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MACD KDJ(MACD KDJ).doc

发布:2017-07-21约2.26万字共16页下载文档
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MACD KDJ(MACD KDJ) MACD - exponential smoothing, similarity and variation, moving averages I. Introduction: exponential smoothing, similarity and variation, moving average, also called index deviation index, are the further development of the moving average principle. Analysis tools since 1971 by Char Lal della that I created this technology, the stock market has been well received by investors. MACD principle is the use of short-term (fast) and long-term (slow) moving average polymerization and dispersion sign to double smoothing operation, to study the opportunity of buying and selling in the stock market, the index has great practical significance. According to the characteristics of the moving average, in a sustained rise in the short-term and long-term moving average moving average distance will become even wider, the deviation is more and more big, if the trend rise slowly, the distance between the two is bound to shrink, and even cross each other, giving a sell signal. Similarly, in the continued decline, the short-term line in the long-term line, the distance between each other farther and farther, if the decline slowed down, the distance between the two will also be reduced, and finally issued a buying signal cross. Two. Calculation formula: In general, the fast EMA is generally selected for 6 days, the slow EMA is usually selected for 12 days, and the differential value (DIF) is calculated as: DIF = EMA6 - EMA12 As to the extent to which the difference (DIF) is reduced, it is really a sign of market reversal. In general, the reversal signal of MACD is the 9 day moving average of the differential value, and the mean deviation is expressed by DEA The calculated DIF and DEA are positive or negative, thus forming two fast and slow lines moving up and down on the 0 axis. In order to facilitate the judgment, the common DIF is subtracted DEA and the histogram is plotted. If the histogram continues to expand, the note continues to rise and the negative value conti
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