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

@@ -186,3 +186,8 @@
   ?? ?ang PUSH run run_20260519_224700_v5_ny_alpha_momentum_sniper l?n HF (Background)...
 [22:48:58] PUSH RUN: run_20260519_224700_v5_ny_alpha_momentum_sniper -> HF (new/changed files only)...
 [22:48:58] ?? Push run run_20260519_224700_v5_ny_alpha_momentum_sniper ho?n t?t!
+[Epoch 138] Loss(MSE:2.7217/CE:0.0289) | LR=8.51e-06 | Val V3 Score [0.538] - Loss(MSE:3.5538/CE:-3.1091) |   >=53%: WR=33.3% | Score=0.333 | N=33 (2B/31S Bal:0.06) | >=54%: WR=35.5% | Score=0.355 | N=31 (1B/30S Bal:0.03) | >=55%: WR=56.5% | Score=0.565 | N=23 (1B/22S Bal:0.05) | >=56%: WR=50.0% | Score=0.500 | N=16 (1B/15S Bal:0.07)
+  ? [ARGO2] ??NH M?I! Composite Score = 0.5380. L?u model...
+  ? ?? g?i bi?u ?? Telegram cho Epoch 138.
+  ?? ?ang PUSH run run_20260519_224700_v5_ny_alpha_momentum_sniper l?n HF (Background)...
+[22:49:01] PUSH RUN: run_20260519_224700_v5_ny_alpha_momentum_sniper -> HF (new/changed files only)...

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

@@ -8,61 +8,61 @@
     "sessions": {
         "ny": {
             "BEST_VLOSS": {
-                "epoch": 137,
+                "epoch": 138,
                 "max_threshold": 0.56,
-                "composite_score": 0.5126262626262627,
-                "val_loss": 0.43339802859270055,
+                "composite_score": 0.5380434782608695,
+                "val_loss": 0.44467795300094975,
                 "threshold_metrics": [
                     {
                         "threshold": 0.53,
-                        "total_signals": 36,
-                        "win_rate": 0.3888888888888889,
+                        "total_signals": 33,
+                        "win_rate": 0.3333333333333333,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
-                        "ev_score": 0.3888888888888889,
+                        "ev_score": 0.3333333333333333,
                         "sharpe_score": 0.0,
-                        "total_buy": 18,
-                        "total_sell": 18
+                        "total_buy": 16,
+                        "total_sell": 17
                     },
                     {
                         "threshold": 0.54,
-                        "total_signals": 29,
-                        "win_rate": 0.4482758620689655,
+                        "total_signals": 31,
+                        "win_rate": 0.3548387096774194,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
-                        "ev_score": 0.4482758620689655,
+                        "ev_score": 0.3548387096774194,
                         "sharpe_score": 0.0,
-                        "total_buy": 14,
-                        "total_sell": 15
+                        "total_buy": 15,
+                        "total_sell": 16
                     },
                     {
                         "threshold": 0.55,
-                        "total_signals": 22,
-                        "win_rate": 0.5454545454545454,
+                        "total_signals": 23,
+                        "win_rate": 0.5652173913043478,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
-                        "ev_score": 0.5454545454545454,
+                        "ev_score": 0.5652173913043478,
                         "sharpe_score": 0.0,
                         "total_buy": 11,
-                        "total_sell": 11
+                        "total_sell": 12
                     },
                     {
                         "threshold": 0.56,
-                        "total_signals": 15,
-                        "win_rate": 0.4666666666666667,
+                        "total_signals": 16,
+                        "win_rate": 0.5,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
-                        "ev_score": 0.4666666666666667,
+                        "ev_score": 0.5,
                         "sharpe_score": 0.0,
-                        "total_buy": 7,
+                        "total_buy": 8,
                         "total_sell": 8
                     }
                 ],
                 "win_rates": [
-                    0.3888888888888889,
-                    0.4482758620689655,
-                    0.5454545454545454,
-                    0.4666666666666667
+                    0.3333333333333333,
+                    0.3548387096774194,
+                    0.5652173913043478,
+                    0.5
                 ],
                 "thresholds": [
                     0.53,
@@ -71,10 +71,10 @@
                     0.56
                 ],
                 "totals": [
-                    36,
-                    29,
-                    22,
-                    15
+                    33,
+                    31,
+                    23,
+                    16
                 ]
             }
         }