Best model: CFG_XAG_ASIAN_V6/run_20260601_215137_v6_asian

workspaces/CFG_XAG_ASIAN_V6/runs/run_20260601_215137_v6_asian/results/train_v3.log

@@ -33,3 +33,14 @@
 [Epoch 12] Loss(MSE:0.1753/CE:0.9671) | LR=3.81e-06 | Val V6 Simulator Score [0.000] - Loss(MSE:0.0170/CE:0.6678) |   >=53%: WR=28.6% | Score=0.000 | N=35 (0B/35S Bal:0.00) | >=54%: WR=32.3% | Score=0.000 | N=31 (0B/31S Bal:0.00) | >=55%: WR=33.3% | Score=0.000 | N=27 (0B/27S Bal:0.00) | >=56%: WR=26.7% | Score=0.000 | N=15 (0B/15S Bal:0.00)
   [ARGO2] MO HINH HOI TU TOT NHAT! Val CE Loss = 0.6840 (WR: 33.3%). Luu model...
 [21:53:37] PUSH RUN: run_20260601_215137_v6_asian -> HF (new/changed files only)...
+[21:53:38] ✔️ Push run run_20260601_215137_v6_asian hoàn tất!
+[Epoch 13] Loss(MSE:0.1752/CE:0.9674) | LR=2.62e-06 | Val V6 Simulator Score [0.082] - Loss(MSE:0.0167/CE:0.6819) |   >=53%: WR=32.3% | Score=0.000 | N=31 (0B/31S Bal:0.00) | >=54%: WR=35.7% | Score=0.181 | N=28 (0B/28S Bal:0.00) | >=54%: WR=37.5% | Score=0.245 | N=24 (0B/24S Bal:0.00) | >=55%: WR=29.4% | Score=0.000 | N=17 (0B/17S Bal:0.00)
+  Luu y: Score/WR tang (Score: 0.0816) nhung Loss khong giam (0.6977). Bo qua viec save model.
+[Epoch 14] Loss(MSE:0.1744/CE:0.9637) | LR=1.73e-06 | Val V6 Simulator Score [0.124] - Loss(MSE:0.0169/CE:0.6753) |   >=53%: WR=32.3% | Score=0.000 | N=31 (0B/31S Bal:0.00) | >=54%: WR=37.0% | Score=0.272 | N=27 (0B/27S Bal:0.00) | >=54%: WR=37.5% | Score=0.245 | N=24 (0B/24S Bal:0.00) | >=55%: WR=35.0% | Score=0.063 | N=20 (0B/20S Bal:0.00)
+  Luu y: Score/WR tang (Score: 0.1239) nhung Loss khong giam (0.6914). Bo qua viec save model.
+[Epoch 15] Loss(MSE:0.1745/CE:0.9644) | LR=1.19e-06 | Val V6 Simulator Score [0.000] - Loss(MSE:0.0170/CE:0.6731) |   >=53%: WR=33.3% | Score=0.000 | N=30 (0B/30S Bal:0.00) | >=54%: WR=34.8% | Score=0.073 | N=23 (0B/23S Bal:0.00) | >=55%: WR=14.3% | Score=0.000 | N=14 (0B/14S Bal:0.00) | >=56%: WR=0.0% | Score=0.000 | N=7 (0B/7S Bal:0.00)
+[Epoch 16] Loss(MSE:0.1743/CE:0.9676) | LR=1.80e-05 | Val V6 Simulator Score [0.000] - Loss(MSE:0.0157/CE:0.7034) |   >=53%: WR=36.0% | Score=0.914 | N=25 (18B/7S Bal:0.39) | >=54%: WR=14.3% | Score=0.000 | N=7 (6B/1S Bal:0.17) | >=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)
+[Epoch 17] Loss(MSE:0.1731/CE:0.9669) | LR=1.80e-05 | Val V6 Simulator Score [0.000] - Loss(MSE:0.0167/CE:0.6759) |   >=53%: WR=26.7% | Score=0.000 | N=60 (0B/60S Bal:0.00) | >=54%: WR=30.4% | Score=0.000 | N=46 (0B/46S Bal:0.00) | >=54%: WR=25.7% | Score=0.000 | N=35 (0B/35S Bal:0.00) | >=55%: WR=27.6% | Score=0.000 | N=29 (0B/29S Bal:0.00)
+[Epoch 18] Loss(MSE:0.1723/CE:0.9659) | LR=1.78e-05 | Val V6 Simulator Score [0.000] - Loss(MSE:0.0167/CE:0.6498) |   >=53%: WR=0.0% | Score=0.000 | N=3 (0B/3S 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)
+  [ARGO2] MO HINH HOI TU TOT NHAT! Val CE Loss = 0.6656 (WR: 0.0%). Luu model...
+[21:53:59] PUSH RUN: run_20260601_215137_v6_asian -> HF (new/changed files only)...

workspaces/CFG_XAG_ASIAN_V6/runs/run_20260601_215137_v6_asian/results/training_metrics_v3.json

@@ -8,65 +8,65 @@
     "sessions": {
         "asian": {
             "BEST_VLOSS": {
-                "epoch": 12,
+                "epoch": 18,
                 "max_threshold": 0.56,
                 "composite_score": 0.0,
-                "val_loss": 0.6848090184877996,
+                "val_loss": 0.6664595261012038,
                 "threshold_metrics": [
                     {
                         "threshold": 0.53,
-                        "total_signals": 35,
-                        "win_rate": 0.2857142857142857,
+                        "total_signals": 3,
+                        "win_rate": 0.0,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
                         "ev_score": 0.0,
                         "sharpe_score": 0.0,
                         "tus_score": 0.0,
                         "total_buy": 0,
-                        "total_sell": 35
+                        "total_sell": 3
                     },
                     {
                         "threshold": 0.54,
-                        "total_signals": 31,
-                        "win_rate": 0.3225806451612903,
+                        "total_signals": 0,
+                        "win_rate": 0.0,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
                         "ev_score": 0.0,
                         "sharpe_score": 0.0,
                         "tus_score": 0.0,
                         "total_buy": 0,
-                        "total_sell": 31
+                        "total_sell": 0
                     },
                     {
                         "threshold": 0.55,
-                        "total_signals": 27,
-                        "win_rate": 0.3333333333333333,
+                        "total_signals": 0,
+                        "win_rate": 0.0,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
                         "ev_score": 0.0,
                         "sharpe_score": 0.0,
                         "tus_score": 0.0,
                         "total_buy": 0,
-                        "total_sell": 27
+                        "total_sell": 0
                     },
                     {
                         "threshold": 0.56,
-                        "total_signals": 15,
-                        "win_rate": 0.26666666666666666,
+                        "total_signals": 0,
+                        "win_rate": 0.0,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
                         "ev_score": 0.0,
                         "sharpe_score": 0.0,
                         "tus_score": 0.0,
                         "total_buy": 0,
-                        "total_sell": 15
+                        "total_sell": 0
                     }
                 ],
                 "win_rates": [
-                    0.2857142857142857,
-                    0.3225806451612903,
-                    0.3333333333333333,
-                    0.26666666666666666
+                    0.0,
+                    0.0,
+                    0.0,
+                    0.0
                 ],
                 "thresholds": [
                     0.53,
@@ -75,10 +75,10 @@
                     0.56
                 ],
                 "totals": [
-                    35,
-                    31,
-                    27,
-                    15
+                    3,
+                    0,
+                    0,
+                    0
                 ]
             }
         }