What does weak-spot tracking do?
The platform watches what you keep getting wrong and biases tomorrow's drills toward those concepts. One-on-one tutoring at scale.
Every drill you take is tagged against the concepts it tests. Liquidity sweeps, risk sizing, pullback structure, session bias, and so on. When you get a drill wrong, the concepts attached to that drill move up the queue. Tomorrow's session has more drills on those concepts.
The mechanism is similar to a flashcard scheduler, but per-concept and per-learner. Each concept has its own decay rate the platform is estimating in real time. Concepts you're strong on thin out. Concepts you keep missing get hammered until they don't.
Why this matters
Bloom's 1984 research compared classroom instruction with one-on-one tutoring and found tutoring produced outcomes two standard deviations higher. The reason was the feedback loop: a tutor identifies gaps in real time and addresses them. Weak-spot tracking is the algorithmic version of that loop.
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