What is Hull-Moving Average and How to Use It in Trading?

Technical analysis uses price history to identify trends. Moving averages help traders do this by smoothing price data and making trends easier to see. Common types such as the Simple Moving Average (SMA) and Exponential Moving Average (EMA) are widely used for this purpose.  

However, these traditional moving averages often react slowly to sudden price changes. This delay can cause traders to enter or exit trades later than expected, especially in fast-moving markets. To address this limitation, the Hull Moving Average was developed. It aims to reduce lag while keeping the price line smooth, helping traders read trends more clearly and respond to market changes with better timing. 

Key Takeaways 

Issue with Price Delays in Traditional Moving Averages

To illustrate how traditional moving averages can cause delays, consider a stock's closing prices over 10 days: 

The total of prices is ₹997, giving an SMA of ₹99.70 (₹997 divided by 10 days). 

If, on the 11th day, the price rises to ₹110, the new 10-day total becomes ₹1,007 (dropping the first ₹100 and adding ₹110), resulting in an SMA of ₹100.70. 

Even though the price sharply increases from ₹104 to ₹110, the SMA only modestly moves from ₹99.70 to ₹100.70, showing a lag because traditional MAs treat recent and older prices equally, thus not promptly reflecting current market conditions. 

What Is the Hull Moving Average (HMA)? 

Developed by Alan Hull in 2005, the Hull Moving Average is a trend-following tool designed to reduce the lag seen in traditional MAs and provide trend signals. The HMA is especially useful for traders as it accurately captures the current price movement and momentum, aiding swift and informed trading decisions. 

The HMA offers a clearer view of: 

With these insights, traders can better determine their trading positions, entry points, and stop-loss levels. 

Unlike traditional MAs that assign equal importance to all data points, the HMA places more emphasis on recent prices, making it more responsive to market changes and helping traders react promptly to new trends. This results in a more precise and clear depiction of price trends, enabling traders to make well-informed decisions quickly. 

Also Read: What Moving Average? 

How Does Using HMA Solve Price Delays? 

Essentially, the HMA places greater emphasis on recent price shifts, thus decreasing lag and making it more responsive to new price changes. Moreover, this technical tool is computed through a two-step method involving two Weighted Moving Averages (WMAs)—one for a longer duration and another for a shorter span.  

The WMA for a longer period helps smooth out fluctuations in price data, providing a clearer trajectory of prices. The shorter-period WMA reduces the indicator's delay, offering a clearer insight into recent price movements. 

Understanding the Hull Moving Average Mathematics 

The Hull Moving Average (HMA) is built on a foundation of weighted moving averages to react quickly to recent price changes. It utilises a sophisticated formula that includes the square root of the period and combines several weighted averages for a refined and accurate depiction of price trends. 

Steps to Calculate Weighted Moving Average (WMA)

Step 1: The WMA prioritises recent prices more heavily. For a given period n, it's calculated as: 

WMA(n) = (sum(i=1 to n) (i * Price(i))) / (sum(i=1 to n) i) 

where Price(i) is the price at the i-th period. 

Step 2: Calculate Half-Period WMA: For half the period n, calculate: 

WMA(n/2) 

Step 3: Calculate Full-Period WMA: For the entire period n, calculate: 

WMA(n) 

Step 4: Combine WMAs to Form an Intermediate Value: Create an intermediate value by manipulating the two WMAs: 

Intermediate Value = 2 * WMA(n/2) - WMA(n) 

Step 5: Final Hull Moving Average Calculation: Apply WMA to this intermediate value over the square root of the period n: 

HMA(n) = WMA(sqrt(n)) of the Intermediate Value 

For instance, if we calculate the HMA for a period of 9: 

Although the formula for the HMA might initially seem complex, it is crafted to reflect true market behaviour, giving more importance to recent price data while considering the overall trend. This helps traders spot significant market shifts and reduces the distraction of minor fluctuations. 

Additionally, integrating multiple weighted moving averages in the HMA calculation brings a deeper level of detail by highlighting various aspects of price movements. This multifaceted approach boosts its precision, aiding traders in making well-informed decisions. 

Setting Up the Hull Moving Average 

Before you start using the HMA in your trading, it’s important to pick the right time frame. This choice should align with your trading style and the type of asset you are trading. For example, short-term traders might find shorter time frames like 5-minute or 15-minute charts more useful, whereas long-term traders might opt for daily or weekly charts. 

