[auto] Update DeePM model weights and signals

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models/meta_optionA_window.json

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 {
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models/meta_optionB.json

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models/meta_optionB_window.json

@@ -1,14 +1,14 @@
 {
   "option": "B",
-  "trained_at": "2026-05-20T06:56:23.264346",
-  "elapsed_sec": 5571.2,
+  "trained_at": "2026-05-21T07:03:12.136363",
+  "elapsed_sec": 5178.3,
   "n_windows": 8,
-  "winning_window": 4,
-  "winning_train_start": "2014-01-01",
+  "winning_window": 5,
+  "winning_train_start": "2016-01-01",
   "winning_train_end": "2024-12-31",
   "winning_loss": "sharpe",
-  "oos_ann_return": 0.8107,
-  "oos_sharpe": 2.5851,
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+  "oos_sharpe": 2.3186,
   "all_windows": [
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       "window_id": 1,
@@ -17,9 +17,9 @@
       "oos_start": "2025-01-01",
       "loss_fn": "evar",
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       "model_path": "models/deepm_optionB_w1_evar.pt"
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models/scaler_optionA.pkl

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models/scaler_optionA_window.pkl

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models/scaler_optionB.pkl

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models/scaler_optionB_window.pkl

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