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Home bnb margin review How to Build an AI Trading Bot for ZetaChain on Kraken

How to Build an AI Trading Bot for ZetaChain on Kraken


No hype—just the parts that actually matter. Focus: ZetaChain contracts on Kraken.


Risk first

Decide max loss on the idea before entry. If you can’t say the number, you’re not ready.


ThingWhat to do
Position sizeStop hit should be annoying, not fatal.
LeverageLower leverage on chop days.
Stopscale out in 2-3 parts + buffer away from obvious wicks.
Daily limitStop trading when you hit the cap.

Heads-up: Common mistake: using high leverage on a choppy day. Fix it by slowing down and sizing smaller.


Leverage is risky—use money you can afford to lose. Educational only, not financial advice.


Wrap: If it feels like gambling, size down. Immediately.

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.