This is based on the Fractal indicator. For this purpose I calculated the Fractals manually in python. The optimize number for fractals on a Daily (Globex) Chart is 4. I then ran a DBSCAN (Machine Learning cluster algo) to determine the relationship of Support and Resistance over the last two years data. I then plotted those scans. UpFractals:
Count: There are 49 non-NaN UpFractal data points. Mean: The average value of UpFractals is approximately 4443.53. Standard Deviation: The spread of UpFractals around the mean is approximately 268.19. Minimum: The smallest UpFractal value is 3980.25. 25th Percentile: 25% of the data points have an UpFractal value less than 4266.75. Median (50th Percentile): The median value is 4382.25. 75th Percentile: 75% of the data points have an UpFractal value less than 4636.75. Maximum: The highest UpFractal value is 4979.75.
DownFractals:
Count: There are 51 non-NaN DownFractal data points. Mean: The average value of DownFractals is approximately 4201.51. Standard Deviation: The spread of DownFractals around the mean is approximately 267.79. Minimum: The smallest DownFractal value is 3662.25. 25th Percentile: 25% of the data points have a DownFractal value less than 4009.63. Median (50th Percentile): The median value is 4205.25. 75th Percentile: 75% of the data points have a DownFractal value less than 4407.13. Maximum: The highest DownFractal value is 4790.00.
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