Expensive fellow merchants,
Within the huge and various world of Professional Advisors (EAs), discovering a dependable one to entrust your capital to is all the time a difficult process. Amidst numerous commercials and guarantees of “big” income, transparency turns into the “guiding star” resulting in smart funding choices.
Have you ever ever questioned if the “dreamy” backtest outcomes offered by EA suppliers really mirror precise buying and selling efficiency? Can an EA “survive” and generate secure income when going through the unpredictable fluctuations of the stay market?
On this article, we’ll discover this query by conducting a particular backtest, not on distant historic information, however on precise stay market information. We’ll use an instance EA referred to right here as “Instance EA” for example how backtesting on stay information can present a extra sensible view of an EA’s efficiency.
Backtest Interval: From Stay Commerce Begin to Current
To supply essentially the most goal and sensible view, we’ve got backtested Instance EA throughout the interval from March 2nd, 2025, to at this time, March twenty first, 2025. This timeframe is critical as a result of it mirrors the precise market circumstances the EA encountered throughout stay buying and selling. Testing on stay information like this provides a clearer image of how an EA performs in comparison with conventional historic backtests.
Backtest Parameters
The stay account began with $100,000, so we aligned the backtest parameters accordingly:
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Preliminary Capital: $100,000
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Leverage: 1:100
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Danger Degree: 3
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EA Configuration: Each Algo 1 & 2 operating concurrently
Backtest Outcomes: Uncooked Information
Right here’s a abstract of the MT5 backtest outcomes we obtained:
(Desk Word: Particular figures aren’t included right here, however an entire desk would checklist key metrics resembling:)
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Complete revenue generated throughout the backtest interval. |
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Variety of trades executed by the EA. |
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Largest drop in account steadiness. |
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Moreover, we reviewed information from the stay commerce account. The revenue proven there, after accounting for fee and swap charges, barely exceeded the backtest outcomes, providing an attention-grabbing comparability.
Key Observations
Backtest outcomes, regardless of how spectacular, are solely previous references and don’t assure future efficiency. Nevertheless, backtesting on stay information, particularly over a current interval like from March 2nd to March twenty first, 2025, offers distinctive authenticity. Not like cherry-picked historic assessments, this technique displays actual market challenges—volatility, slippage, and all.
This method avoids “portray” the previous with idealized outcomes. As a substitute, it provides an unfiltered take a look at how an EA like Instance EA behaves in a stay surroundings, giving merchants a extra dependable benchmark for analysis.
Why This Issues
Transparency in testing is important for understanding an EA’s strengths and limitations. Sharing outcomes from stay information isn’t about proving superiority—it’s about offering a sensible instance of how backtesting can align with real-world efficiency. Merchants can use this technique to evaluate any EA they’re contemplating, gaining confidence of their evaluation.
Let’s continue learning and sharing data to grow to be higher, extra knowledgeable merchants. Right here’s to profitable buying and selling and considerate decision-making!
