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Synthetic Anomaly Pattern Definition

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Linked challenge: Crypto Financial Anomaly Detection

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Linked challenge
Crypto Financial Anomaly Detection

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Define at least two distinct crypto financial anomaly patterns you expect your system to detect within a synthetic transaction dataset (e.g., 'Smurfing', 'Wash Trading', 'Ponzi Scheme Pattern'). For each, describe the graph characteristics and transaction properties that would indicate its presence.

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.