Chartfluence

Chartfluence began with an interest in how traders organise price and time. Gann’s historical methods offer a particularly distinctive way of doing that: geometric relationships, cycles, and levels derived from a chosen starting point. I wanted to explore those ideas in a form where the reasoning behind a level could be inspected.

The difficulty with a visual method is that a finished chart gives the observer considerable freedom. A line can be moved, an anchor can be changed, and a scale can be adjusted until the result appears persuasive. Once the turning point is known, it becomes much easier to find a construction that seems to explain it. That flexibility needs to be part of the research question.

Chartfluence brings the Square of Nine, price-time relationships, and documented overlays into the same view across a set of macro instruments. For me, the useful part is being able to connect a displayed level to the rule and starting point that produced it. That connection makes the claim specific enough to question.

Consider two levels arriving near the same price. Their agreement may look compelling, but it matters whether they come from independent reasoning or are different expressions of the same input. Counting both as separate confirmation could create a stronger impression than the evidence supports. The meaning of “confluence” depends on how the apparent agreements were formed.

I approach these methods as hypotheses about market behaviour. A promising construction should be examined in other periods and under rules chosen before the outcome is visible. It should also be compared with ordinary alternatives. A chart that looks convincing after the fact provides a reason to investigate, with the question of predictive value still open.

The project’s value to my own research is the discipline of making a visual idea explicit. I can ask where a date or level came from, how sensitive it is to the starting point, and what would count as a failed expectation. The same questions apply to much more conventional financial models.

Markets attract explanatory stories because their history offers so many patterns to choose from. Chartfluence is a way for me to explore one family of those ideas while keeping the choices behind the picture visible. I am interested in the point at which an appealing interpretation becomes a proposition that can be examined fairly.