Bitcoin's Moving Averages (Lucas Daily, Weekly, & Monthly EMAs)
Closing in on the completion of the series on moving averages, I have overlaid the EMAs using Lucas Numbers to determine the number of periods to measure for daily, weekly, and monthly closes.
2 black
1 orange
3 red
4 pink
7 purple
11 dark blue
18 light blue
29 light green
47 black
76 orange
123 red
199 pink
322 purple
521 dark blue
843 light blue
1364 light green
2207 black
3571 orange
By now I have presented a sufficient number of moving averages to compare. Hopefully perspective has been given to the shortcomings of rigidness. I do not intend to push the importance of one over another. The purpose of these posts on moving averages is to clarify the immanence of short and long term rates of change. Measuring previous rates of change can only aid in the identification of future changes in rates of change. Future posts will show my preferred metrics.
How else can we play with this data? Over time, I will explore the deviations of means both from each other and from the current price. We will also consider how significant moving average crossings are. We'll note moving averages as being more significant when they are parallel or align with channels since different participants looking at different metrics arrive at the same conclusion, the rate of change.
2 black
1 orange
3 red
4 pink
7 purple
11 dark blue
18 light blue
29 light green
47 black
76 orange
123 red
199 pink
322 purple
521 dark blue
843 light blue
1364 light green
2207 black
3571 orange
By now I have presented a sufficient number of moving averages to compare. Hopefully perspective has been given to the shortcomings of rigidness. I do not intend to push the importance of one over another. The purpose of these posts on moving averages is to clarify the immanence of short and long term rates of change. Measuring previous rates of change can only aid in the identification of future changes in rates of change. Future posts will show my preferred metrics.
How else can we play with this data? Over time, I will explore the deviations of means both from each other and from the current price. We will also consider how significant moving average crossings are. We'll note moving averages as being more significant when they are parallel or align with channels since different participants looking at different metrics arrive at the same conclusion, the rate of change.
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