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Choosing an EA is less about finding the one with the best-looking equity curve screenshot and more about verifying that the evidence behind it is trustworthy. The first thing to check is backtest transparency: does the seller disclose the spread, commission, and slippage assumptions used in testing, and was the test run across a meaningful range of market conditions rather than cherry-picked to one favorable period. A backtest that looks flawless is often a sign of overfitting to historical data rather than a genuinely robust strategy.
The second thing to look at is drawdown history, not just total return. A strategy that returns well but shows a smooth, gradually recovering equity curve behaves very differently under real stress than one with the same average return but occasional sharp, deep drawdowns. Understanding maximum drawdown, and how long recovery took after it, tells you more about what it would actually feel like to run the EA than the headline profit number does.
Risk settings matter just as much as the strategy logic itself. Check whether position sizing is fixed or adapts to account balance, what percentage of the account is risked per trade, and whether the EA uses martingale or grid-style scaling that increases position size after losses, since those approaches can turn a string of small losses into an account-ending one. A trustworthy EA usually exposes these settings clearly rather than hiding them inside a locked configuration.
Finally, weigh live results against hypothetical ones. A verified live track record, ideally from an independent, tamper-resistant source, carries far more weight than a backtest or a simulated demo run, because it reflects real execution, real spreads, and real emotional and technical conditions. Red flags worth walking away from include guaranteed-return language, no verifiable track record at all, and a total refusal to explain what the strategy actually does.
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