period, the WMA applies a linear weighting factor. The most recent price receives the highest weight, and the weight decreases linearly for older prices. This is calculated by multiplying each price by a weight, summing the results, and then dividing by the sum of the weights. This emphasizes recent price action.

Trading Signals

A bullish signal is generated when the price crosses *above* the WMA, suggesting an upward trend. Conversely, a bearish signal occurs when the price crosses *below* the WMA, indicating a potential downward trend. Crossovers of different WMA periods (e.g., a short-period WMA crossing a long-period WMA) can also provide strong signals. Look for confirmation with volume.

Basic Settings

The primary setting for the WMA is the 'Length' or 'Period', which determines the number of periods used in the calculation. Shorter periods (e.g., 10-20) are more sensitive to price changes, while longer periods (e.g., 50-200) provide a smoother, more stable indication of the trend. Experiment with different lengths to find what works best for your trading style. This is for educational purposes only, not financial advice.

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This material is for educational purposes only. Indicator descriptions do not constitute investment advice. Always conduct your own analysis before making trading decisions.

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