What is an Expert Advisor (EA)?

Quick Answer

An Expert Advisor is an automated trading program—especially on MetaTrader—that executes trades according to coded rules.

Understanding Expert Advisors (EAs)

An Expert Advisor (EA) is an automated trading program—most commonly associated with MetaTrader—that executes trades according to predefined rules. EAs remove manual decision-making, enabling consistent execution and allowing traders to run multiple strategies simultaneously.

Building and Deploying

  • Define the idea: Outline entry, exit, and risk rules grounded in a proven edge.
  • Code the logic: Use MQL, Python bridges, or APIs. Document assumptions and parameters.
  • Backtest properly: Employ high-quality tick data, account for spreads and slippage, and avoid look-ahead bias.
  • Forward test: Run on demo or small live accounts to compare real-time results with backtests.

Infrastructure Needs

Host EAs on a reliable VPS, implement logging, and monitor execution metrics to troubleshoot latency or broker issues.

Risk Management

Set maximum drawdown limits, daily loss caps, and manual override procedures. Diversify across uncorrelated EAs to smooth performance and periodically review whether market regimes still suit each strategy.

Due Diligence

Many commercial EAs are black boxes with inflated marketing claims. Demand verified track records, understand the underlying logic, and test thoroughly before risking capital. Keep source code versions controlled and document changes to avoid accidental curve-fitting.

Automation Isn’t Set-and-Forget

Market conditions evolve. Review performance regularly, disable EAs when behavior deviates, and ensure someone monitors trades during major news events.

Advanced Guidance

Build a repeatable, rules‑based process so decisions are consistent across sessions and instruments. Start from context (higher‑timeframe structure, positioning, macro tone), then define precise triggers and invalidation on execution charts. Track spread and depth so your order type matches conditions. Pre‑compute scenarios (breakout, fakeout, mean‑revert) and map actions for each to reduce hesitation.

Execution Framework

  • Plan entries at levels with confluence (structure, momentum, time‑of‑day).
  • Place stops beyond the logical invalidation, not arbitrary distances.
  • Target at least 2–3R; scale out methodically and trail remainder.
  • Avoid thin liquidity windows unless the setup explicitly requires it.
  • Record slippage and spreads; poor fills can erase edge.

Review Loop

  • Journal setups by session and pair to learn where they excel.
  • Tag trades by catalyst (news, trend continuation, range breakout).
  • Recalculate expectancy monthly; prune underperforming variants.

Risk Controls

Keep daily loss limits, reduce size after consecutive losses, and pause during regime shifts. Survival enables compounding; treat discipline and execution quality as part of your edge.