AMD: Fibonacci Framework (Fractal Analysis RECAP)

In this idea, I’d like to share a quick recap about my unconventional approach to understanding the chaos of the market.

Price movements don’t just mirror fundamentals, they also reshape them in continuity. Relating recent fluctuations to historic swings is crucial, because markets operate within a structured, evolving framework where past price proportions subtly wire the future. The interplay between bulls and bears doesn’t unfold randomly — it reflects recurring behavioral cycles encoded in historical patterns. Each swing carries the imprint of collective psychology, liquidity dynamics, and structural forces, which tend to repeat in varying scales. In Fractal Analysis, I recognize 2 key aspects of price dynamics: magnitude (price) and frequency of reversals (time).

For example, capturing the direction of past bullish wave can be used to define boundaries of future bearish waves. In logarithmic scale, the movements exhibit relatively more consistent angle (as percentage-based distance factors in natural growth).
To build structural framework, we need another 2 chart-based frames of reference because having multiple Fibonacci channels layered across cycle creates a collective framework of confluence zones, where price reactions become more meaningful. When several channels align or cluster around the same price levels, those zones gain credibility as potential support/resistance, because independent measurements are pointing to the same structural levels. This is why by analyzing price within a broader historical context, we gain perspective on where current price action fits within the larger market narrative.