Check your tabulated data at the point where the "spike" begins. The volume value may be missing a couple of digits, causing it to be much smaller than its neighboring values, as in the following example (DATE, HIGH, LOW, VOLUME) ... As shown above, all data is fairly consistent with the exception of the third line, whose volume (value 282) appears to be off by a factor of 100. Here's why the BA function "explodes" in these situations: The BA data points are calculated by the following formula:9-6-1999, 18.25, 17.75, 54750 9-7-1999, 18.5, 17.50, 60736 9-8-1999, 18.5, 18.25, 282 9-9-1999, 19.75, 17.5, 107620
where: "normalized box ratio" equals (normalized height)/(normalized width)
"normalized width" reflects the volume So check your data. If you find that the volume is off by a factor of 100, then add two 0's to its end, then see how the BA changes. It should then look fine. You may wonder why zero-volume days don't produce disastrous effects with the BA (dividing by zero creates a box ratio equal to infinity!). Simply, the Box Analyzer ignores zero volume days in its calculations.
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