56 lines
3.3 KiB
Python
Executable File
56 lines
3.3 KiB
Python
Executable File
import time
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import json
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def create_neutral_debator(llm):
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def neutral_node(state) -> dict:
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risk_debate_state = state["risk_debate_state"]
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history = risk_debate_state.get("history", "")
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neutral_history = risk_debate_state.get("neutral_history", "")
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current_risky_response = risk_debate_state.get("current_risky_response", "")
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current_safe_response = risk_debate_state.get("current_safe_response", "")
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market_research_report = state["market_report"]
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sentiment_report = state["sentiment_report"]
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news_report = state["news_report"]
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fundamentals_report = state["fundamentals_report"]
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trader_decision = state["trader_investment_plan"]
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prompt = f"""As the Neutral Risk Analyst for SHORT-TERM trading (1-2 week horizon), your role is to provide a balanced perspective on the trader's position decision (LONG/SHORT/HOLD) for the next 1-2 weeks. You prioritize a well-rounded approach, evaluating near-term upsides and downsides while factoring in upcoming events, short-term market trends, and immediate catalysts. Here is the trader's position decision:
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{trader_decision}
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Your task is to challenge both the Risky and Safe Analysts on their short-term views, pointing out where each perspective may be overly optimistic or overly cautious for the 1-2 week timeframe. Use insights from the following data sources to support a balanced short-term position strategy:
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Market Research Report: {market_research_report}
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Social Media Sentiment Report: {sentiment_report}
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Latest World Affairs Report: {news_report}
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Company Fundamentals Report: {fundamentals_report}
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Here is the current conversation history: {history} Here is the last response from the risky analyst: {current_risky_response} Here is the last response from the safe analyst: {current_safe_response}. If there are no responses from the other viewpoints, do not halluncinate and just present your point.
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Engage actively by analyzing both sides critically for the short-term horizon, addressing weaknesses in the risky and conservative arguments. Challenge each of their points to illustrate why a balanced approach (whether LONG, SHORT, or HOLD) might offer the best risk-reward for the next 1-2 weeks. Focus on debating rather than simply presenting data, aiming to show that a balanced view optimized for short-term trading can lead to the most reliable outcomes. Output conversationally as if you are speaking without any special formatting."""
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response = llm.invoke(prompt)
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argument = f"Neutral Analyst: {response.content}"
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new_risk_debate_state = {
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"history": history + "\n" + argument,
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"risky_history": risk_debate_state.get("risky_history", ""),
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"safe_history": risk_debate_state.get("safe_history", ""),
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"neutral_history": neutral_history + "\n" + argument,
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"latest_speaker": "Neutral",
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"current_risky_response": risk_debate_state.get(
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"current_risky_response", ""
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),
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"current_safe_response": risk_debate_state.get("current_safe_response", ""),
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"current_neutral_response": argument,
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"count": risk_debate_state["count"] + 1,
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}
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return {"risk_debate_state": new_risk_debate_state}
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return neutral_node
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