Catalogue

Guides

Practical guidance for finding, building, testing, and running MT5 EAs — organised into five pillars: EAs & auto trading, EA development, backtesting, the MT5 platform, and EA research.

Backtesting & verification 13 min

Reading an MT5 Backtest Report: 23 Reports, and What Each Headline Leaves Out

An MT5 backtest report is a claim about one set of trades on one price history, and both halves move the numbers. We read all 23 reports published here: 14 of the 20 that publish both slices flatter the period the EA was selected on, one report covers only 303 of its own 315 trades, and the same EA re-run on a different data source went from 1.35 and a pass to 1.13 and a fail.

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EA development & Builder 17 min

How to Create an MT5 EA Without Coding (and What the Templates Actually Score)

Assemble an Expert Advisor from blocks in a browser, compile it to a real .ex5, and test it before it ever sees money. Includes the number nobody quotes: what the 84 shipped starter templates score at their stock settings, measured from the Builder's own records.

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EAs & auto trading 11 min

Are Expert Advisors Profitable? What 9,702 Backtested Trades Show

Every EA published here closes its backtest with a profit factor above 1 — and ten of the fourteen still had a losing calendar year. Here is what the full closed-trade record says about when an EA makes money and what you have to sit through to collect it.

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EAs & auto trading 10 min

EA vs Manual Trading: The Difference Is Whether You Can Sit Still

Comparing an EA against discretionary trading usually turns into an argument about judgement. Replaying 9,702 published trades under the stop rules a human would actually use gives a sharper answer: switching off after three losses in a row would have cost 93% of the catalogue's result.

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EA development & Builder 12 min

How to Build a MACD EA in MT5 Without Coding (and Why Its Best Result Was the Most Dangerous One)

Wire a MACD crossover Expert Advisor from blocks in a browser, compile it to a real .ex5, and read its numbers honestly. Includes the result that should worry you most: the Builder's own parameter search found a MACD setting that scored 1.14 out of sample, then collapsed to 0.74 on the window before it.

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Backtesting & verification 12 min

MT5 Parameter Optimisation: 116 Combinations, 252 Runs, 0 Settings We Shipped

We ran parameter searches on eight of our own strategy templates and adopted none of them. The useful part is how each one failed: the biggest in-sample winner fell the furthest, one design passed a single out-of-sample check and still collapsed, and two never beat 1.0 even on the period they were fitted to. Here is the procedure, and the reading that stops you shipping the top row.