Why a shortlist is useful
Different stocks have different prices, volatility and market environments. Looking at them one by one makes comparison difficult. The ranking gives every setup the same evaluation process, so the user can decide where to spend attention first.
The score answers “which setup fits these rules better?” — not “what happens next?”
What goes into the comparison
The model keeps four questions separate:
- Direction: does the larger trend support a long or short setup?
- Evidence: how many useful market conditions are present now?
- Risk: is there a clear boundary where the idea becomes invalid?
- Room: is there enough space to a reasonable first objective?
Two setups can reach a similar score for different reasons. That is why the terminal keeps the underlying signals and risk map visible instead of showing a number without context.
Then the environment is added
A technically interesting setup can still sit inside an unfriendly market or sector. The model therefore adds broader context after the base setup exists. Context can strengthen or weaken the priority, but it cannot invent a setup that was not there.
A high number is not enough
The final label checks that direction, evidence, risk and objective still make sense together. A strong score cannot repair a missing boundary or a setup with nowhere reasonable to go.
What the ranking cannot do
The ranking depends on its data and rules. Change either one and the order can change. Historical tests can show how the process behaved in the past, but they cannot certify a future result.
The value is practical: a consistent model can scan far more stocks than one person and return a manageable list with the reasoning still attached.