dix price ccalls

This commit is contained in:
Dobromir Popov
2025-07-28 00:14:03 +03:00
parent b4076241c9
commit 6efaa27c33
3 changed files with 77 additions and 65 deletions

View File

@ -4932,3 +4932,34 @@ class DataProvider:
callback(symbol, data) callback(symbol, data)
except Exception as e: except Exception as e:
logger.error(f"Error in bucketed COB callback: {e}") logger.error(f"Error in bucketed COB callback: {e}")
def get_live_price_from_api(self, symbol: str) -> Optional[float]:
"""FORCE fetch live price from Binance API for low-latency updates"""
# Check cache first to avoid excessive API calls
if symbol in self.live_price_cache:
price, timestamp = self.live_price_cache[symbol]
if datetime.now() - timestamp < self.live_price_cache_ttl:
return price
try:
import requests
binance_symbol = symbol.replace('/', '')
url = f"https://api.binance.com/api/v3/ticker/price?symbol={binance_symbol}"
response = requests.get(url, timeout=0.5) # Use a short timeout for low latency
response.raise_for_status()
data = response.json()
price = float(data['price'])
# Update cache and current prices
self.live_price_cache[symbol] = (price, datetime.now())
self.current_prices[symbol] = price
logger.info(f"LIVE PRICE for {symbol}: ${price:.2f}")
return price
except requests.exceptions.RequestException as e:
logger.warning(f"Failed to get live price for {symbol} from API: {e}")
# Fallback to last known current price
return self.current_prices.get(symbol)
except Exception as e:
logger.error(f"Unexpected error getting live price for {symbol}: {e}")
return self.current_prices.get(symbol)

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@ -1035,69 +1035,16 @@ class TradingOrchestrator:
logger.debug(f"Error capturing DQN prediction: {e}") logger.debug(f"Error capturing DQN prediction: {e}")
def _get_current_price(self, symbol: str) -> Optional[float]: def _get_current_price(self, symbol: str) -> Optional[float]:
"""Get current price for a symbol - ENHANCED with better fallbacks""" """Get current price for a symbol - using dedicated live price API"""
try: try:
# Try data provider current prices first # Use the new low-latency live price method from data provider
if hasattr(self.data_provider, 'current_prices') and symbol in self.data_provider.current_prices: if hasattr(self.data_provider, 'get_live_price_from_api'):
price = self.data_provider.current_prices[symbol] return self.data_provider.get_live_price_from_api(symbol)
if price and price > 0: else:
return price # Fallback to old method if not available
return self.data_provider.get_current_price(symbol)
# Try data provider get_current_price method
if hasattr(self.data_provider, 'get_current_price'):
try:
price = self.data_provider.get_current_price(symbol)
if price and price > 0:
return price
except Exception as dp_error:
logger.debug(f"Data provider get_current_price failed: {dp_error}")
# Get fresh price from data provider - try multiple timeframes
for timeframe in ['1m', '5m', '1h']: # Start with 1m for better reliability
try:
df = self.data_provider.get_historical_data(symbol, timeframe, limit=1, refresh=True)
if df is not None and not df.empty:
price = float(df['close'].iloc[-1])
if price > 0:
logger.debug(f"Got current price for {symbol} from {timeframe}: ${price:.2f}")
return price
except Exception as tf_error:
logger.debug(f"Failed to get {timeframe} data for {symbol}: {tf_error}")
continue
# Try external API as last resort
try:
import requests
if symbol == 'ETH/USDT':
response = requests.get('https://api.binance.com/api/v3/ticker/price?symbol=ETHUSDT', timeout=2)
if response.status_code == 200:
data = response.json()
price = float(data['price'])
if price > 0:
logger.debug(f"Got current price for {symbol} from Binance API: ${price:.2f}")
return price
elif symbol == 'BTC/USDT':
response = requests.get('https://api.binance.com/api/v3/ticker/price?symbol=BTCUSDT', timeout=2)
if response.status_code == 200:
data = response.json()
price = float(data['price'])
if price > 0:
logger.debug(f"Got current price for {symbol} from Binance API: ${price:.2f}")
return price
except Exception as api_error:
logger.debug(f"External API failed: {api_error}")
logger.warning(f"Could not get current price for {symbol} from any source")
except Exception as e: except Exception as e:
logger.error(f"Error getting current price for {symbol}: {e}") logger.error(f"Error getting current price for {symbol}: {e}")
# Return a reasonable fallback based on current market conditions
if symbol == 'ETH/USDT':
return 3385.0 # Current market price fallback
elif symbol == 'BTC/USDT':
return 119500.0 # Current market price fallback
return None return None
async def _generate_fallback_prediction(self, symbol: str, current_price: float) -> Optional[Prediction]: async def _generate_fallback_prediction(self, symbol: str, current_price: float) -> Optional[Prediction]:
@ -2304,7 +2251,7 @@ class TradingOrchestrator:
'evaluated_at': datetime.now().isoformat() 'evaluated_at': datetime.now().isoformat()
} }
price_pred_info = f"predicted: ${predicted_price:.2f}" if predicted_price is not None else "no price prediction" price_pred_info = f"inference: ${inference_price:.2f}" if inference_price is not None else "no inference price"
logger.debug(f"Evaluated {model_name} prediction: {'' if was_correct else ''} " logger.debug(f"Evaluated {model_name} prediction: {'' if was_correct else ''} "
f"({prediction['action']}, {price_change_pct:.2f}% change, " f"({prediction['action']}, {price_change_pct:.2f}% change, "
f"confidence: {prediction_confidence:.3f}, {price_pred_info}, reward: {reward:.3f})") f"confidence: {prediction_confidence:.3f}, {price_pred_info}, reward: {reward:.3f})")

