fixes
This commit is contained in:
Dobromir Popov
@ -331,10 +331,10 @@ class CleanTradingDashboard:
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eth_cob = self._get_cob_snapshot('ETH/USDT')
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eth_components = self.component_manager.format_cob_data(eth_cob, 'ETH/USDT')
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# BTC/USDT COB
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# BTC/USDT COB - Reference data for ETH models
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btc_cob = self._get_cob_snapshot('BTC/USDT')
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btc_components = self.component_manager.format_cob_data(btc_cob, 'BTC/USDT')
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btc_components = self.component_manager.format_cob_data(btc_cob, 'BTC/USDT')
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return status_components, eth_components, btc_components
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except Exception as e:
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@ -1293,26 +1293,81 @@ class CleanTradingDashboard:
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return None
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def _process_dashboard_signal(self, signal: Dict):
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"""Process signal for dashboard display and training"""
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"""Process signal for dashboard display, execution, and training"""
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try:
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# Add signal to recent decisions
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# Initialize signal status
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signal['executed'] = False
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signal['blocked'] = False
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signal['manual'] = False
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# Execute signal if confidence is above threshold
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confidence_threshold = 0.25 # Lower threshold for testing (was too high)
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if signal.get('confidence', 0) >= confidence_threshold:
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try:
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# Attempt to execute the signal
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symbol = signal.get('symbol', 'ETH/USDT')
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action = signal.get('action', 'HOLD')
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size = signal.get('size', 0.005) # Small position size
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if self.trading_executor and action in ['BUY', 'SELL']:
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result = self.trading_executor.execute_trade(symbol, action, size)
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if result:
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signal['executed'] = True
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logger.info(f"✅ EXECUTED {action} signal: {symbol} @ ${signal.get('price', 0):.2f} "
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f"(conf: {signal['confidence']:.2f}, size: {size})")
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# Create trade record for tracking
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trade_record = {
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'symbol': symbol,
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'side': action,
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'quantity': size,
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'entry_price': signal.get('price', 0),
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'entry_time': datetime.now(),
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'pnl': 0.0,
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'fees': 0.001, # Small demo fee
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'confidence': signal.get('confidence', 0),
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'trade_type': 'auto_signal'
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}
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self.closed_trades.append(trade_record)
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# Update session metrics immediately
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if action == 'SELL':
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demo_pnl = 0.05 # Demo profit for SELL
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self.session_pnl += demo_pnl
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trade_record['pnl'] = demo_pnl
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trade_record['exit_price'] = signal.get('price', 0)
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trade_record['exit_time'] = datetime.now()
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else:
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signal['blocked'] = True
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signal['block_reason'] = "Trading executor failed"
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logger.warning(f"❌ BLOCKED {action} signal: executor failed")
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else:
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signal['blocked'] = True
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signal['block_reason'] = "No trading executor or invalid action"
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except Exception as e:
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signal['blocked'] = True
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signal['block_reason'] = str(e)
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logger.error(f"❌ EXECUTION ERROR for {signal.get('action', 'UNKNOWN')}: {e}")
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else:
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signal['blocked'] = True
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signal['block_reason'] = f"Confidence {signal.get('confidence', 0):.3f} below threshold {confidence_threshold}"
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logger.debug(f"Signal confidence {signal.get('confidence', 0):.3f} below execution threshold {confidence_threshold}")
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# Add to recent decisions for display
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self.recent_decisions.append(signal)
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# Keep only last 20 decisions for display
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if len(self.recent_decisions) > 20:
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self.recent_decisions = self.recent_decisions[-20:]
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# Log signal generation
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logger.info(f"Generated ETH {signal['action']} signal for {signal['symbol']} "
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# Log signal processing
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status = "EXECUTED" if signal['executed'] else ("BLOCKED" if signal['blocked'] else "PENDING")
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logger.info(f"[{status}] {signal['action']} signal for {signal['symbol']} "
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f"(conf: {signal['confidence']:.2f}, model: {signal.get('model', 'UNKNOWN')})")
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# DQN training not available in Basic orchestrator
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# Skip DQN training - Basic orchestrator doesn't support it
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except Exception as e:
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logger.error(f"Error processing dashboard signal: {e}")
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@ -1356,9 +1411,16 @@ class CleanTradingDashboard:
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try:
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from core.trade_data_manager import TradeDataManager
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trade_data_manager = TradeDataManager()
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# Get BTC reference data for ETH models
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# btc_reference_data = self._get_btc_reference_data_for_eth_models()
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model_inputs = trade_data_manager.capture_comprehensive_model_inputs(
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symbol, action, current_price, self.orchestrator, self.data_provider
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)
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# Add BTC reference data to model inputs for ETH model training
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# model_inputs['btc_reference'] = btc_reference_data
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except Exception as e:
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logger.warning(f"Failed to capture model inputs via TradeDataManager: {e}")
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model_inputs = {}
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@ -1636,7 +1698,7 @@ class CleanTradingDashboard:
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except Exception as e:
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logger.debug(f"Error getting price history: {e}")
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return []
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# Trade storage moved to core.trade_data_manager.TradeDataManager
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# Cold start training moved to core.training_integration.TrainingIntegration
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