# Trading using simple moving averages

Among the most basic classes of technical metrics stock traders use to assess a stock are those that analyze moving averages. For example, consider a stock that has a day simple moving average value, which is calculated trading using simple moving averages averaging its price from day 1 to day 50 of a day stretch. On the following day, day 51, its day moving average will be calculated as the mean of its share prices from day 2 to day The following day, it will be the mean of day 3 to day Exponential moving averages, on the other hand, place greater weight on more recent prices and tend to be less smooth as a result.

Moving averages are a sign of momentum. They tell traders where a stock has been and where it could be going. A moving average with a positive slope indicates the stock has been in an uptrend. Longer-term moving averages incorporate more data points and tend to be smoother. Traders use moving averages as trading tools in a variety of different ways. Below are three common ways they are used. Some traders use moving averages as potential support and resistance levels. Stocks in an uptrend often find support at major moving averages, such as the commonly trading using simple moving averages day and day simple moving averages.

Traders often buy stocks in an uptrend as they approach their major moving averages from above and sell stocks in a downtrend as they approach their major moving averages from below.

Another way traders use moving averages is for mean reversion trading strategies. Finally, traders often use moving average cross-overs as trading trading using simple moving averages. This article is provided for educational purposes only and is not considered to be a recommendation or endorsement of any trading strategy.

The author is not affiliated with Lightspeed Trading and the content and perspective is solely attributed to the author.

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In the statistics of time seriesand trading using simple moving averages particular the analysis of financial time series for stock trading purposes, a moving-average crossover occurs when, on plotting two moving averages each based on different degrees of smoothing, the traces of these moving averages cross. It does not predict future direction but shows trends. This indicator uses two or more moving averages, a slower moving average and a faster moving average.

The faster moving average is a short term moving average. For end-of-day stock markets, for example, it may be 5- or day period while the slower moving average is medium or long term moving average e. A short term moving average is faster because it only considers prices over short period of time and is thus more reactive to daily price changes.

On the other hand, a long term moving average is deemed slower as it encapsulates prices over a longer period and is more lethargic. However, it tends to smooth out price noises which are often reflected in short term moving averages. A moving average, as a line by itself, is often overlaid in price charts to indicate price trends.

A crossover occurs when a faster moving average i. In other words, this is when the shorter period moving average line crosses a longer period moving average line. In stock investing, this meeting point is used either to enter buy trading using simple moving averages sell or exit sell or buy the market. The particular case where simple equally weighted moving-averages are used is sometimes called a simple moving-average SMA crossover.

Such a crossover can be used to signal a change in trend and can be used to trigger a trade in a Black Box trading system. Golden cross- There are several types of moving trading using simple moving averages cross traders use in trading.

When days simple moving average cross 50 days simple moving average it is called a golden cross. The golden cross is widely accepted. Silver cross- When 50 Exponential moving average cross above or below exponential moving average it is known as a silver cross. Silver cross invented by a Successful forex trader S. Hasib believe that exponential moving average helps to understand current market conditions. The exponential moving average also acts as a dynamic support and resistance.

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