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Backtest-derived calibration for the breakout and divergence labels rendered on /convergence. Hit = a published signal landed for that entity within 24h of the label being computed. Generated by scripts/backtest-convergence-labels.py; re-run to refresh.
| label | n | hits | rate | lift | vs baseline |
|---|---|---|---|---|---|
breakout ≥3 sources fire AND attention surging ≥15% — mainstream catching up | 7 | 0 | 0.0% | — | |
divergence ≥3 sources fire AND attention dropping — pre-news lead-time | 23 | 0 | 0.0% | — | |
unlabeled-converged ≥3 sources fire but no attention trend / flat — the residual | 31 | 0 | 0.0% | — |
Bar: solid = label hit-rate, vertical tick = baseline. To the right of the tick means the label produces signal above what you'd get from any converged entity at random.