34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
# TradingAgents/graph/signal_processing.py
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from langchain_openai import ChatOpenAI
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class SignalProcessor:
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"""Processes trading signals to extract actionable decisions."""
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def __init__(self, quick_thinking_llm: ChatOpenAI):
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"""Initialize with an LLM for processing."""
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self.quick_thinking_llm = quick_thinking_llm
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def process_signal(self, full_signal: str) -> str:
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"""
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Process a full trading signal to extract the core decision.
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Args:
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full_signal: Complete trading signal text
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Returns:
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Extracted rating (BUY, OVERWEIGHT, HOLD, UNDERWEIGHT, or SELL)
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"""
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messages = [
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(
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"system",
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"You are an efficient assistant that extracts the trading decision from analyst reports. "
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"Extract the rating as exactly one of: BUY, OVERWEIGHT, HOLD, UNDERWEIGHT, SELL. "
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"Output only the single rating word, nothing else.",
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),
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("human", full_signal),
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]
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return self.quick_thinking_llm.invoke(messages).content
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