Best model: CFG_XAG_NY_V5/run_20260519_224700_v5_ny_alpha_momentum_sniper

workspaces/CFG_XAG_NY_V5/runs/run_20260519_224700_v5_ny_alpha_momentum_sniper/results/train_v3.log

@@ -174,3 +174,9 @@
   ? ?? g?i bi?u ?? Telegram cho Epoch 135.
   ?? ?ang PUSH run run_20260519_224700_v5_ny_alpha_momentum_sniper l?n HF (Background)...
 [22:48:51] PUSH RUN: run_20260519_224700_v5_ny_alpha_momentum_sniper -> HF (new/changed files only)...
+[Epoch 136] Loss(MSE:2.7879/CE:0.0199) | LR=8.68e-06 | Val V3 Score [0.500] - Loss(MSE:3.6148/CE:-3.1914) |   >=53%: WR=39.5% | Score=0.395 | N=38 (2B/36S Bal:0.06) | >=54%: WR=44.8% | Score=0.448 | N=29 (1B/28S Bal:0.04) | >=55%: WR=50.0% | Score=0.500 | N=22 (1B/21S Bal:0.05) | >=56%: WR=50.0% | Score=0.500 | N=16 (1B/15S Bal:0.07)
+  ? [ARGO2] ??NH M?I! Composite Score = 0.5000. L?u model...
+  ? ?? g?i bi?u ?? Telegram cho Epoch 136.
+  ?? ?ang PUSH run run_20260519_224700_v5_ny_alpha_momentum_sniper l?n HF (Background)...
+[22:48:54] PUSH RUN: run_20260519_224700_v5_ny_alpha_momentum_sniper -> HF (new/changed files only)...
+[22:48:54] ?? Push run run_20260519_224700_v5_ny_alpha_momentum_sniper ho?n t?t!

workspaces/CFG_XAG_NY_V5/runs/run_20260519_224700_v5_ny_alpha_momentum_sniper/results/training_metrics_v3.json

@@ -8,60 +8,60 @@
     "sessions": {
         "ny": {
             "BEST_VLOSS": {
-                "epoch": 135,
+                "epoch": 136,
                 "max_threshold": 0.56,
-                "composite_score": 0.48611111111111105,
-                "val_loss": 0.43993448263601115,
+                "composite_score": 0.5,
+                "val_loss": 0.42336942903373553,
                 "threshold_metrics": [
                     {
                         "threshold": 0.53,
-                        "total_signals": 35,
-                        "win_rate": 0.42857142857142855,
+                        "total_signals": 38,
+                        "win_rate": 0.39473684210526316,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
-                        "ev_score": 0.42857142857142855,
+                        "ev_score": 0.39473684210526316,
                         "sharpe_score": 0.0,
-                        "total_buy": 17,
-                        "total_sell": 18
+                        "total_buy": 19,
+                        "total_sell": 19
                     },
                     {
                         "threshold": 0.54,
-                        "total_signals": 26,
-                        "win_rate": 0.5384615384615384,
+                        "total_signals": 29,
+                        "win_rate": 0.4482758620689655,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
-                        "ev_score": 0.5384615384615384,
+                        "ev_score": 0.4482758620689655,
                         "sharpe_score": 0.0,
-                        "total_buy": 13,
-                        "total_sell": 13
+                        "total_buy": 14,
+                        "total_sell": 15
                     },
                     {
                         "threshold": 0.55,
-                        "total_signals": 21,
-                        "win_rate": 0.47619047619047616,
+                        "total_signals": 22,
+                        "win_rate": 0.5,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
-                        "ev_score": 0.47619047619047616,
+                        "ev_score": 0.5,
                         "sharpe_score": 0.0,
-                        "total_buy": 10,
+                        "total_buy": 11,
                         "total_sell": 11
                     },
                     {
                         "threshold": 0.56,
-                        "total_signals": 14,
+                        "total_signals": 16,
                         "win_rate": 0.5,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
                         "ev_score": 0.5,
                         "sharpe_score": 0.0,
-                        "total_buy": 7,
-                        "total_sell": 7
+                        "total_buy": 8,
+                        "total_sell": 8
                     }
                 ],
                 "win_rates": [
-                    0.42857142857142855,
-                    0.5384615384615384,
-                    0.47619047619047616,
+                    0.39473684210526316,
+                    0.4482758620689655,
+                    0.5,
                     0.5
                 ],
                 "thresholds": [
@@ -71,10 +71,10 @@
                     0.56
                 ],
                 "totals": [
-                    35,
-                    26,
-                    21,
-                    14
+                    38,
+                    29,
+                    22,
+                    16
                 ]
             }
         }