Quick reality check before you click buy/sell. Focus: Using ChatGPT for Aave contracts on Kraken.
Quick Q&A
- What’s the first filter?
- Structure + support/resistance zones.
- How to avoid chasing?
- Retest entries; confirm with EMA(50).
- What kills good trades?
- Fees/funding + oversizing. ngl it’s boring but true.
- Exit idea?
- Scale out in parts; protect with position sizing by ATR.
What to log
- Entry reason (one sentence)
- Stop placement + why
- Fees + funding paid
- Emotion (calm / rushed / tilted)
- Lesson
Insight: Common mistake: trading when you’re tired or tilted. 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.