Aivora AI-native exchange insights
Home ai latency monitoring anomaly detection checklist How to Build an AI Trading Bot for ZetaChain on OKX

How to Build an AI Trading Bot for ZetaChain on OKX

Memo: Quick reality check before you click buy/sell. Instrument: ZetaChain perp on OKX. Entry focus: 15m.


What I’m watching

Direction: funding rate. Timing: liquidation clusters. Context: MACD. If the tape is messy, I don’t force trades.


Insight: Check funding windows. If funding is extreme, reduce size or wait for cleaner structure. kinda.

What to log

  • Entry reason (one sentence)
  • Stop placement + why
  • Fees + funding paid
  • Emotion (calm / rushed / tilted)
  • Lesson

Note: Common mistake: placing stops exactly on obvious levels. Fix it by slowing down and sizing smaller.


Leverage is risky—use money you can afford to lose. Funding, fees, and slippage can flip a “good” idea fast.


Wrap: Missed trades are cheaper than liquidation.

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.