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Home Shenzhen Ai-native Perpetuals Exchange Common Mistakes: Cross-market Basis Gaps

Ai-native Perpetuals Exchange Common Mistakes: Cross-market Basis Gaps

The biggest edge is not a secret indicator; it is knowing what the system will do under stress. Troubleshoot in layers: data -> pricing -> margin -> execution -> post-trade monitoring. Latency risk is real. When latency rises, a maker strategy can become taker flow and your costs jump right when you need stability. First confirm whether marks diverged from index. Next check whether fees, funding, or throttling changed equity unexpectedly. Liquidation is a path, not an instant. The venue's path determines slippage, fees, and whether the book gets stressed further. Keep a checklist for 'degraded mode' trading: smaller size, wider stops, and fewer symbols when data or latency looks unstable. Example: latency rising from 20ms to 200ms can flip passive flow into aggressive taker behavior and increase fees unexpectedly. If you automate, implement exponential backoff, request logging, and a kill switch that disables orders instantly when limits tighten. Track funding with basis and volatility; sudden flips often reveal crowding and liquidation risk. Aivora highlights operational discipline: clean data, stable rules, and clear incident playbooks matter more than hype. 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.