Here is some interesting geometry on an outer edge ray.
- Extrema point 0 on ATH
- Extrema point 1 on PI * 27.3 (orbital period moon) High
- Break on PI
- Retest on 3.5
All within a tiny margin of error.
The time between 0 and 1 ≈ 5 moon orbits
The time between 0 and PI ≈ 16 moon orbits
You could probably draw and find proportions everywhere on either scale, but what is the chance of them relating equally on both price AND time scales?
How unique is this occurrence?
Statistically probably a unicorn event.
How great would it be, to produce analytical algorithms that find these price and time-dependent extrema points and relate them with each other via things like outer edge extension rays, to measure and test at what proportions they are broken/retested, and so change in status, to truly test how unique, predictable and structured-to-nature the market behaves.
- Extrema point 0 on ATH
- Extrema point 1 on PI * 27.3 (orbital period moon) High
- Break on PI
- Retest on 3.5
All within a tiny margin of error.
The time between 0 and 1 ≈ 5 moon orbits
The time between 0 and PI ≈ 16 moon orbits
You could probably draw and find proportions everywhere on either scale, but what is the chance of them relating equally on both price AND time scales?
How unique is this occurrence?
Statistically probably a unicorn event.
How great would it be, to produce analytical algorithms that find these price and time-dependent extrema points and relate them with each other via things like outer edge extension rays, to measure and test at what proportions they are broken/retested, and so change in status, to truly test how unique, predictable and structured-to-nature the market behaves.
MVPMC
