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In non‐directionally aligned divergence, disagreement is either present or
not, whereas in directionally aligned divergence, disagreement and conse-
quently non‐confi rmation is measured by degrees.The degree of non‐confi rmation may therefore be represented by the amount
of divergence or convergence present between the data series. The larger the
amount of directionally aligned divergence or convergence between the data se-
ries, the greater the degree of disagreement and its potential impact on price.
A steeper slope or angle of ascent in the supporting data series is more bullish
for price, and vice versa. Consequently:
■ The greater the degree of divergence between the data series, the more bearish
it is for price.
■ The greater the degree of convergence between the data series, the more bull-
ish it will potentially be for price.In conclusion, if confi rmation and non‐confi rmation are treated as relative
measures of agreement and disagreement, then it will be possible to attribute di-
rectionally aligned divergence and convergence with a sense and degree of bullish
and bearish bias. Therefore, in conclusion, data series trending in the same general
direction may still impact price in a bullish or bearish manner, by the degree of
disagreement or disparity between the slopes of the data series. The data series do
not need to move in opposite directions in order to impact price.
Figure 9.26 Increasing Degrees of Non‐Confi rmation and Convergence.