Update draws, retrain models and generate tips for Jun 13-24 draws

- Added 2026-06-13, 06-17, 06-20, 06-24 draws (3137 total)
- Learning cycles completed via automated LaunchAgent runs
- Retrained RF + LSTM models on updated dataset
- Generated fresh tips: weekly_lotto_tips_20260626_141135.csv

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

data/AlleLottozahlen.csv

@@ -3131,3 +3131,8 @@ datum;Z1;Z2;Z3;Z4;Z5;Z6;SZ
 2026-05-30;3;10;14;27;41;48;2
 2026-06-03;4;6;24;26;41;44;9
 2026-06-06;8;16;17;23;30;32;8
+2026-06-10;11;15;16;28;39;42;7
+2026-06-13;4;13;16;20;24;43;8
+2026-06-17;3;4;20;26;27;39;9
+2026-06-20;2;8;13;15;27;35;3
+2026-06-24;25;36;40;43;44;49;3

data/generated_tips/generation_history.json

@@ -447,6 +447,41 @@
       "file": "weekly_lotto_tips_20260610_133243.csv",
       "avg_confidence": 0.5643409470927386,
       "avg_quality": 0.6788503626336448
+    },
+    {
+      "timestamp": "2026-06-12T21:00:19.242607",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260612_210019.csv",
+      "avg_confidence": 0.5643409470927386,
+      "avg_quality": 0.6788503626336448
+    },
+    {
+      "timestamp": "2026-06-16T21:00:21.817384",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260616_210021.csv",
+      "avg_confidence": 0.4265105486853063,
+      "avg_quality": 0.6094771570746529
+    },
+    {
+      "timestamp": "2026-06-19T21:00:45.661320",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260619_210045.csv",
+      "avg_confidence": 0.4703862476759107,
+      "avg_quality": 0.6061265325201741
+    },
+    {
+      "timestamp": "2026-06-23T21:00:21.614489",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260623_210021.csv",
+      "avg_confidence": 0.42347173600996857,
+      "avg_quality": 0.6000110286090844
+    },
+    {
+      "timestamp": "2026-06-26T14:11:35.368485",
+      "num_tips": 10,
+      "file": "weekly_lotto_tips_20260626_141135.csv",
+      "avg_confidence": 0.5219070441007705,
+      "avg_quality": 0.6255187268545161
     }
   ]
 }

data/learning_log.json

@@ -662,6 +662,71 @@
         "main": 1.0,
         "sz_rate": 0.0
       }
+    },
+    {
+      "timestamp": "2026-06-13T20:00:52.668840",
+      "draw_date": "2026-06-10",
+      "evaluation": {
+        "main": 1,
+        "sz": true,
+        "tip": 7
+      },
+      "avg_matches": {
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+        "sz_rate": 0.1
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+    {
+      "timestamp": "2026-06-17T20:00:52.387438",
+      "draw_date": "2026-06-13",
+      "evaluation": {
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+        "tip": 1
+      },
+      "avg_matches": {
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+      }
+    },
+    {
+      "timestamp": "2026-06-20T20:15:32.825406",
+      "draw_date": "2026-06-17",
+      "evaluation": {
+        "main": 1,
+        "sz": true,
+        "tip": 6
+      },
+      "avg_matches": {
+        "main": 0.3,
+        "sz_rate": 0.1
+      }
+    },
+    {
+      "timestamp": "2026-06-24T20:00:45.431956",
+      "draw_date": "2026-06-20",
+      "evaluation": {
+        "main": 2,
+        "sz": false,
+        "tip": 2
+      },
+      "avg_matches": {
+        "main": 1.4,
+        "sz_rate": 0.1
+      }
+    },
+    {
+      "timestamp": "2026-06-26T14:10:06.694932",
+      "draw_date": "2026-06-24",
+      "evaluation": {
+        "main": 2,
+        "sz": false,
+        "tip": 1
+      },
+      "avg_matches": {
+        "main": 0.5,
+        "sz_rate": 0.1
+      }
     }
   ]
 }

data/ultimate_ml_models/deep_learning/lstm_config_49.json

@@ -1,9 +1,9 @@
 {
-  "trained_at": "2026-06-10T12:28:40.990544",
+  "trained_at": "2026-06-26T14:10:06.690748",
-  "num_samples": 3112,
+  "num_samples": 3117,
   "num_features": 20,
-  "final_loss": 0.37316114054276395,
+  "final_loss": 0.3737889459499946,
-  "final_val_loss": 0.3733958229422569,
+  "final_val_loss": 0.3734370008111,
-  "best_val_loss": 0.3733740046620369,
+  "best_val_loss": 0.37323174327611924,
-  "epochs_trained": 30
+  "epochs_trained": 21
 }

data/ultimate_ml_models/learning_state.json

@@ -1,61 +1,61 @@
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