feat: train forecasts on trade outcomes

tests/test_training_coordination.py

@@ -6,7 +6,7 @@ import json
 
 import pytest
 
-from crypto_spot_bot.training_coordination import TrainingCoordinator
+from crypto_spot_bot.training_coordination import TrainingCoordinator, _validate_symbol_models
 
 
 def test_training_coordinator_claims_and_completes_job(tmp_path) -> None:
@@ -57,10 +57,15 @@ def test_training_coordinator_sanitizes_independent_training_parameters(tmp_path
             "parameters": {
                 "pooled": False,
                 "limit": 6000,
+                "validation_window": 720,
                 "ensemble_seeds": "7,19",
                 "selection_folds": 3,
                 "learning_rate": 0.0007,
                 "weight_decay": 0.0005,
+                "horizon": 12,
+                "horizons": "3,6,12,24",
+                "patience": 8,
+                "seed": 7,
             },
         }
     )
@@ -68,10 +73,15 @@ def test_training_coordinator_sanitizes_independent_training_parameters(tmp_path
     assert requested["job"]["parameters"] == {
         "pooled": False,
         "limit": 6000,
+        "validation_window": 720,
         "ensemble_seeds": "7,19",
         "selection_folds": 3,
         "learning_rate": 0.0007,
         "weight_decay": 0.0005,
+        "horizon": 12,
+        "horizons": "3,6,12,24",
+        "patience": 8,
+        "seed": 7,
     }
 
 
@@ -148,6 +158,30 @@ def test_training_coordinator_accepts_chunked_artifact_upload(tmp_path) -> None:
     assert coordinator.status()["latest_job"]["artifacts"][0]["sha256"] == sha256
 
 
+def test_model_validation_accepts_multitask_ensemble_members() -> None:
+    head = {
+        "state_dict": {"weight_ih_l0": [[0.0]]},
+        "head_hidden_weight": [[0.0]],
+        "head_hidden_bias": [0.0],
+        "return_head_weight": [[0.0]],
+        "return_head_bias": [0.0],
+        "event_head_weight": [[0.0]],
+        "event_head_bias": [0.0],
+    }
+    symbols = {
+        "BTCUSDT": {
+            "model": "torch_gru",
+            "lookback": 8,
+            "input_size": 2,
+            "hidden_size": 4,
+            "multitask_head": True,
+            "ensemble_members": [head, head],
+        }
+    }
+
+    _validate_symbol_models(symbols)
+
+
 def test_running_claimed_job_keeps_agent_online_when_heartbeat_is_stale(tmp_path) -> None:
     coordinator = TrainingCoordinator(tmp_path)
     coordinator.request_retrain({"source": "android"})