Let us now look at it from another dimension.
Mathematics has an interesting topic called 'Chaos Theory' which evolved in the last 3 decades and is still evolving.
Most engineering kind of math is linear. Chaos is non-linear math it talks about random events/variables and is applied to events in nature/society/stock markets etc.
Most of us look at charts in a linear fashion. Like, say for example, we are looking at them from a time frame perspective. But those charts are not dependent on time and so a linear math formula cannot be derived. That drives us to the concept of probability. That's why we draw trend lines and trend channel lines etc. as we assume the distribution of data to be in that range.
With further development in artificial intelligence, the applications of chaos theory can advance further to throw new perspective on stock markets. Then we can see a paradigm shift in our charting methods.
Nonlinear regression analysis solves the problem you are describing. What sort of tools that fall under the category of "chaos theory" have you used with market data?
