AMD: Long-Term Structure For ResearchSince my line of work focuses on understanding and connecting scalable complexities, I require an interactive representation of the long-term market structure of an idea I published a while ago. These ideas will serve as a foundation for developing a probabilistic framework that accurately captures the underlying patterns and relationships governing price movements over time. And the only way to do that is through looking back how price reacts to those levels on the in the future. I'll use this research to enhance an indicator that would automatically output these levels based on historic price action before publishing it in pinescript.
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Why I keep posting these unconventional analyses?
I have a responsibility to those who follow my work, and I take that seriously. My goal is not just to share insights but to equip you with the knowledge and tools necessary to understand price dynamics at a deeper level — so you are never dependent on traditional technical analysts who share signals without worrying about potential negative impact. Many traders fall into the trap of relying on signals or surface-level analysis, only to find themselves caught in losing in the long-term. The harsh reality is that 90% of market participants fail — not due to bad luck, but because they adopt the same conventional strategies as the herd. You can't beat the market if you use same methods as majority operates on. Institutions using advanced trading algorithms are fully aware of the majority’s thinking patterns. They exploit predictable retail behavior, reacting to conventional technical analysis signals before the crowd does. This gives them a strategic edge, allowing them to absorb liquidity, trigger stop hunts, and manipulate price movements in ways most traders fail to anticipate. Blindly following common strategies ensures playing into their hands, reinforcing the cycle of retail losses.
