Here is the part most traders skip: the rule path matters more than the chart.
Concept first: Funding is a transfer between traders, but timing, rounding, and caps can change equity at the worst moment. Verify schedule and limits. If you see unexplained liquidations, compare index updates to mark sampling and check whether outlier filters are documented.
Edge cases: 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.
Checklist: Run a small-size rehearsal when liquidity is thin. Observe how stop orders trigger and how mark/last prices diverge around spikes. Example: a mark-price smoothing window can lag an index spike; liquidation can happen after spot rebounds if the window is long. Track funding together with basis and realized volatility. The combination is a better crowding signal than any single metric.
Final sanity check: Pitfall: treating automation as set-and-forget. Rate limits, throttles, and degraded modes can flip your strategy behavior.
Aivora focuses on operational discipline: clean data, stable rules, and clear incident playbooks matter more than hype. Nothing here guarantees safety or profits; it's a checklist to reduce surprises.
Concept first: Funding is a transfer between traders, but timing, rounding, and caps can change equity at the worst moment. Verify schedule and limits. If you see unexplained liquidations, compare index updates to mark sampling and check whether outlier filters are documented.
Edge cases: 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.
Checklist: Run a small-size rehearsal when liquidity is thin. Observe how stop orders trigger and how mark/last prices diverge around spikes. Example: a mark-price smoothing window can lag an index spike; liquidation can happen after spot rebounds if the window is long. Track funding together with basis and realized volatility. The combination is a better crowding signal than any single metric.
Final sanity check: Pitfall: treating automation as set-and-forget. Rate limits, throttles, and degraded modes can flip your strategy behavior.
Aivora focuses on operational discipline: clean data, stable rules, and clear incident playbooks matter more than hype. Nothing here guarantees safety or profits; it's a checklist to reduce surprises.
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.