A condition, not a prediction
Invalidation answers a narrow question: what observable market condition would make this setup structurally incoherent? It does not say that price will reach that level, nor does it estimate what happens afterwards.
A testable hypothesis defines its failure condition before the outcome is known.
Without a boundary, the original explanation can be changed after every movement. With a boundary, the same rule can be evaluated consistently across observations.
Several candidates can exist
A chart can contain multiple structural references. Moving-average structure, volume structure and volatility structure may all produce candidates. The system evaluates the references that sit on the correct side of price and selects the nearest valid boundary according to its rule hierarchy.
The word “nearest” matters because moving a boundary selectively changes the apparent risk after the fact. A consistent hierarchy reduces that discretion.
Risk/reward starts after the map
The ratio is not the first step. The system first identifies a valid invalidation reference and a valid structural objective. It then measures both distances from the same close:
- risk distance: close to structural invalidation;
- reward distance: close to first valid objective;
- risk/reward: reward distance divided by risk distance.
The resulting number describes geometry. It still does not attach a probability to either side of the map.
Why the boundary belongs beside the rank
A high rank without a coherent risk map is incomplete. Final classification therefore reads several gates together: directional coherence, objective availability, ranking quality, payoff geometry and veto conditions. No single metric should bypass a missing structural reference.