Thursday, September 12, 2019
Moving Average Calculations Essay Example | Topics and Well Written Essays - 500 words
Moving Average Calculations - Essay Example B., ââ¬Å"Technical Analysis from A to Zâ⬠). Simple Moving Average is one of the most important methods utilized for the calculation of moving average. It is denoted by SMA. It is calculated by measuring the average concluding price of a stock along with large number of time periods. It is one of the simple types of moving averages. It mainly includes two different parameters such as ââ¬Ëperiodââ¬â¢ and ââ¬Ëcostââ¬â¢. Moreover, in most of the times, the total number of periods is calculated along with closing value of the stocks. The formula used for the calculation of simple moving average is , where n denotes the number of time periods and Pn is the cost or price required to calculate SMA. The prime benefit of SMA is that it is quite an easy method and is used by most of the traders all over the world (Achelis, S. B., ââ¬Å"Technical Analysis from A to Zâ⬠). Exponential Moving Average is the other important practice utilized for calculation of moving average. It is also denoted as EMA. It is almost similar to SMA except the average is calculated with the help of the most recent price. It is the only reason that many scientific analysts prefer using EMA rather than SMA for examination. The formula utilized for the calculation of EMA is: EMA (current) = ((Price (current) ââ¬â EMA (prev)) x Multiplier) + EMA (prev). The value of EMA changes with alterations in the number of periods which is denoted by ââ¬Ëmultiplierââ¬â¢. Moreover, the method of EMA is also beneficial as it offers the most exact value. Apart from these, it only requires the previous days average value rather than the data of entire phase. Thus, it is more advantageous than SMA (Achelis, S. B. ââ¬Å"Technical Analysis from A to Zâ⬠). A Weighted Moving Average is also the other vital practice utilized for the calculation. It is also a quite well known method. It is denoted as WMA. A weighted moving average provides more importance
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