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How to Build an AI Trading Bot for dYdX on MEXC


Here’s the “I wish someone told me earlier” version. Focus: dYdX contracts on MEXC.


Checklist

  • Trend is clear ✅
  • Signals agree (liquidation clusters + open interest) ✅
  • Stop planned (time-based stop) ✅
  • Position size is sane ✅
  • Costs considered ✅

Tip: Common mistake: overfitting indicators until nothing is clear. Fix it by slowing down and sizing smaller.

The goal isn’t to win every trade. The goal is to stay in the game long enough for your edge to matter.

Funding, fees, and slippage can flip a “good” idea fast. 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.