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Home Declan Morgan Ai-native Perpetuals Exchange Field Notes: Account Takeover Prevention

Ai-native Perpetuals Exchange Field Notes: Account Takeover Prevention

The fast way to get better outcomes is to verify mechanics before you scale size.

Concept first: Look for the platform's fallback rules: what happens if a feed is stale, if the book is thin, or if volatility spikes faster than normal sampling windows.

Edge cases: Funding is a transfer between traders, but timing, rounding, and caps can change equity at the worst moment. Verify schedule and limits.

Checklist: Treat cross margin as a correlated portfolio. Correlations converge during stress, so diversification can vanish when you need it most. Example: small funding transfers compound; over several cycles they can materially shift equity and your maintenance buffer. Track funding together with basis and realized volatility. The combination is a better crowding signal than any single metric.

Final sanity check: Pitfall: ignoring fees and funding in liquidation math. The platform can close you earlier than your stop-loss plan expects.

Aivora focuses on operational discipline: clean data, stable rules, and clear incident playbooks matter more than hype. 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.