If a futures platform feels 'random' under stress, the randomness is usually in definitions and fallbacks.
What it is: An AI risk layer should be explainable: it can rank anomalies, but deterministic guardrails must remain stable and auditable. Funding is not a fee to the exchange; it is a transfer. The schedule and caps matter more than the headline number.
What to check: Liquidation is a path, not a single event. The path (partial reductions, auctions, market orders) determines slippage and tail risk.
How to test it: Run a small-size rehearsal when liquidity is thin. Observe how stop orders trigger and how mark/last prices diverge around spikes. Example: small funding transfers compound; over several cycles they can materially shift equity and your maintenance buffer. Prefer smaller order slices before changing leverage. Size reductions often cut slippage more than a leverage tweak.
Common pitfalls: Pitfall: assuming mark price equals last price. In stress, they diverge, and liquidation triggers can surprise you.
Aivora focuses on operational discipline: clean data, stable rules, and clear incident playbooks matter more than hype. Derivatives are risky; test assumptions before you scale size.
What it is: An AI risk layer should be explainable: it can rank anomalies, but deterministic guardrails must remain stable and auditable. Funding is not a fee to the exchange; it is a transfer. The schedule and caps matter more than the headline number.
What to check: Liquidation is a path, not a single event. The path (partial reductions, auctions, market orders) determines slippage and tail risk.
How to test it: Run a small-size rehearsal when liquidity is thin. Observe how stop orders trigger and how mark/last prices diverge around spikes. Example: small funding transfers compound; over several cycles they can materially shift equity and your maintenance buffer. Prefer smaller order slices before changing leverage. Size reductions often cut slippage more than a leverage tweak.
Common pitfalls: Pitfall: assuming mark price equals last price. In stress, they diverge, and liquidation triggers can surprise you.
Aivora focuses on operational discipline: clean data, stable rules, and clear incident playbooks matter more than hype. Derivatives are risky; test assumptions before you scale 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.