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@ -53,6 +53,13 @@ class StandardizedDataProvider(DataProvider):
self.cob_data_cache[symbol] = None self.cob_data_cache[symbol] = None
self.cob_imbalance_history[symbol] = deque(maxlen=300) # 5 minutes of 1s data self.cob_imbalance_history[symbol] = deque(maxlen=300) # 5 minutes of 1s data
# Ensure live price cache exists (in case parent didn't initialize it)
if not hasattr(self, 'live_price_cache'):
self.live_price_cache: Dict[str, Tuple[float, datetime]] = {}
if not hasattr(self, 'live_price_cache_ttl'):
from datetime import timedelta
self.live_price_cache_ttl = timedelta(milliseconds=500)
# COB provider integration # COB provider integration
self.cob_provider: Optional[MultiExchangeCOBProvider] = None self.cob_provider: Optional[MultiExchangeCOBProvider] = None
self._initialize_cob_provider() self._initialize_cob_provider()
@ -476,10 +483,37 @@ class StandardizedDataProvider(DataProvider):
else: else:
logger.warning(f"No 'close' column found in OHLCV data for {symbol}") logger.warning(f"No 'close' column found in OHLCV data for {symbol}")
return [] return []
except Exception as e: except Exception as e:
logger.error(f"Error getting recent prices for {symbol}: {e}") logger.error(f"Error getting recent prices for {symbol}: {e}")
return [] return []
def get_live_price_from_api(self, symbol: str) -> Optional[float]:
"""FORCE fetch live price from Binance API for low-latency updates"""
# Check cache first to avoid excessive API calls
if symbol in self.live_price_cache:
price, timestamp = self.live_price_cache[symbol]
if datetime.now() - timestamp < self.live_price_cache_ttl:
return price
try:
import requests
binance_symbol = symbol.replace('/', '')
url = f"https://api.binance.com/api/v3/ticker/price?symbol={binance_symbol}"
response = requests.get(url, timeout=0.5) # Use a short timeout for low latency
response.raise_for_status()
data = response.json()
price = float(data['price'])
# Update cache and current prices
self.live_price_cache[symbol] = (price, datetime.now())
self.current_prices[symbol] = price
logger.info(f"LIVE PRICE for {symbol}: ${price:.2f}")
return price
except requests.exceptions.RequestException as e:
logger.warning(f"Failed to get live price for {symbol} from API: {e}")
# Fallback to last known current price
return self.current_prices.get(symbol)
except Exception as e: except Exception as e:
logger.error(f"Error stopping real-time processing: {e}") logger.error(f"Unexpected error getting live price for {symbol}: {e}")
return self.current_prices.get(symbol)