EvolveTrade: Self-Evolving LLM Trading Agents
A new framework called EvolveTrade has been introduced to improve large language model (LLM) trading agents. These agents can use a variety of inputs like market data and news, but their behavior is currently fixed by static policies that don't adapt well to changing market conditions. The researchers have developed a system where the policy used by these agents is allowed to evolve over time…
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Key points
- EvolveTrade uses evolving policies for LLM trading agents
- Improves Sharpe Ratio and Cumulative Return over static policy baselines
- Shows increased use of code-mediated analysis in evolved policies
Read the original at arXiv cs.AI · by Sehee Kim, Yumin Choi, Minki Kang, Sung Ju Hwang primary sourceOpen source ↗
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