style: inline single-use instrument context vars
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08bfe70a69
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@ -15,8 +15,7 @@ from tradingagents.dataflows.config import get_config
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def create_fundamentals_analyst(llm):
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def fundamentals_analyst_node(state):
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current_date = state["trade_date"]
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ticker = state["company_of_interest"]
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instrument_context = build_instrument_context(ticker)
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instrument_context = build_instrument_context(state["company_of_interest"])
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tools = [
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get_fundamentals,
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@ -13,8 +13,7 @@ def create_market_analyst(llm):
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def market_analyst_node(state):
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current_date = state["trade_date"]
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ticker = state["company_of_interest"]
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instrument_context = build_instrument_context(ticker)
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instrument_context = build_instrument_context(state["company_of_interest"])
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tools = [
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get_stock_data,
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@ -12,8 +12,7 @@ from tradingagents.dataflows.config import get_config
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def create_news_analyst(llm):
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def news_analyst_node(state):
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current_date = state["trade_date"]
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ticker = state["company_of_interest"]
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instrument_context = build_instrument_context(ticker)
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instrument_context = build_instrument_context(state["company_of_interest"])
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tools = [
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get_news,
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@ -8,8 +8,7 @@ from tradingagents.dataflows.config import get_config
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def create_social_media_analyst(llm):
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def social_media_analyst_node(state):
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current_date = state["trade_date"]
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ticker = state["company_of_interest"]
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instrument_context = build_instrument_context(ticker)
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instrument_context = build_instrument_context(state["company_of_interest"])
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tools = [
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get_news,
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@ -6,8 +6,7 @@ from tradingagents.agents.utils.agent_utils import build_instrument_context
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def create_research_manager(llm, memory):
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def research_manager_node(state) -> dict:
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ticker = state["company_of_interest"]
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instrument_context = build_instrument_context(ticker)
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instrument_context = build_instrument_context(state["company_of_interest"])
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history = state["investment_debate_state"].get("history", "")
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market_research_report = state["market_report"]
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sentiment_report = state["sentiment_report"]
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@ -7,8 +7,7 @@ from tradingagents.agents.utils.agent_utils import build_instrument_context
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def create_risk_manager(llm, memory):
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def risk_manager_node(state) -> dict:
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company_name = state["company_of_interest"]
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instrument_context = build_instrument_context(company_name)
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instrument_context = build_instrument_context(state["company_of_interest"])
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history = state["risk_debate_state"]["history"]
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risk_debate_state = state["risk_debate_state"]
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