56 lines
3.5 KiB
Python
Executable File
56 lines
3.5 KiB
Python
Executable File
import time
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import json
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def create_risky_debator(llm):
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def risky_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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risky_history = risk_debate_state.get("risky_history", "")
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current_safe_response = risk_debate_state.get("current_safe_response", "")
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current_neutral_response = risk_debate_state.get("current_neutral_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 Risky Risk Analyst for SHORT-TERM trading (1-2 week horizon), your role is to actively champion high-reward opportunities that can be captured in the next 1-2 weeks. When evaluating the trader's position decision (LONG/SHORT/HOLD), focus intently on near-term catalysts, momentum, and short-term upside potential—even when these come with elevated risk. Use the provided market data and sentiment analysis to strengthen your arguments for aggressive short-term positioning. Specifically, respond directly to each point made by the conservative and neutral analysts, countering with data-driven rebuttals focused on short-term opportunities. Highlight where their caution might miss critical near-term opportunities. Here is the trader's position decision:
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{trader_decision}
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Your task is to create a compelling case for an aggressive SHORT-TERM position (1-2 weeks) by questioning and critiquing the conservative and neutral stances to demonstrate why bold action now offers the best path forward. Incorporate insights from the following sources into your arguments:
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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 are the last arguments from the conservative analyst: {current_safe_response} Here are the last arguments from the neutral analyst: {current_neutral_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 addressing any specific concerns raised, refuting the weaknesses in their logic, and asserting the benefits of taking decisive action to capture short-term gains. Maintain a focus on debating and persuading, not just presenting data. Challenge each counterpoint to underscore why a decisive LONG or SHORT position is optimal over HOLD for the next 1-2 weeks. 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"Risky 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": risky_history + "\n" + argument,
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"safe_history": risk_debate_state.get("safe_history", ""),
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"neutral_history": risk_debate_state.get("neutral_history", ""),
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"latest_speaker": "Risky",
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"current_risky_response": argument,
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"current_safe_response": risk_debate_state.get("current_safe_response", ""),
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"current_neutral_response": risk_debate_state.get(
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"current_neutral_response", ""
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),
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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 risky_node
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