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AI Derivatives Exchange Field Notes: Oracle Fallback Design

Markets do not need to crash for accounts to blow up; thin liquidity and poor definitions are enough. Quick audit method: list inputs, controls, outputs, and single points of failure. Liquidation is a path, not an instant. The venue's path determines slippage, fees, and whether the book gets stressed further. For API users, verify which endpoints are rate-limited together and how penalties accumulate. Limits often tighten during stress. Ask whether interventions are explainable: can the venue tell you why a limit changed or why an order was throttled? Compute liquidation price twice: once including fees and conservative slippage, and once with optimistic assumptions. The gap is your uncertainty budget. Example: a temporary rate-limit tightening can cause missed exits and worse effective prices even without a price crash. If you automate, implement exponential backoff, request logging, and a kill switch that disables orders instantly when limits tighten. Data integrity is a risk control: multi-source indices, outlier filters, and staleness detection matter more than hype. Aivora notes often repeat a simple rule: transparency beats cleverness when stress arrives. Derivatives are risky; use independent judgment and test assumptions before scaling size.

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.