Trust layer for regime stability, live GEX freshness, spot-vol behavior, and alert readiness
1. Check gamma structure
Start with live and historical GEX panels to see whether dealer positioning should dampen or amplify moves.
2. Validate volatility behavior
Use spot-vol, heat map, and smile panels to confirm whether implied volatility is behaving normally.
3. Trust or discount outputs
Use stationarity and alert diagnostics to decide whether downstream probability and notification outputs deserve weight.
Built from Amberdata option gamma/GEX snapshots. Use these panels to identify whether dealer hedging is likely to dampen moves, amplify moves, or concentrate risk around specific strikes.
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Built from spot history and IV surface snapshots. Use this section to see whether spot and implied volatility are moving in their normal relationship, and whether the current smile is rich, cheap, or sparse.
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This is the model-confidence layer. It checks whether historical gamma-regime return relationships still look valid in the selected lookback before relying on conditional probability outputs.
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Alerts are operational rules, not the stationarity model. Use dry run to preview the Slack payload, then send only when the alert has been reviewed.
Refresh recomputes the current alert queue from rule thresholds. Dry run previews the Slack dispatch without sending; disabling dry run sends the reviewed alerts to the configured webhook. Alerts are triage items, not trade approvals.
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