Moving Averages Explained

Moving averages (MA) are a powerful tool for analyzing market trends in technical analysis (TA). They provide valuable insights into market performance but should not be relied upon solely. It's recommended to use a combination of different TA indicators to avoid false signals and make the right trading decisions.

Basics

The use of technical analysis (TA) in trading is not a new concept. It aims to make informed decisions through the use of data. Among the many types of TA indicators, moving averages (MA) stand out for their popularity and consistent usage. While there are various types of moving averages, their purpose is to create clear trend indicators by smoothing out graphs. Despite being considered lagging or trend-following indicators, moving averages remain powerful tools in cutting through market noise and identifying potential market directions as they rely on past data.

Types of Moving Averages

When it comes to trading, there are different types of moving averages available to traders. These can be used in various setups, ranging from day trading to longer-term investments. However, the most commonly used categories for moving averages are simple moving averages (SMA) and exponential moving averages (EMA). Depending on the trader's preferences and the market, they can choose the indicator that suits their setup the most at present.

The Simple Moving Average

The SMA is a technical analysis indicator that takes data from a set period of time and calculates the average price of a security for that data set. However, unlike a basic average, the SMA disregards the oldest data set as soon as new data is entered. For example, if the SMA calculates the mean based on a 10-day period, only the last 10 days of data will be included in the calculation.

One drawback of the SMA is that all data inputs are given equal weight, regardless of how recently they were inputted. Traders who prioritize the most recent data argue that this equal weighting is detrimental to technical analysis. To address this issue, the Exponential Moving Average was created.

The Exponential Moving Average

The EMA is similar to the SMA in that it uses past price fluctuations to provide technical analysis. However, the EMA assigns more weight and value to the most recent price inputs, making it more responsive to sudden price fluctuations and reversals. As a result, the EMA is often favored by traders engaged in short-term trading.

When choosing between the SMA and EMA, traders should consider their strategies and goals, adjusting the settings accordingly. Both indicators are widely used in the trading and investing world.

Moving Averages Settings

Moving averages are widely used in trading and investing, but they come with a certain lag period. The larger the data set, the more expansive the lag. For instance, an MA that examines the past 100 days will be slower to respond to new data than an MA that only considers the past 10 days.

Traders can choose which MA suits their setup best. For long-term investors, larger data sets are beneficial as they are less likely to be drastically altered due to one or two significant fluctuations. Short-term traders, on the other hand, favor smaller data sets that allow for more responsive trading.

The 50-day, 100-day, and 200-day moving averages are the most commonly used in traditional markets. In stock trading, the 50-day and 200-day MAs are closely monitored, and any breaks above or below these lines are considered significant trading signals, particularly when followed by crossovers. 

In cryptocurrency trading, the same principles apply, but due to the market's 24/7 volatility, the MA settings and trading strategy may vary. Traders who focus on day trading may be more interested in the asset's performance over the past few hours rather than months. Various timeframes can be applied to the equations used to calculate moving averages as long as they align with the trader's strategy.

Crossover Signals

Naturally, a rising MA represents an upward trend and a falling MA indicates a downward trend. But when used alone, moving averages may not be a reliable and strong indicator to identify market trends. Traders often use a combination of MAs to spot bullish and bearish crossover signals, which are created when two different MAs cross over each other on a chart.

A bullish crossover, also known as a golden cross, occurs when a short-term MA crosses above a long-term MA. This suggests the start of an upward trend and is seen as a positive sign by traders. Conversely, a bearish crossover, or death cross, happens when a short-term MA crosses below a long-term MA. This indicates the beginning of a downtrend and is seen as a negative sign by traders. By identifying these crossovers, traders can make informed decisions about when to buy or sell assets.

Moving Averages Disadvantages

One major drawback of MAs is their lag time since they are lagging indicators that rely on past price action. As a result, the signals are frequently delayed. For example, a bullish crossover may signal a buy, but it may happen only after a significant price increase. This means that potential profit may be lost during the time between the price rise and the crossover signal. Alternatively, a false golden cross signal may lead a trader to purchase the local top just before a price decline, resulting in fake buy signals referred to as bull traps.

Conclusion

Moving Averages are among the most powerful technical analysis indicators available. They are a valuable tool for analyzing market trends in a data-driven manner, providing valuable insights into market performance. However, traders must be cautious not to rely solely on MAs and crossover signals when making trading decisions. It is always advisable to use a combination of different TA indicators to avoid falling prey to false signals.