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Home Sebastian Turner Anomaly Detection Baselines What to Verify - AI Perpetual Futures Platform

Anomaly Detection Baselines What to Verify - AI Perpetual Futures Platform

If a futures platform feels 'random' under stress, the randomness is usually in definitions and fallbacks.

The mechanism: Write down the exact references used: index price, mark price, and last price. Then confirm which reference drives margin checks and liquidation triggers.

Where it breaks: Liquidation is a path, not a single event. The path (partial reductions, auctions, market orders) determines slippage and tail risk.

A simple test: Track funding together with basis and realized volatility. The combination is a better crowding signal than any single metric. Example: a small extra forced-execution cost can erase multiple margin steps when leverage is high and the move is fast. If you automate, use scoped API keys, IP allow-lists, and exponential backoff. Limits often tighten exactly when volatility rises.

What to do next: Pitfall: treating automation as set-and-forget. Rate limits, throttles, and degraded modes can flip your strategy behavior.

In Aivora notes, transparency beats cleverness when markets get loud. This note is about system mechanics; outcomes are your responsibility.

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.