Update source: strata/__init__.py

strata/__init__.py

@@ -24,7 +24,7 @@ See README.md for usage examples.
 See MANIFESTO.md for architecture and design principles.
 """
 
-__version__ = "2.6.0"   # V2.6: tick-level sense (bid/ask spread anticipatory liquidity)
+__version__ = "2.7.0"   # V2.7: StrataFormer — trading foundation model (variable context, multi-asset, MBM pretraining)
 
 from .core        import initial_state, update_state, compute_confidence, classify_regime
 from .memory      import StrataMEMORY
@@ -36,14 +36,22 @@ from .model       import StrataModel
 from .trainer     import StrataTrainer
 from .net         import StrataNet, StrataNetConfig, StrataNetOutput, ACTION_IDX, IDX_ACTION, REGIME_IDX, IDX_REGIME
 from .net_trainer import StrataNetTrainer, StrataNetDataset
+from .former      import StrataFormer, StrataFormerConfig
+from .former_trainer import StrataFormerPretrainer, StrataFormerTrainer, StrataFormerDataset
 
 __all__ = [
+    # ── Trading foundation model (new in v2.7) ───────────────────────
+    "StrataFormer",          # trading LLM backbone — variable context, multi-asset
+    "StrataFormerConfig",    # hyperparameter config dataclass
+    "StrataFormerPretrainer",# self-supervised MBM pretraining (no labels needed)
+    "StrataFormerTrainer",   # supervised fine-tuning with STRATA teacher
+    "StrataFormerDataset",   # multi-asset OHLCV dataset with 75% overlap windows
     # ── Neural network architecture (new in v2.5) ──────────────────────
-    "StrataNet",           # PyTorch model — train/save/load/predict_action
-    "StrataNetConfig",     # hyperparameter config dataclass
-    "StrataNetOutput",     # forward pass output container
-    "StrataNetTrainer",    # gradient descent training loop
-    "StrataNetDataset",    # OHLCV → labeled PyTorch Dataset
+    "StrataNet",             # PyTorch model — train/save/load/predict_action
+    "StrataNetConfig",       # hyperparameter config dataclass
+    "StrataNetOutput",       # forward pass output container
+    "StrataNetTrainer",      # gradient descent training loop
+    "StrataNetDataset",      # OHLCV → labeled PyTorch Dataset
     # ── High-level state-machine model API (v2.4) ──────────────────────
     "StrataModel",         # gradient-free trainable model (JSON)
     "StrataTrainer",       # coordinate optimizer