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Comparing AI vs Manual Trading for Aave Contracts

No hype—just the parts that actually matter. Focus: XMR contracts on Binance.


Setup

Use 4h. Confirm direction with RSI(14), then use EMA(50) to avoid chasing. If they fight, you sit out—tbh that’s discipline.


Execution

  • Entry: break + retest > first impulse candle.
  • Stop: cooldown after 2 losses where the idea is invalid.
  • Exit: scale out, then time-based stop for the runner.

Tip: Common mistake: ignoring fees/funding because it ‘seems small’. Fix it by slowing down and sizing smaller.

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


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.