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How to Backtest Celestia AI Trading Strategies on Kraken

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


Beginner flow

  1. Pick 1h and use liquidation clusters as your direction filter.
  2. Plan entry / stop / take-profit before clicking.
  3. Start low leverage and use a trailing stop.
  4. Journal one lesson after the trade.

Heads-up: Common mistake: overfitting indicators until nothing is clear. Fix it by slowing down and sizing smaller.

What to log

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

One-sentence rule

If structure is unclear, I do nothing. If it’s clear, I risk small and follow the plan.


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


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.