If the chart’s messing with your head, read this once. Focus: Dogecoin vs Ethereum Classic contracts on Bybit.
Quick Q&A
- What’s the first filter?
- Structure + liquidation clusters.
- How to avoid chasing?
- Retest entries; confirm with MACD.
- What kills good trades?
- Fees/funding + oversizing. lowkey it’s boring but true.
- Exit idea?
- Scale out in parts; protect with max daily loss limit.
Heads-up: Common mistake: trading when you’re tired or tilted. 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
Educational only, not financial advice. Rules differ by exchange; check margin and liquidation details on your platform.
Wrap: Keep it boring and repeatable—your future self will thank you.
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.