什么是平方根理论? The theory holds that stock and other publicly traded instrument prices move over the long and short term in a square root relationship to prior highs and lows. 该理论认为,股票和其他公开交易工具的价格将在长期和短期的平方根关系,事先高位低点。 For example, IBM made a monthly closing low of 4.52 in June, 1962 and monthly closing high of 125.69 in July, 1999. 例如, IBM提出了每月收盘低点4.52 6月, 1962年和每月的收盘新高125.69在1999年7月。 This is within a few percentage points of the square of the sum of the square root of the low price + 9 or (2.12+9)^2. 这是在几个百分点的平方之和的平方根低价格+ 9或( 2.12升) ^ 2 。 GM made a low of 15 in November, 1974 and a high of 95 in May, 1999. 通用汽车公司提出了低的在11月15日, 1974年,高95 1999年5月。 Again, a few percentage points from the square of the sum of the square root of the low + 6 or (3.87+6)^2. 同样,几个百分点的面积之和的平方根低+ 6或( 3.87 +6 ) ^ 2 。 There are hundreds of these examples across the stock, financial and commodity markets. 有数以百计的这些例子在股票,金融和商品市场。 Even a few minutes with a pile of stock charts and a calculator will build confidence that major highs and lows are related to each other by additions and subtractions to their square roots. 即使几分钟的一堆股票图表和一个计算器,建立信任,主要高点和低点都与对方的增减其平方根。
平方根理论在行动 Let’s go through a recent daily chart of the SP500 and see how it works. 让我们通过最近的每日图表SP500和看看它是如何工作。 The SP500 made a pivot low at 1060.72 on Aug-13-2004. 该SP500作出了支点低,在8月一千○六十〇点七二- 13 - 2004 。 Is there a square root relationship to that low that may be predictive of a future pivot high? 是否有平方根的关系,低可预测未来的支点高呢? Are other high and low pivots related by square roots? 其他的高,低枢轴相关的平方根?
Let's do the math. 让我们做数学。 You can refer to the tutorial on constructing a for more detail. 您可以参阅教程的建设详细介绍。
- Aug-13-2004 low = 1060.72 = Square Root 32.568 8月13日2004年低= 1060.72 = 32.568平方根
32.568 + 2.5 = 35.068 32.568 + 2.5 = 35.068
35.068 ^2 = 1229.81 = Mar-7-2005 high! 35.068 ^ 2 = 1229.81 = 3至7月- 2005高! - Mar-7-2005 high = 1229.11 = Square Root 35.058 3至7月- 2005高= 1229.11 = 35.058平方根
35.058 - 1.25 = 33.808 35.058 -1 .25= 3 3.808
33.808 ^2 = 1143.03 = Apr-20-2005 low! 33.808 ^ 2 = 1143.03 =四月- 20 - 2005低! - Apr-20-2005 low = 1136.15 = Square Root 33.706 4月20日2005年低= 1136.15 = 33.706平方根
33.706 + 1.25 = 35.207 33.706 + 1.25 = 35.207
35.207 ^2 = 1239.52 = Jul-29-2005 high! 35.207 ^ 2 = 1239.52 =七月- 29 - 2005年高! - 七月- 29 - 2005年高= 1245.04 = 35.285平方根
35.285 - 1 = 34.285 35.285 -1 = 3 4.285
34.285 ^2 = 1175.46 = Oct-13-2005 low! 34.285 ^ 2 = 1175.46 = 10月13日2005年低!
How did we know to use 1 or 1.25 or 2.5 to add or subtract from the pivot points? 怎么我们知道使用1或1.25或2.5添加或减去从枢轴点? Gann said that 90 degrees is very important for the markets. 江恩说, 90度是非常重要的市场。 Gann also said that the number 2 represents a full circle or 360 degrees. 江恩还表示, 2号是一个圈,或360度。 1 therefore equals 180 degrees and .500 and 250 90 degrees and 45 degrees respectively. 因此,一日等于180度, 0.500和250名90度和45度的分别。 We only had to add or subtract a few increments of .500 or .250 to each pivot point to obtain these results. 我们只需要添加或减去一些递增0.500或0.250的每个支点取得这些成果。 Longer swings or high priced indexes may require 3, 4, 5 or even higher base addends or subtrands. 不再波动或高价指标可能需要3 , 4 , 5 ,甚至更高基地addends或subtrands 。
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