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Home initial margin vs leverage cap on ai derivatives exchange AI-Based Stop Loss Optimization for ChainGPT Futures

AI-Based Stop Loss Optimization for ChainGPT Futures

Quick reality check before you click buy/sell. Focus: SOL contracts on Bitget.


Quick Q&A

What’s the first filter?
Structure + MACD.
How to avoid chasing?
Retest entries; confirm with ATR(14).
What kills good trades?
Fees/funding + oversizing. lowkey it’s boring but true.
Exit idea?
Scale out in parts; protect with cooldown after 2 losses.

What to log

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

Insight: Common mistake: revenge trading after a quick loss. Fix it by slowing down and sizing smaller.

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.

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


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.