Add GTL strength confirmation sensitivity
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@@ -879,6 +879,33 @@ matrix before any research arm is accepted.
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backtest_snapshots/prod.sqlite --workers 12
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```
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Result: **13/13 arms completed with exact control parity; no arm passed all six
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guardrails.** The decomposition does identify one near-hit:
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| Arm | Full Sharpe | Train | Post-2024 | CAGR | Max DD | Trades |
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|---|---:|---:|---:|---:|---:|---:|
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| Control | 2.03 | 1.28 | 2.78 | 50.0% | 21.4% | 321 |
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| Strength-1000 intersection | **2.06** | **1.30** | **2.82** | **50.7%** | 21.7% | 316 |
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Strength confirmation removes only 49 of 1,086 qualified control setups. Those
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removed setups average +0.142R, but turn negative after removing their largest
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5% of outcomes (-0.044R); the retained 1,037 average +0.212R and +0.054R
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ex-top-5%. This is consistent with a weak tail-dependence filter. It is not yet
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a winner: the original drawdown guardrail remains fixed, and 21.7% is worse
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than 21.4% even though the difference is small.
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The final parameter test is therefore deliberately one-dimensional. It sweeps
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coarse strength scales around 1000 (625, 750, 875, 1000, 1125, 1250, 1500,
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2000), using intersection only. It must reproduce both the frozen control and
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the completed strength-1000 result exactly. Promotion requires at least two
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adjacent non-control scales to pass all six original checks; an isolated winner
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is rejected as sensitivity.
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```bash
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.venv/bin/python scripts/run_gtl_strength_sensitivity.py \
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backtest_snapshots/prod.sqlite --workers 12
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```
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The post-2024 window has been opened and is now analysis data, not a valid final
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promotion holdout. These arms can isolate mechanism, but neither may ship without
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new future data or a separately pre-registered walk-forward protocol.
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