TradingAgents/tradingagents/graph/signal_processing.py

81 lines
2.4 KiB
Python

# TradingAgents/graph/signal_processing.py
from langchain_openai import ChatOpenAI
class SignalProcessor:
"""Processes trading signals to extract actionable decisions."""
def __init__(self, quick_thinking_llm: ChatOpenAI):
"""Initialize with an LLM for processing."""
self.quick_thinking_llm = quick_thinking_llm
def process_signal(self, full_signal: str) -> str:
"""
Process a full trading signal to extract the core decision.
Args:
full_signal: Complete trading signal text
Returns:
Extracted decision (BUY, SELL, or HOLD)
"""
if not full_signal or len(full_signal.strip()) < 10:
return "HOLD"
import re
signal_upper = full_signal.upper()
buy_patterns = [
r'FINAL\s+TRANSACTION\s+PROPOSAL:\s*\*\*BUY\*\*',
r'FINAL\s+DECISION:\s*BUY',
r'RECOMMENDATION:\s*BUY',
r'DECISION:\s*BUY',
r'PROPOSE:\s*BUY',
r'\bBUY\b(?=\s*[.!]|\s*$)',
]
sell_patterns = [
r'FINAL\s+TRANSACTION\s+PROPOSAL:\s*\*\*SELL\*\*',
r'FINAL\s+DECISION:\s*SELL',
r'RECOMMENDATION:\s*SELL',
r'DECISION:\s*SELL',
r'PROPOSE:\s*SELL',
r'\bSELL\b(?=\s*[.!]|\s*$)',
]
hold_patterns = [
r'FINAL\s+TRANSACTION\s+PROPOSAL:\s*\*\*HOLD\*\*',
r'FINAL\s+DECISION:\s*HOLD',
r'RECOMMENDATION:\s*HOLD',
r'DECISION:\s*HOLD',
r'PROPOSE:\s*HOLD',
r'\bHOLD\b(?=\s*[.!]|\s*$)',
]
for pattern in buy_patterns:
if re.search(pattern, signal_upper):
return "BUY"
for pattern in sell_patterns:
if re.search(pattern, signal_upper):
return "SELL"
for pattern in hold_patterns:
if re.search(pattern, signal_upper):
return "HOLD"
buy_count = len(re.findall(r'\bBUY\b', signal_upper))
sell_count = len(re.findall(r'\bSELL\b', signal_upper))
hold_count = len(re.findall(r'\bHOLD\b', signal_upper))
if buy_count > sell_count and buy_count > hold_count:
return "BUY"
elif sell_count > buy_count and sell_count > hold_count:
return "SELL"
elif hold_count > 0:
return "HOLD"
return "HOLD"