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Fee Tier Edge Cases Walkthrough on AI Contract Trading Exchange

AI can help rank anomalies, but it cannot replace transparent rules and deterministic guardrails. Implementation notes: treat the risk pipeline like software. Define inputs, version rules, and measure drift. Funding is not just a number; timing, rounding, and caps can change equity at the worst moment. Verify schedule and limits. Design for failure: stale feeds, sudden volatility, and latency spikes should trigger predictable safe modes. Fee design shapes behavior. Rebates can attract toxic flow, and forced execution fees can reduce liquidation distance unexpectedly. Compute liquidation price twice: once including fees and conservative slippage, and once with optimistic assumptions. The gap is your uncertainty budget. Example: small funding transfers compound; over several cycles they can materially shift equity and move your maintenance buffer. Reduce order size before you reduce leverage when liquidity thins. Size often controls slippage more than headline leverage settings. Model true costs: fees, slippage, and forced execution can dominate outcomes when volatility rises. Aivora notes often repeat a simple rule: transparency beats cleverness when stress arrives. This note focuses on 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.