Research / Replay
Controlled policy and routing replay
Compare baseline vs candidate thresholds against recorded opportunities and outcomes. This is a research surface for internal validation, not a production action path.
Research
Replay historical opportunities through the real deterministic scorer, policy engine, and router in a sandbox. This lab does not create live signals, executions, or positions.
Compare baseline vs candidate thresholds against recorded opportunities and outcomes. This is a research surface for internal validation, not a production action path.
Select a time range, keep the baseline, and test a candidate threshold profile without touching production state.
Leave blank to use the current policy defaults.
Use candidate values to test a more selective or looser policy without touching production behavior.
Each run replays the same deterministic logic over historical opportunities in a fully sandboxed context.
Create a sandboxed replay to inspect how baseline and candidate policies would have behaved over recorded opportunities.
Inspect how policy changes affect signals, paper-execution readiness, and blocked-vs-allowed outcomes.
Choose a research run to inspect the summary, candidate deltas, and changed opportunities.