feat: extend take-profit sweep into the tail + clarify it ignores the target
Avg R was still rising at the previous top level (+15%), so the optimum was off the table. Extend TP_LEVELS to 20/25/30% to reveal where letting winners run stops paying (it plateaus toward "just hold to the horizon close"). Also clarify in the panel that the take-profit model deliberately does NOT use the setup's S/R target — it's a standalone fixed-% exit; exiting at the target is the target-vs-stop model above. The two are complementary ends, not in conflict. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@@ -322,7 +322,10 @@ def _bucket_stats(cands: list[dict]) -> dict:
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# Fixed take-profit levels (fractions) swept for the take-profit exit model.
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TP_LEVELS = (0.04, 0.06, 0.08, 0.10, 0.12, 0.15)
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# Extended into the tail so the avg-R peak/plateau is visible (it's where letting
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# winners run stops paying). Note: this model ignores the setup's S/R target —
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# it's a standalone fixed-% exit; exiting at the target is the target model.
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TP_LEVELS = (0.04, 0.06, 0.08, 0.10, 0.12, 0.15, 0.20, 0.25, 0.30)
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def _take_profit_bucket(cands: list[dict], tp: float) -> dict:
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