How does the WMA compare to the Volume Weighted Moving Average (VWMA)?

The Weighted Moving Average (WMA) emphasizes recent prices for faster trend signals, while the Volume Weighted Moving Average (VWMA) incorporates trading volume to validate price moves, making it more reliable in high-volume markets like cryptocurrencies.

Aug 05, 2025 at 07:50 am

Understanding the Weighted Moving Average (WMA)

The Weighted Moving Average (WMA) is a technical indicator used in cryptocurrency trading to smooth price data over a specific period. Unlike the Simple Moving Average (SMA), which assigns equal weight to all data points, the WMA gives greater importance to recent prices. This makes it more responsive to new information, which is crucial in the fast-moving crypto markets. The calculation involves multiplying each closing price by a weighting factor, with the most recent price receiving the highest multiplier. For example, in a 5-period WMA, the most recent price is multiplied by 5, the previous by 4, and so on, down to 1. These products are summed and then divided by the sum of the weights (in this case, 1+2+3+4+5 = 15).

This method ensures that the WMA reacts more quickly to price changes than the SMA, helping traders identify trends earlier. However, because of its sensitivity, the WMA can also generate more false signals during volatile periods. Traders often use it to confirm momentum or spot potential reversals, especially when combined with other indicators like RSI or MACD.

What is the Volume Weighted Moving Average (VWMA)?

The Volume Weighted Moving Average (VWMA) takes the concept of weighting a step further by incorporating trading volume into the calculation. Instead of only emphasizing recent prices, the VWMA assigns more weight to price points that come with higher trading volume. The rationale is that price movements supported by strong volume are more significant and reliable. The formula for VWMA is derived by multiplying each period’s closing price by its corresponding volume, summing these values over the selected period, and then dividing by the total volume over the same period.

For instance, if Bitcoin closes at $60,000 on a day with 10,000 BTC traded, that day’s contribution to the VWMA is $60,000 × 10,000. This process is repeated for each day in the lookback window. The VWMA is particularly useful in cryptocurrency markets, where volume can vary drastically between periods. A spike in price accompanied by low volume may be dismissed as noise, while the same spike with high volume is seen as a stronger signal.

Key Differences in Calculation Methodology

The core distinction between WMA and VWMA lies in what they prioritize in their weighting schemes. The WMA focuses solely on the time-based recency of price data. The most recent price always gets the highest weight, regardless of how much trading occurred. In contrast, the VWMA emphasizes price-volume interaction, meaning a price from two days ago could have more influence than yesterday’s price if it was traded at significantly higher volume.

• WMA weights: Based on position in the time series (e.g., day 5 > day 4 > day 3).
• VWMA weights: Based on volume × price, so high-volume days dominate.
• Data inputs: WMA uses only price; VWMA requires both price and volume.

This difference makes the VWMA more adaptive to market activity. In a low-volume rally, the VWMA may rise slowly, signaling caution, while the WMA might show a steep incline, suggesting strong momentum. Traders must decide whether they value time sensitivity or volume confirmation more in their strategy.

Application in Cryptocurrency Trading Strategies

Both WMA and VWMA are used to identify trends, generate entry and exit signals, and act as dynamic support/resistance levels. However, their applications differ based on market conditions.

• Use WMA when trading short-term momentum plays, especially in high-frequency environments like crypto futures. Its responsiveness helps capture early moves.
• Use VWMA in trending markets with clear volume patterns, such as during major news events or institutional inflows. It helps filter out volume-thin price spikes common in altcoins.

For example, a trader might set up a WMA crossover strategy using a 10-period and 30-period WMA. When the 10-WMA crosses above the 30-WMA, it signals a potential long entry. Alternatively, a VWMA-based strategy could involve waiting for price to hold above the 20-period VWMA on high volume before entering a long position, ensuring the trend has real market backing.

Platforms like TradingView allow users to apply both indicators with customizable periods. To add VWMA:

• Open the chart for a cryptocurrency pair.
• Click “Indicators” and search for “Volume Weighted Moving Average.”
• Adjust the length (e.g., 20) and confirm.
• The line will appear, dynamically adjusting based on volume.

Signal Reliability and Market Context

Signal reliability depends heavily on the market context and asset volatility. In highly speculative altcoin markets, the WMA may produce frequent whipsaws due to rapid price swings. A sudden 10% jump on negligible volume could trigger a bullish WMA crossover, but without volume confirmation, the move may reverse quickly.

In contrast, the VWMA tends to lag during low-volume periods but provides stronger validation when volume surges. During a Bitcoin halving event, for instance, a rising VWMA accompanied by increasing volume suggests genuine accumulation, while a rising WMA alone might just reflect short-term speculation.

Traders often combine both indicators:

• A bullish signal occurs when price > WMA > VWMA, indicating both recent momentum and volume-backed strength.
• A bearish divergence appears when price rises above WMA but stays below VWMA, hinting at a weak rally.

Customization and Parameter Settings

Both WMA and VWMA allow parameter adjustments to suit different trading styles.

• For scalping, use shorter periods like 5-WMA or 7-VWMA to capture quick moves.
• For swing trading, 20 or 50-period versions are more appropriate.
• Adjust VWMA length based on average volume cycles; for stablecoins with consistent volume, shorter periods work. For low-cap altcoins, longer periods smooth erratic volume spikes.

To manually calculate a 3-period VWMA:

• Day 1: Price = $30,000, Volume = 5,000 → Contribution = 150,000,000
• Day 2: Price = $31,000, Volume = 7,000 → Contribution = 217,000,000
• Day 3: Price = $32,000, Volume = 10,000 → Contribution = 320,000,000
• Total = 687,000,000
• Total Volume = 22,000
• VWMA = 687,000,000 / 22,000 = $31,227.27

This level becomes a reference for trend strength.

Frequently Asked Questions

Can I use WMA and VWMA together on the same chart?

Yes. Most trading platforms support overlaying multiple moving averages. Apply both indicators and compare their slopes. When WMA is above VWMA and both are rising, it suggests strong short-term momentum with volume support.

Which is better for detecting reversals in crypto markets?

The WMA often detects price reversals earlier due to its time-based weighting. However, the VWMA confirms whether the reversal has volume legitimacy. A reversal signal on WMA should be validated by a corresponding shift in VWMA for higher accuracy.

Does VWMA work well with low-volume cryptocurrencies?

It can be less effective. In low-volume assets, the VWMA may react erratically or lag significantly. Traders might increase the period length or combine it with filters like minimum volume thresholds to improve reliability.

Is the WMA suitable for long-term crypto investing?

While primarily used for trading, long-term investors can use WMA to time entries. A weekly 10-WMA crossing above a 50-WMA on Bitcoin’s chart may indicate a favorable accumulation phase, though fundamental analysis should complement this.