Moving Average Techniques: Definition, Types, Setup, and Applications

Moving averages are a commonly used technical analysis tool for traders. This article will delve into the definition, types, calculation methods, setup, and application techniques of moving averages.

Definition and Essence of Moving Averages

The moving average, also known as the moving average line, is the arithmetic average obtained by summing the prices over a specific period and dividing by the number of days. Its basic formula is:

N-day moving average = Total closing price over N days / N

As time goes by, a new average value is calculated for each trading day, and connecting these points forms the moving average.

Moving averages can help investors grasp short, medium, and long-term price trends. By analyzing the arrangement patterns of different moving averages, one can determine bullish and bearish trends and look for appropriate buying and selling opportunities. However, it is important to note that moving averages are only one of the basic technical indicators and should not be overly relied upon.

Main Types of Moving Averages

Depending on the calculation method, moving averages can be divided into three main types:

1. Simple Moving Average ( SMA ): The most basic arithmetic average
2. Weighted Moving Average ( WMA ): Assigns higher weight to recent prices.
3. Exponential Moving Average ( EMA ): A special weighted moving average

Compared to SMA, WMA and EMA are more sensitive to recent price changes, allowing for a quicker reflection of trend changes.

Mainstream trading platforms such as Gate have built-in common moving average indicators that can be applied to technical analysis of various financial products, including stocks, foreign exchange, and cryptocurrencies.

Example of Moving Average Calculation Method

For example, using the Simple Moving Average ( SMA ), the calculation formula is:

N-day SMA = ( Day 1 closing price + Day 2 closing price + … + Day N closing price ) / N

For example, the 10-day SMA is the sum of the closing prices of the most recent 10 trading days divided by 10.

The calculation of the Exponential Moving Average ( EMA ) is relatively complex, and its formula is:

Today EMA = Today closing price × K + Yesterday EMA × ((1-K)) Among them, K = 2 / (N + 1)

The EMA gives more weight to recent prices, is more sensitive to price fluctuations, and can reflect trend reversals more quickly, which is why it is favored by short-term traders.

However, for most traders, it is unnecessary to memorize these complex formulas. Trading software will automatically calculate various moving averages, and we only need to add the corresponding indicators.

Selection of Moving Average Periods

Moving averages can be divided into short-term, medium-term, and long-term based on the time period.

• Short term: 5-day ( weekly line ), 10-day moving average
• Mid-term: 20-day ( monthly line ), 60-day ( quarterly line ) moving average
• Long-term: 120-day ( half-year line ), 240-day ( year line ) moving average

Short-term moving averages are more sensitive to recent price changes, but their predictive accuracy is lower. Medium to long-term moving averages reflect long-term average price levels, and while they are less sensitive, they provide more accurate trend predictions.

In practical applications, there is no fixed standard for moving average periods. Traders need to explore the most suitable combination of moving average periods based on their own trading systems.

Steps to Set Up Moving Averages

Taking the Gate platform as an example, the steps to set up the moving averages are as follows:

1. Open the trading interface, the system defaults to display the 5-day, 10-day, and 15-day SMA.

2. Click the icon in the upper right corner to select different types of moving averages and time periods.

3. After selecting the desired moving average type, you can further adjust the time range and the number of moving averages.

In addition to moving averages, Gate also supports adding most commonly used technical indicators such as MACD, Bollinger Bands, and RSI.

Practical Application of Moving Averages

1. Track Price Trends

• The price is running above the short-term moving average, bullish in the short term.
• The price is above the medium to long-term moving averages, optimistic for the medium to long-term.
• The short-term moving average is above the medium and long-term moving averages, indicating a bullish arrangement.
• Short-term moving average is below the medium to long-term moving average, indicating a bearish arrangement.
• The price is between the short-term and long-term moving averages, and the market is in a consolidation phase.

2. Moving Average Crossover Signal

• The short-term moving average crosses above the long-term moving average from below, forming a “golden cross”; consider buying.
• The short-term moving average crosses below the long-term moving average, forming a “death cross”, consider selling.

3. Use in conjunction with Technical Analysis indicators.

Moving averages have a certain lagging nature and can be used in conjunction with leading indicators such as RSI for complementary analysis:

• When the RSI shows divergence, also observe whether the moving averages are flat.
• If the moving averages change from a clear trend to a tangled state, consider locking in profits or placing a counter position.

4. As a stop-loss reference

You can set stop-loss by combining the highest/lowest points of N days (, such as 10 days or 20 days ), with moving averages:

• Long Position: Stop loss when the price is below the N-day low and below the N-day moving average.
• Short Position: Stop loss when the price is above the N-day high and above the N-day moving average.

This method reduces subjective judgment and assesses market changes more objectively.

Limitations of Moving Averages

Moving averages have certain limitations as lagging indicators:

• Calculated using past prices, it has a lagging nature.
• The longer the time span, the more obvious the lag.
• It is difficult to accurately grasp the highs and lows of prices.

Therefore, investors should refine their analysis strategies by combining various indicators such as candlestick charts, trading volume, KD, RSI, MACD, etc., for comprehensive analysis, and continuously optimize their trading systems. There is no perfect single indicator; the key lies in establishing a trading system that suits oneself.