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Home ai fraud detection isolated margin checklist Step-by-Step Guide to Pyth Network Leverage Trading on MEXC

Step-by-Step Guide to Pyth Network Leverage Trading on MEXC


Memo: Here’s the “I wish someone told me earlier” version. Instrument: XMR perp on MEXC. Entry focus: 1h.


Lab notes

  • Hypothesis: trend continuation works best when liquidation clusters aligns with structure.
  • Trigger: retest on 1h after impulse.
  • Invalidation: close beyond the level + ATR buffer.
  • Risk: cooldown after 2 losses + max daily loss limit.

# journal template
entry_reason:
entry:
stop:
targets:
fees+funding:
result:
lesson:

What to log

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

One-sentence rule

If structure is unclear, I do nothing. If it’s clear, I risk small and follow the plan.


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


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.