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

@@ -164,3 +164,13 @@
   ? ?? g?i bi?u ?? Telegram cho Epoch 130.
   ?? ?ang PUSH run run_20260519_224700_v5_ny_alpha_momentum_sniper l?n HF (Background)...
 [22:48:42] PUSH RUN: run_20260519_224700_v5_ny_alpha_momentum_sniper -> HF (new/changed files only)...
+[Epoch 131] Loss(MSE:2.8841/CE:0.0239) | LR=9.07e-06 | Val V3 Score [0.394] - Loss(MSE:3.7591/CE:-3.3535) |   >=53%: WR=48.5% | Score=0.485 | N=33 (3B/30S Bal:0.10) | >=54%: WR=45.8% | Score=0.458 | N=24 (2B/22S Bal:0.09) | >=55%: WR=42.1% | Score=0.421 | N=19 (1B/18S Bal:0.06) | >=56%: WR=41.7% | Score=0.357 | N=12 (1B/11S Bal:0.09)
+[Epoch 132] Loss(MSE:4.7153/CE:0.0367) | LR=9.00e-06 | Val V3 Score [0.000] - Loss(MSE:3.7310/CE:-3.4012) |   >=53%: WR=0.0% | Score=0.000 | N=0 (0B/0S Bal:0.00) | >=54%: WR=0.0% | Score=0.000 | N=0 (0B/0S Bal:0.00) | >=55%: WR=0.0% | Score=0.000 | N=0 (0B/0S Bal:0.00) | >=56%: WR=0.0% | Score=0.000 | N=0 (0B/0S Bal:0.00)
+[22:48:45] ?? Push run run_20260519_224700_v5_ny_alpha_momentum_sniper ho?n t?t!
+[Epoch 133] Loss(MSE:4.9247/CE:0.0125) | LR=8.92e-06 | Val V3 Score [0.113] - Loss(MSE:3.6992/CE:-3.3516) |   >=53%: WR=26.7% | Score=0.267 | N=15 (0B/15S Bal:0.00) | >=54%: WR=30.0% | Score=0.214 | N=10 (0B/10S Bal:0.00) | >=55%: WR=40.0% | Score=0.143 | N=5 (0B/5S Bal:0.00) | >=56%: WR=50.0% | Score=0.071 | N=2 (0B/2S Bal:0.00)
+[Epoch 134] Loss(MSE:4.6349/CE:0.0496) | LR=8.84e-06 | Val V3 Score [0.185] - Loss(MSE:3.6740/CE:-3.3206) |   >=53%: WR=45.5% | Score=0.455 | N=22 (0B/22S Bal:0.00) | >=54%: WR=37.5% | Score=0.375 | N=16 (0B/16S Bal:0.00) | >=55%: WR=27.3% | Score=0.214 | N=11 (0B/11S Bal:0.00) | >=56%: WR=50.0% | Score=0.143 | N=4 (0B/4S Bal:0.00)
+[Epoch 135] Loss(MSE:2.7877/CE:0.0259) | LR=8.76e-06 | Val V3 Score [0.486] - Loss(MSE:3.6420/CE:-3.2021) |   >=53%: WR=42.9% | Score=0.429 | N=35 (2B/33S Bal:0.06) | >=54%: WR=53.8% | Score=0.538 | N=26 (2B/24S Bal:0.08) | >=55%: WR=47.6% | Score=0.476 | N=21 (1B/20S Bal:0.05) | >=56%: WR=50.0% | Score=0.500 | N=14 (1B/13S Bal:0.08)
+  ? [ARGO2] ??NH M?I! Composite Score = 0.4861. L?u model...
+  ? ?? 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)...

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": 130,
+                "epoch": 135,
                 "max_threshold": 0.56,
-                "composite_score": 0.46229166666666666,
-                "val_loss": 0.38536364204533724,
+                "composite_score": 0.48611111111111105,
+                "val_loss": 0.43993448263601115,
                 "threshold_metrics": [
                     {
                         "threshold": 0.53,
-                        "total_signals": 39,
-                        "win_rate": 0.358974358974359,
+                        "total_signals": 35,
+                        "win_rate": 0.42857142857142855,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
-                        "ev_score": 0.358974358974359,
+                        "ev_score": 0.42857142857142855,
                         "sharpe_score": 0.0,
-                        "total_buy": 19,
-                        "total_sell": 20
+                        "total_buy": 17,
+                        "total_sell": 18
                     },
                     {
                         "threshold": 0.54,
-                        "total_signals": 31,
-                        "win_rate": 0.3870967741935484,
+                        "total_signals": 26,
+                        "win_rate": 0.5384615384615384,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
-                        "ev_score": 0.3870967741935484,
+                        "ev_score": 0.5384615384615384,
                         "sharpe_score": 0.0,
-                        "total_buy": 15,
-                        "total_sell": 16
+                        "total_buy": 13,
+                        "total_sell": 13
                     },
                     {
                         "threshold": 0.55,
-                        "total_signals": 25,
-                        "win_rate": 0.48,
+                        "total_signals": 21,
+                        "win_rate": 0.47619047619047616,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
-                        "ev_score": 0.48,
+                        "ev_score": 0.47619047619047616,
                         "sharpe_score": 0.0,
-                        "total_buy": 12,
-                        "total_sell": 13
+                        "total_buy": 10,
+                        "total_sell": 11
                     },
                     {
                         "threshold": 0.56,
-                        "total_signals": 16,
-                        "win_rate": 0.4375,
+                        "total_signals": 14,
+                        "win_rate": 0.5,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
-                        "ev_score": 0.4375,
+                        "ev_score": 0.5,
                         "sharpe_score": 0.0,
-                        "total_buy": 8,
-                        "total_sell": 8
+                        "total_buy": 7,
+                        "total_sell": 7
                     }
                 ],
                 "win_rates": [
-                    0.358974358974359,
-                    0.3870967741935484,
-                    0.48,
-                    0.4375
+                    0.42857142857142855,
+                    0.5384615384615384,
+                    0.47619047619047616,
+                    0.5
                 ],
                 "thresholds": [
                     0.53,
@@ -71,10 +71,10 @@
                     0.56
                 ],
                 "totals": [
-                    39,
-                    31,
-                    25,
-                    16
+                    35,
+                    26,
+                    21,
+                    14
                 ]
             }
         }