KD index is the abbreviation of arbitrary oscillation index value. It was first applied to futures analysis. It was born for decades and has been used by many people after long-term verification. KD index can give consideration to both application and coordination. Let's explain the skills of using KD indicators.
SKDJ is an index that optimizes K, D, J and removes J. It is also called slow random index (SKDJ) and is also a kind of random index. SKDJ index is a slow random fluctuation. The optimized index points clearly, and it is very easy to judge the short-term trend of the market or individual stocks.
Random calculation formula of stock
1, random index KD calculation formula
Calculate the RSV (immature random value) of each trading day, RSV= (closing price-lowest price in the last N days))+(highest price in the last N days-lowest price in the last N days) x 100), and the moving average of K line: m 1 RSV. D line: M2 moving average parameters of K value: N, MI, M2 days, generally.
2. Calculation formula of stochastics KDJ
The only difference between KDJ and KD is the addition of a J line, which implies that the stock price is overbought and oversold in the short term. RSV= (closing price-the lowest value of the lowest price in n days) ÷ (the highest value of the highest price in n days-the lowest value of the lowest price in n days) daily cumulative average of x 100, K = RSV m 1, daily cumulative average of M2 of d =, J=3×K-2×D, and parameter setting.
3. Calculation formula of slow stochastics SKDJ.
SKDJ is a kind of stochastics, but the KDJ index fluctuates rapidly and the SKDJ line fluctuates slowly. RSV= (closing price-the lowest revenge of the lowest price in n days) ÷ (the highest value of the highest price in n days-the lowest value of the lowest price in n days) × 100, rsv2 = the moving average of RSV's M-day index, k = the M-day cumulative average of rsv2, the I-day cumulative average of d =, and j = 3× k-2× d.