AI Layer
›7. Threshold Tuning
7. Threshold Tuning
Scoring weights that improve instead of decaying.
The loop
Continuously backtests and recalibrates scoring weights against realized outcomes, so risk thresholds improve automatically instead of decaying as market structure shifts.
The critical path
Calibration, not code, is the bottleneck
Two to three weeks of historical data is needed before scores can be trusted — which is why data collection starts before the rest of the product ships. See Build Feasibility.
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