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SMA Moving Average Basic Guide: A Must-Learn Technical Analysis Tool for Beginners
Moving averages are the cornerstone of technical analysis. Among various types, the Simple Moving Average (SMA) is the preferred choice for beginner traders due to its ease of understanding and application. This article will delve into the principles, calculation logic, and practical application methods of the SMA.
Core Concepts of SMA
The Simple Moving Average (SMA) is a technical indicator that helps traders determine the direction of an asset’s price movement. It smooths out price fluctuations, allowing traders to observe trends more clearly.
The calculation principle of the SMA is straightforward: add up the closing prices of an asset over a certain period and then divide by that period’s number of days. This approach eliminates short-term noise and highlights the true trend of the price.
For example: Suppose the past 15 days’ prices of an asset are:
Week 1 (5 days): 30, 35, 38, 29, 31
Week 2 (5 days): 28, 33, 35, 34, 32
Week 3 (5 days): 33, 29, 31, 36, 34
To calculate the 10-day SMA, sum the closing prices of the first 10 days and divide by 10 to get the first data point. The next data point is calculated by dropping the first day’s price, adding the 11th day’s price, and so on:
First data point = (30+35+38+29+31+28+33+35+34+32) / 10 = 32.6
Second data point = (35+38+29+31+28+33+35+34+32+33) / 10 = 32.9
Third data point = (38+29+31+28+33+35+34+32+33+29) / 10 = 32.2
Connecting multiple data points forms the SMA line, which appears as the SMA chart.
How SMA Reflects Market Trends
The upward or downward slope of the SMA directly corresponds to the trend direction of the asset’s price. When the SMA slopes upward, it indicates an uptrend; when it slopes downward, it suggests a downtrend.
In practical application, SMAs of different periods serve different purposes:
It is important to note that the SMA is a lagging indicator based on past prices. It only shows past trends and cannot predict future movements. When signals are confirmed, the trend may have already been underway for some time. In choppy markets, prices frequently cross the SMA, generating many false signals that can mislead trading decisions.
Two Major Trading Strategies Based on SMA
Strategy 1: Price and SMA Crossovers
Traders observe the intersection of price candlesticks and the SMA to determine entry points. When the price crosses above the SMA, it is often a buy signal; when it crosses below, it is a sell signal.
This method is simple and intuitive, making it accessible for beginner traders. However, it performs poorly in consolidating markets and can produce false signals.
Strategy 2: SMA Crossover Strategy
This involves plotting two SMAs of different periods to identify trading opportunities. For example, using the 20-day and 50-day SMAs:
When the short-term SMA (20-day) crosses above the long-term SMA (50-day), it is called a “Golden Cross,” which is a buy signal and often indicates the start of an upward trend.
Conversely, when the short-term SMA crosses below the long-term SMA, it is called a “Death Cross,” which is a sell signal and suggests a potential downward trend.
The crossover strategy generally offers more reliable signals than a single SMA, reducing false signals.
Setting Up SMA on Trading Platforms
On most charting software, setting up an SMA is similar:
It is recommended to assign different colors for clarity and to facilitate quick management or removal of indicators from the top-left corner of the chart.
Summary and Recommendations
The SMA is an important tool in trading analysis, but relying on a single indicator has limitations. To improve trading success rates, traders should combine the SMA with other indicators such as RSI, MACD, etc., to create a multi-confirmation system that filters out false signals and supports more rational trading decisions.