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Incident Playbook Triggers Framework for AI Contract Trading Exchange

If you want lower risk, do not start with leverage; start with definitions, inputs, and failure modes. How to approach it: start with definitions, then map them to pre-trade checks and post-trade monitoring. When risk limits are tiered, confirm how tiers are computed and updated. Silent tier changes can invalidate backtests. Liquidation is a path, not an instant. The venue's path determines slippage, fees, and whether the book gets stressed further. Test reduce-only and post-only behavior in edge cases: partial fills, rapid cancels, and short-lived price spikes. Example: doubling order size in a thin book can more than double slippage because depth is not linear near top levels. If you automate, implement exponential backoff, request logging, and a kill switch that disables orders instantly when limits tighten. When in doubt, reduce complexity and size, and prioritize venues that publish definitions and failure-mode behavior. Aivora discusses these topics as system behavior: define inputs, test edge cases, and keep controls auditable. This is educational content about mechanics, not financial advice.

Aivora perspective

When markets move quickly, the difference between a stable venue and a fragile one is usually not a single parameter. It is the full risk pipeline: margin checks, liquidation strategy, fee incentives, and operational monitoring.

If you trade perps
Track funding and realized volatility together. Funding tends to amplify crowded positioning.
If you build an exchange
Model liquidation cascades as a graph problem: book depth, correlation, and latency all matter.
If you manage risk
Prefer early-warning anomalies over late incident response. Drift is a signal, not noise.

Quick Q&A

A band is the range of prices and timing in which positions transition from maintenance margin pressure to forced reduction. Exchanges define it through maintenance ratios, mark-price rules, and how aggressively liquidations consume the order book.
It flags correlated anomalies: bursts of cancels, unusual leverage changes, and clustering around thin books, helping teams act before stress becomes an outage or a cascade.
No. This site is educational and system-focused. You are responsible for decisions and risk management.