FTO learns from outcomes across the whole dataset. Scorecard learns from yours: the opportunities you evaluate, the probabilities you accept, the expiries and structures you keep coming back to.
Strong and weak, separately
Most traders are not uniformly good or bad — they are good at a few situations and worse at others. Scorecard is built to separate those rather than collapse everything into one number.
It compounds
A single decision says almost nothing. A few hundred start to show shape: whether your judgement is improving, where it drifts, and which setups you should probably stop taking.
What you see
Your decisions grouped by the things that actually distinguish them — setup type, probability accepted, days to expiry, volatility environment — with how each group has gone. Where the record is too thin to say anything, it says that instead of guessing.
Reviewed
Decision quality by setup
Grouped by probability, expiry and structure
Where it sits
Scorecard is the learning step, and the only part of DeriveAI that gets more useful the longer you use it.