Another key step in configuring the HMA is choosing the moving average period, which affects how quickly the indicator reacts to price changes. Short periods, such as 9 or 12, are quicker to respond and are good for short-term traders who need timely signals. Alan Hull's default is 16. Longer periods, like 20, 50, provide a wider view of the market trends and are better for long-term traders.  

Once the HMA is applied to your chart, knowing how to read the indicator line is vital. If the HMA line is rising, it typically indicates a bullish trend. If it’s falling, this suggests a bearish trend. A flat HMA line may indicate a market in consolidation or a time of uncertainty. 

Different Strategies for Using HMA

For short-term traders focusing on technical analysis, the Hull Moving Average (HMA) can be more advantageous than traditional moving averages. If you're interested in capitalising on quick market shifts, the HMA can help you identify the current market trend, pinpoint where support and resistance levels are emerging, and spot potential points for entering or exiting trades. 

Additionally, there are several specific strategies involving moving averages that you might find useful, described as follows: 

1. Trend Following Trades: Use the HMA to detect the ongoing trend and decide whether to go long or short. An upward-trending HMA indicates a bullish market, suggesting a good time to buy, while a downward trend may signal a bearish market, prompting a short sale. 

2. Filter Trading Strategy: A common challenge in technical analysis is the occurrence of false signals. The HMA can help filter out these inaccuracies by reducing market noise. Setting a threshold slightly above or below the HMA can help differentiate between true market moves and random, misleading fluctuations. 

3. Divergence Trading Strategy: This strategy focuses on discrepancies between the HMA and current price movements. If prices reach new highs or lows but the HMA doesn’t follow, it could indicate that the trend is weakening, potentially signalling an upcoming reversal. 

4. HMA Breakout Strategy: This strategy leverages early signals from price breakouts. If the price moves beyond an existing support or resistance level, and particularly if it breaks above the HMA, it may indicate a strong upward trend and a buying signal. Conversely, a price dip below the HMA might suggest selling. 

Also Read: Bull Vs Bear Market 

Interpreting the Hull Moving Average 

The Hull Moving Average can be interpreted in a way similar to other moving averages, but it reacts faster to price changes. Its main purpose is to help traders understand the direction of the trend and identify possible entry or exit points with less delay.  

When the HMA is sloping upward, it usually signals that the market is in an uptrend. When it slopes downward, it indicates a downtrend. A flat or sideways HMA often suggests consolidation or a lack of clear direction. 

Shorter-period HMAs are commonly used to spot potential entry points. If the broader trend is upward and the HMA turns upward after a brief dip, it may indicate a buying opportunity. Likewise, in a downtrend, a downward turn in the HMA can signal a possible selling opportunity. 

Unlike many moving averages, crossover signals may generate fewer confirmations due to lower lag. Since lag is already reduced, focusing on changes in slope and clear turning points often provides more practical signals for trading decisions. 

HMA: Benefits and Drawbacks

Before incorporating the Hull Moving Average (HMA) into your trading strategies, it's crucial to understand both its advantages and disadvantages. This knowledge will enable you to leverage its strengths and mitigate its weaknesses. 

Benefits of the HMA: 

Drawbacks of the HMA:

Comparing HMA with other moving averages 

When comparing the Hull Moving Average with other commonly used moving averages, the key difference lies in how quickly each responds to price changes while maintaining smoothness. 

HMA vs SMA: The Simple Moving Average is one of the slowest indicators because it gives equal weight to all past prices. This often results in noticeable lag, especially during sharp price movements. In comparison, the Hull Moving Average reacts faster and provides earlier signals, which can be helpful when markets move quickly.  

HMA vs EMA: The Exponential Moving Average improves on the SMA by giving more weight to recent prices, making it more responsive. However, it can still lag during sudden reversals. The Hull Moving Average refines this further by reducing delay while keeping the price line smooth, which helps in identifying early turning points more clearly.  

HMA vs WMA: The Weighted Moving Average is highly sensitive because it heavily prioritises recent prices. While this improves speed, it can also make the indicator noisy. The HMA addresses this issue by applying square-root smoothing, which balances responsiveness with clarity.  

When comparison helps: Traders often use HMA alongside SMA or EMA to confirm trend direction, reduce false breakouts, and identify stronger support or resistance zones. This layered approach can lead to more dependable trading signals.