TradingAgents/tradingagents/dataflows/discovery/scanners/market_movers.py

128 lines
4.1 KiB
Python

"""Market movers scanner - migrated from legacy TraditionalScanner."""
from typing import Any, Dict, List
from tradingagents.dataflows.discovery.scanner_registry import SCANNER_REGISTRY, BaseScanner
from tradingagents.dataflows.discovery.utils import Priority
from tradingagents.utils.logger import get_logger
logger = get_logger(__name__)
class MarketMoversScanner(BaseScanner):
"""Scan for top gainers and losers."""
name = "market_movers"
pipeline = "momentum"
strategy = "momentum"
def __init__(self, config: Dict[str, Any]):
super().__init__(config)
self.min_price = self.scanner_config.get("min_price", 5.0)
self.min_volume = self.scanner_config.get("min_volume", 500_000)
def scan(self, state: Dict[str, Any]) -> List[Dict[str, Any]]:
if not self.is_enabled():
return []
logger.info("📈 Scanning market movers...")
from tradingagents.tools.executor import execute_tool
try:
result = execute_tool("get_market_movers", return_structured=True)
if not result or not isinstance(result, dict):
return []
if "error" in result:
logger.warning(f"⚠️ API error: {result['error']}")
return []
candidates = []
# Process gainers
for gainer in result.get("gainers", [])[: self.limit]:
ticker = gainer.get("ticker", "").upper()
if not ticker:
continue
if not self._validate_mover(ticker):
continue
change_pct = gainer.get("change_percentage", 0)
price = gainer.get("price", "")
volume = gainer.get("volume", "")
context = f"Top gainer: {change_pct} change"
if price:
context += f" (${price})"
if volume:
context += f" vol: {volume}"
candidates.append(
{
"ticker": ticker,
"source": self.name,
"context": context,
"priority": Priority.MEDIUM.value,
"strategy": self.strategy,
}
)
if len(candidates) >= self.limit // 2:
break
# Process losers (potential reversal plays)
loser_count = 0
for loser in result.get("losers", [])[: self.limit]:
ticker = loser.get("ticker", "").upper()
if not ticker:
continue
if not self._validate_mover(ticker):
continue
change_pct = loser.get("change_percentage", 0)
candidates.append(
{
"ticker": ticker,
"source": self.name,
"context": f"Top loser: {change_pct} change (reversal play)",
"priority": Priority.LOW.value,
"strategy": self.strategy,
}
)
loser_count += 1
if loser_count >= self.limit // 2:
break
logger.info(f"Found {len(candidates)} market movers")
return candidates
except Exception as e:
logger.warning(f"⚠️ Market movers failed: {e}")
return []
def _validate_mover(self, ticker: str) -> bool:
"""Quick validation: price and volume check to filter penny/illiquid stocks."""
try:
from tradingagents.dataflows.y_finance import get_stock_price, get_ticker_info
price = get_stock_price(ticker)
if price is not None and price < self.min_price:
return False
info = get_ticker_info(ticker)
avg_vol = info.get("averageVolume", 0) if info else 0
if avg_vol and avg_vol < self.min_volume:
return False
return True
except Exception:
return True # Don't filter on errors
SCANNER_REGISTRY.register(MarketMoversScanner)