90 lines
2.9 KiB
Python
90 lines
2.9 KiB
Python
import time
|
|
import json
|
|
|
|
|
|
def create_risky_debator(llm):
|
|
def risky_node(state) -> dict:
|
|
risk_debate_state = state["risk_debate_state"]
|
|
history = risk_debate_state.get("history", "")
|
|
risky_history = risk_debate_state.get("risky_history", "")
|
|
|
|
current_safe_response = risk_debate_state.get("current_safe_response", "")
|
|
current_neutral_response = risk_debate_state.get("current_neutral_response", "")
|
|
|
|
market_research_report = state["market_report"]
|
|
sentiment_report = state["sentiment_report"]
|
|
news_report = state["news_report"]
|
|
fundamentals_report = state["fundamentals_report"]
|
|
|
|
trader_decision = state["trader_investment_plan"]
|
|
|
|
prompt = f"""You are the Aggressive Trade Reviewer. Your job is to push for taking the trade if there is a short-term edge (5-14 days).
|
|
|
|
## CORE RULES (CRITICAL)
|
|
- Evaluate this ticker IN ISOLATION (no portfolio sizing, no portfolio impact).
|
|
- Use ONLY the provided reports and the trader plan as evidence.
|
|
- Focus on the upside path: what must happen for this to work, and how to structure the trade to capture it.
|
|
|
|
## OUTPUT STRUCTURE (MANDATORY)
|
|
|
|
### Stance
|
|
State whether you agree with the Trader's direction (BUY/SELL) or flip it (no HOLD).
|
|
|
|
### Best-Case Setup
|
|
- Entry: [price/condition]
|
|
- Stop: [price] ([%] risk)
|
|
- Target: [price] ([%] reward)
|
|
- Risk/Reward: [ratio]
|
|
|
|
### Why This Can Work Soon
|
|
- [3 bullets max: catalyst + technical + sentiment/news/fundamentals, all from provided data]
|
|
|
|
### Counters (Brief)
|
|
- Respond to the Safe and Neutral critiques with 1-2 data-backed points each.
|
|
|
|
---
|
|
|
|
**TRADER'S PLAN:**
|
|
{trader_decision}
|
|
|
|
**YOUR TASK:** Argue why this plan should be executed with conviction and clear triggers.
|
|
|
|
**MARKET DATA:**
|
|
- Technical: {market_research_report}
|
|
- Sentiment: {sentiment_report}
|
|
- News: {news_report}
|
|
- Fundamentals: {fundamentals_report}
|
|
|
|
**DEBATE HISTORY:**
|
|
{history}
|
|
|
|
**CONSERVATIVE ARGUMENT:**
|
|
{current_safe_response}
|
|
|
|
**NEUTRAL ARGUMENT:**
|
|
{current_neutral_response}
|
|
|
|
**If no other arguments yet:** Present your strongest case for why this trade can work soon, using only the provided data."""
|
|
|
|
response = llm.invoke(prompt)
|
|
|
|
argument = f"Risky Analyst: {response.content}"
|
|
|
|
new_risk_debate_state = {
|
|
"history": history + "\n" + argument,
|
|
"risky_history": risky_history + "\n" + argument,
|
|
"safe_history": risk_debate_state.get("safe_history", ""),
|
|
"neutral_history": risk_debate_state.get("neutral_history", ""),
|
|
"latest_speaker": "Risky",
|
|
"current_risky_response": argument,
|
|
"current_safe_response": risk_debate_state.get("current_safe_response", ""),
|
|
"current_neutral_response": risk_debate_state.get(
|
|
"current_neutral_response", ""
|
|
),
|
|
"count": risk_debate_state["count"] + 1,
|
|
}
|
|
|
|
return {"risk_debate_state": new_risk_debate_state}
|
|
|
|
return risky_node
|