MA

Moving averages represent one of the most important statistical building blocks in the world of technical stock market analysis. Moving averages help to smooth out price trends and reduce the effect of random movements. By removing outliers, moving averages create more reliable trends. The two most common types of moving average indicators are simple moving averages (SMAs) and exponential moving averages (EMAs). Weighted moving averages (WMAs) are often confused with EMAs, but they actually have a different formula.

WMAs apply a weight, or multiplier, to recent prices to give them a larger influence on a formula. This weight is largest with the most recent trading day's price and decreases at a consistent rate as prices go back in time. For example, the price may decrease by a value of 1.0 for every preceding price.

EMAs, sometimes called exponentially weighted moving averages, are also weighted towards the most recent prices, but the rate of decrease between the one price and its preceding price is not consistent. The difference in decrease is exponential. Rather than every preceding weight being 1.0 smaller than the weight in front of it, you might have a difference between the first two period weights of 1.0, a difference of 1.2 for the two periods after those, and so on.

MA

是简单算术平均，MA(C,2)=(C1+C2)\/2; MA(C,3)=(C1+C2+C3)\/3;不分轻重