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Sign up free →CN-Buzz2Portfolio introduces a reproducible benchmark for the Chinese market that converts daily trending financial news into macro and sector asset allocation decisions
Dataset spans from 2024 to mid-2025, simulating realistic public attention streams to test how LLM-based agents extract investment logic from high-exposure news
Addresses evaluation gaps by moving beyond static NLP benchmarks and live trading risks, providing a controlled environment to assess LLM performance as autonomous financial decision-making agents
Focuses on portfolio-level allocation rather than individual stock picking, reflecting broader market dynamics and investor attention patterns
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