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Performance Evaluation and Continuous Learning

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Linked challenge: Multimodal Prediction Market Agent

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Linked challenge
Multimodal Prediction Market Agent

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Design a comprehensive evaluation framework to continuously monitor the accuracy of your agent's market predictions and the profitability of its arbitrage recommendations. How would you use a feedback loop from actual (simulated) market outcomes to refine the agent's analytical models and strategic decision-making processes over time, ensuring it adapts to changing market conditions?

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Preserve the rubric, target behavior, and pass-fail criteria as the baseline for evaluation.

Tune next

Adjust fixtures, mocks, and thresholds to the system under test instead of weakening the assertions.

Verify after

Make sure the prompt catches regressions instead of just mirroring the happy-path examples.