TobyYang7/TwinMarket
[NeurIPS 2025] A multi-agent framework that leverages LLMs to simulate socio-economic systems
This framework helps financial researchers and economists understand how individual investor decisions and their social interactions lead to large-scale market behaviors like bubbles or crashes. It takes real-world data like user profiles, transaction details, stock prices, and news, then simulates complex financial market dynamics based on realistic human behaviors and biases. The output reveals insights into information spread, opinion leaders, market volatility, and emergent group behaviors, suitable for academic research or market analysis.
Use this if you need to simulate and study how individual investor behaviors and social dynamics lead to complex market phenomena like fat-tailed returns, volatility clustering, or the leverage effect.
Not ideal if you are looking for a tool for real-time trading signals or direct investment advice.
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Last pushed
Oct 18, 2025
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