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COB integration - finally

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This commit is contained in:
Dobromir Popov
2025-06-26 01:42:48 +03:00
parent 616f019855
commit 3a5a1056c4
5 changed files with 1013 additions and 336 deletions
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2
core/orchestrator.py
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@ -140,7 +140,7 @@ class TradingOrchestrator:
from NN.models.dqn_agent import DQNAgent
state_size = self.config.rl.get('state_size', 13800) # Enhanced with COB features
action_size = self.config.rl.get('action_space', 3)
self.rl_agent = DQNAgent(state_size=state_size, action_size=action_size)
self.rl_agent = DQNAgent(state_shape=state_size, n_actions=action_size)
# Load best checkpoint and capture initial state
if hasattr(self.rl_agent, 'load_best_checkpoint'):

2
core/trade_data_manager.py
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@ -117,7 +117,7 @@ class TradeDataManager:
model_inputs['price_history'] = []
total_features = sum(len(v) if isinstance(v, (dict, list)) else 1 for v in model_inputs.values())
logger.info(f"✅ Captured {total_features} total features for cold start training")
logger.info(f" Captured {total_features} total features for cold start training")
return model_inputs