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more models wireup

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This commit is contained in:
Dobromir Popov
2025-06-25 21:10:53 +03:00
parent 2f712c9d6a
commit 3da454efb7
6 changed files with 792 additions and 134 deletions
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28
main.py
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@ -89,16 +89,20 @@ async def run_web_dashboard():
training_integration = get_training_integration()
logger.info("Checkpoint management initialized for training pipeline")
# Create basic orchestrator for stability
orchestrator = TradingOrchestrator(data_provider)
logger.info("Basic Trading Orchestrator initialized for stability")
logger.info("Using Basic orchestrator - stable and efficient")
# Create unified orchestrator with full ML pipeline
orchestrator = TradingOrchestrator(
data_provider=data_provider,
enhanced_rl_training=True,
model_registry={}
)
logger.info("Unified Trading Orchestrator initialized with full ML pipeline")
logger.info("Data Bus -> Models (DQN + CNN + COB) -> Decision Model -> Trading Signals")
# Checkpoint management will be handled in the training loop
logger.info("Checkpoint management will be initialized in training loop")
# COB integration not available in Basic orchestrator
logger.info("COB Integration not available - using Basic orchestrator")
# Unified orchestrator includes COB integration as part of data bus
logger.info("COB Integration available - feeds into unified data bus")
# Create trading executor for live execution
trading_executor = TradingExecutor()
@ -168,8 +172,12 @@ def start_web_ui(port=8051):
dashboard_checkpoint_manager = get_checkpoint_manager()
dashboard_training_integration = get_training_integration()
# Create basic orchestrator for the dashboard
dashboard_orchestrator = TradingOrchestrator(data_provider)
# Create unified orchestrator for the dashboard
dashboard_orchestrator = TradingOrchestrator(
data_provider=data_provider,
enhanced_rl_training=True,
model_registry={}
)
trading_executor = TradingExecutor("config.yaml")
@ -181,8 +189,8 @@ def start_web_ui(port=8051):
)
logger.info("Clean Trading Dashboard created successfully")
logger.info("Features: Live trading, COB visualization, RL training monitoring, Position management")
logger.info("✅ Checkpoint management integrated for training persistence")
logger.info("Features: Live trading, COB visualization, ML pipeline monitoring, Position management")
logger.info("✅ Unified orchestrator with decision-making model and checkpoint management")
# Run the dashboard server (COB integration will start automatically)
dashboard.run_server(host='127.0.0.1', port=port, debug=False)