Perceiving the price action as a function of trading time justifies the quantitative approach in drawing geometric relationship between phases of cycles. Hence, it's safe for me to assume that market is a time fractal which has its own path regardless the collective opinions of the market participants. Logistic curve that reflects well the speed of information spreading made me ignore the voices of masses. The principle aligns with EMH - that the condition of the market is already reflected in the current price. Impulsive and corrective waves are governed by golden rule in one way or the other. That's why I used fibonacci channels to build predictive models which reflect the interconnectedness of composite fractals to the whole cycle. By measuring the extreme levels of historic wave, the derived fibonacci channels exposed the timing, size and probability levels of the next ones. In regular TA, people are wrongfully focused on covering their immediate expectations from the market, analyzing a narrow data range of the chart. Whereas, Fractal Analysis graphically shows how current price is interconnected with the entire history of fluctuations in a single probabilistic map.
In this update I fused earlier discovered structures and boundaries to the chart
Added more series of fib ratios derived from white triangle (src 0;1)
Linear boundaries of macro-fractal:
Implementation of fibs with big time Intervals: As violet Fibs:
Other observations: We're in a big triangle derived by linear extension 2021 tops and Full cycle (COVID - 2022 LOWS) Source: Implementation: (On interactive chart it darkens till intersection)
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