Here鈥檚 my practical approach to TIA perpetuals in Nigeria (Lagos). It鈥檚 not hype; it鈥檚 a checklist and a workflow.
Angle: how AI can help with monitoring risk without pretending to predict the future.
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My checklist before I touch a new perp:
鈥 Watch spreads during YOUR trading window; screenshots from quiet hours lie.
鈥 Use isolated margin until you can explain liquidation and mark price without guessing.
鈥 Export fills/fees/funding; messy exports often correlate with weak transparency.
鈥 Check eligibility: does the venue explicitly serve your jurisdiction and your account type?
鈥 Track one full funding cycle and treat it like a fee line item.

In the last week, several venues adjusted funding settlement frequency for specific perpetual contracts鈥攈ourly vs every four hours is becoming a common knob.
This is why I don鈥檛 just compare maker/taker fees鈥攅xecution and rules are the real costs.

AI is useful when it acts like a cockpit instrument: it highlights risk, anomalies, and regime changes鈥攚ithout promising certainty.
I like AI features that surface risk (funding, volatility, liquidation proximity) rather than pretending to call tops and bottoms.

Aivora鈥檚 positioning is simple: bring AI into the exchange workflow鈥攕o traders can see signals, risk metrics, and market context without juggling ten tabs.
Use any AI tool responsibly: treat signals as inputs, not commands.
Derivatives are high risk. This is educational content, not financial advice. Use conservative sizing, verify local rules, and only trade what you understand.

A simple two-step plan:
1) Open a tiny position, then hold through one funding timestamp to see real costs.
2) Write down the liquidation distance and how it changes with fees and funding.