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Dynamically select agent's betting strategy based on past simulations #495

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evangriffiths opened this issue Oct 4, 2024 · 0 comments
Open

Dynamically select agent's betting strategy based on past simulations #495

evangriffiths opened this issue Oct 4, 2024 · 0 comments

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@evangriffiths
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Atm we run https://github.com/gnosis/prediction-market-agent-tooling/blob/main/examples/monitor/match_bets_with_langfuse_traces.py and from the results update each agent's get_betting_strategy function based on some combination of max profit, and max ROI.

We could instead get this information at runtime so that the agent always has the optimal strategy
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