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

@@ -180,3 +180,9 @@
   ?? ?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!
+[Epoch 137] Loss(MSE:2.7620/CE:0.0336) | LR=8.60e-06 | Val V3 Score [0.513] - Loss(MSE:3.5857/CE:-3.1523) |   >=53%: WR=38.9% | Score=0.389 | N=36 (2B/34S Bal:0.06) | >=54%: WR=44.8% | Score=0.448 | N=29 (1B/28S Bal:0.04) | >=55%: WR=54.5% | Score=0.545 | N=22 (1B/21S Bal:0.05) | >=56%: WR=46.7% | Score=0.467 | N=15 (1B/14S Bal:0.07)
+  ? [ARGO2] ??NH M?I! Composite Score = 0.5126. L?u model...
+  ? ?? g?i bi?u ?? Telegram cho Epoch 137.
+  ?? ?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!

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

@@ -8,21 +8,21 @@
     "sessions": {
         "ny": {
             "BEST_VLOSS": {
-                "epoch": 136,
+                "epoch": 137,
                 "max_threshold": 0.56,
-                "composite_score": 0.5,
-                "val_loss": 0.42336942903373553,
+                "composite_score": 0.5126262626262627,
+                "val_loss": 0.43339802859270055,
                 "threshold_metrics": [
                     {
                         "threshold": 0.53,
-                        "total_signals": 38,
-                        "win_rate": 0.39473684210526316,
+                        "total_signals": 36,
+                        "win_rate": 0.3888888888888889,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
-                        "ev_score": 0.39473684210526316,
+                        "ev_score": 0.3888888888888889,
                         "sharpe_score": 0.0,
-                        "total_buy": 19,
-                        "total_sell": 19
+                        "total_buy": 18,
+                        "total_sell": 18
                     },
                     {
                         "threshold": 0.54,
@@ -38,31 +38,31 @@
                     {
                         "threshold": 0.55,
                         "total_signals": 22,
-                        "win_rate": 0.5,
+                        "win_rate": 0.5454545454545454,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
-                        "ev_score": 0.5,
+                        "ev_score": 0.5454545454545454,
                         "sharpe_score": 0.0,
                         "total_buy": 11,
                         "total_sell": 11
                     },
                     {
                         "threshold": 0.56,
-                        "total_signals": 16,
-                        "win_rate": 0.5,
+                        "total_signals": 15,
+                        "win_rate": 0.4666666666666667,
                         "avg_win_return": 0.001,
                         "avg_loss_return": 0.001,
-                        "ev_score": 0.5,
+                        "ev_score": 0.4666666666666667,
                         "sharpe_score": 0.0,
-                        "total_buy": 8,
+                        "total_buy": 7,
                         "total_sell": 8
                     }
                 ],
                 "win_rates": [
-                    0.39473684210526316,
+                    0.3888888888888889,
                     0.4482758620689655,
-                    0.5,
-                    0.5
+                    0.5454545454545454,
+                    0.4666666666666667
                 ],
                 "thresholds": [
                     0.53,
@@ -71,10 +71,10 @@
                     0.56
                 ],
                 "totals": [
-                    38,
+                    36,
                     29,
                     22,
-                    16
+                    15
                 ]
             }
         }