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How to Backtest Render AI Trading Strategies on KuCoin


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


Quick Q&A

What’s the first filter?
Structure + open interest.
How to avoid chasing?
Retest entries; confirm with order-book imbalance.
What kills good trades?
Fees/funding + oversizing. honestly it’s boring but true.
Exit idea?
Scale out in parts; protect with max daily loss limit.

What to log

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

ThingWhat to do
Choppy marketLower leverage, fewer trades, wait for clean levels.
Trending marketLet winners run, trail stop, don’t over-take-profit.
High fundingReduce hold time or wait for better entry.


Leverage is risky—use money you can afford to lose. Rules differ by exchange; check margin and liquidation details on your platform.


Wrap: Protect the account first; profits come second.

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.