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AI-Driven Portfolio Management for Curve Contract Traders


If the chart’s messing with your head, read this once. Focus: ETH contracts on MEXC.


Beginner flow

  1. Pick 5m and use EMA(50) as your direction filter.
  2. Plan entry / stop / take-profit before clicking.
  3. Start low leverage and use a hard stop-loss.
  4. Journal one lesson after the trade.

Tip: Common mistake: changing the plan mid-trade because of one candle. 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.