We have taken a look at Daily, Weekly, & Monthly Moving Averages for commonly used numbers given our base 10 system, and discussed the reason for the discrepancies across time frames. Now we take a look at how moving averages change using the Fibonacci Sequence across multiple time frames.
Using daily, weekly, and monthly closes, I have overlaid the SMAs using the Fibonacci Sequence to determine the number of periods to measure.
Starting with the 5th number of the Fibonacci Sequence:
5 black 8 orange 13 red 21 pink 34 purple 55 dark blue 89 light blue 144 light green 233 black 377 orange 610 red 987 pink 1597 purple 2584 dark blue 4181 light blue
Understanding that the next number in the sequence is related to the previous by a factor of phi, the golden ratio, is it really a surprise that these moving averages trend so closely despite changing the time frame?
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