Aivora AI-native exchange insights
Home risk score vs volatility regime on ai crypto futures platform How to Backtest dYdX AI Trading Strategies on KuCoin

How to Backtest dYdX AI Trading Strategies on KuCoin

Alright, let’s do this the clean way. Focus: SOL contracts on KuCoin.


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.

Insight: Common mistake: trading when you’re tired or tilted. Fix it by slowing down and sizing smaller.


Funding, fees, and slippage can flip a “good” idea fast. 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.