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For those interested why this happens, it's due to
the way Metastock internally does its calculations using Single Precision
Floating Point numbers.
Computers are binary animals and therefore to
represent numbers and fractions of numbers, a method called floating point
representation is used. The more "bits" (0s and 1s) used in representing a
number, the more "precision" it will have and the two most common forms are
single and double precision. There is a computational performance penalty
when using double precision numbers.
A single precision number occupies 32 bits (4
bytes) of memory whereas a double precision is 64 bits (8 bytes) of
information.
Unfortunately, with certain types of calculations
and indicators, the errors introduced by single precision calculations can be
significantly multiplied and cause a wide margin of error. This is
especially true of numbers that are either very large or numbers with lots of
decimal places. It's even worse when you try to multiply large numbers by
small numbers etc and for cumulative values that reference all previous
values in its calculation (eg. OBV).
Let's hope that Equis will someday implement double
precision in both their formula calculations and their data format (or at least
give the user the option).
Best regards,Richard DaleNorgate Investor Services- Premium
Quality Stock & Futures Data covering Australia, Singapore and US Markets
-www.premiumdata.net
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