fix(graph): resolve instrument identity to stop wrong-company hallucination

Agents had no ground-truth ticker→company mapping, so the market analyst
could pattern-match a price chart to the wrong company (e.g. TOTDY read as
"TotalEnergies"), and every downstream agent inherited the bad framing.

Resolve identity once at run start via a cached, fail-open yfinance lookup
and inject company/sector/exchange into the shared instrument context that
all twelve agents consume, with an explicit do-not-substitute instruction.
Resolution runs on both the propagate() and CLI entry points.

Also replaces the bare "Continue" message-clear placeholder, which some
OpenAI-compatible providers interpreted as the user task, with a
context-anchored placeholder carrying the resolved identity and date.

#814 #888

tradingagents/agents/risk_mgmt/aggressive_debator.py

@@ -1,4 +1,7 @@
-from tradingagents.agents.utils.agent_utils import get_language_instruction
+from tradingagents.agents.utils.agent_utils import (
+    get_instrument_context_from_state,
+    get_language_instruction,
+)
 
 
 def create_aggressive_debator(llm):
@@ -14,6 +17,7 @@ def create_aggressive_debator(llm):
         sentiment_report = state["sentiment_report"]
         news_report = state["news_report"]
         fundamentals_report = state["fundamentals_report"]
+        instrument_context = get_instrument_context_from_state(state)
 
         trader_decision = state["trader_investment_plan"]
 
@@ -23,6 +27,7 @@ def create_aggressive_debator(llm):
 
 Your task is to create a compelling case for the trader's decision by questioning and critiquing the conservative and neutral stances to demonstrate why your high-reward perspective offers the best path forward. Incorporate insights from the following sources into your arguments:
 
+{instrument_context}
 Market Research Report: {market_research_report}
 Social Media Sentiment Report: {sentiment_report}
 Latest World Affairs Report: {news_report}