 | |  | | 计算方法也不一样:
KDJ计算公式：
1．产生KD以前，先产生未成熟随机值RSV。其计算公式为：
N日RSV=[(Ct-Ln)/(Hn-Ln)] ×100
2．对RSV进行指数平滑，就得到如下K值：
今日K值=2/3×昨日K值+1/3×今日RSV
式中，1/3是平滑因子，是可以人为选择的，不过目前已经约定俗成，固定为1/3了。
3．对K值进行指数平滑，就得到如下D值：
今日D值=2/3×昨日D值+1/3×今日K值
式中，1/3为平滑因子，可以改成别的数字，同样已成约定，1/3也已经固定。
4．在介绍KD时，往往还附带一个J指标，计算公式为：
J=3D-2K=D+2(D-K)
可见J是D加上一个修正值。J的实质是反映D和D 与K的差值。此外，有的书中J指标的计算公式为：J=3K-2D
Stochastic Oscillator :
%K periods. This is the number of time periods used in the stochastic calculation;
%K Slowing Periods. This value controls the internal smoothing of %K. A value of 1 is considered a fast stochastic; a value of 3 is considered a slow stochastic;
%D periods. his is the number of time periods used when calculating a moving average of %K;
%D method. The method (i.e., Exponential, Simple, Smoothed, or Weighted) that is used to calculate %D.
The formula for %K is:
%K = (CLOSE-LOW(%K))/(HIGH(%K)-LOW(%K))*100
Where:
CLOSE — is today’s closing price;
LOW(%K) — is the lowest low in %K periods;
HIGH(%K) — is the highest high in %K periods.
The %D moving average is calculated according to the formula:
%D = SMA(%K, N)
Where:
N — is the smoothing period;
SMA — is the Simple Moving Average. |  |  |  |  |
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发表于 2006-2-24 17:28
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