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Reviews and comments sit on every product page, and most buyers glance at the stars and move on. The star average blends installation experiences, one bad month and the occasional real report into a single number that carries almost none of what you need.
What a five-star review from the first week tells you
A review posted a few days after purchase describes the installation and the seller's manners. None of that touches the strategy, because a strategy has not done anything in three days. Those reviews are not false. They are about a different product from the one you are buying, which is the next year of trades.
What a one-star review after a losing month tells you
A one-star review written right after a drawdown describes the market. Every EA has losing months; the description usually says so and the backtest usually shows several. Read it for one thing only: whether the EA did something the description did not say it would do. If the complaint is losses of the size the backtest showed, you have learned about the reviewer, not the product.
The review worth reading
The useful review states the account type, the preset, how long it ran and whether the behaviour matched the description. "Six months on a standard account with the default set, trades the hours it says, drawdown about what the backtest showed" is worth more than twenty stars.
Review counts follow sales, not quality
A product with two reviews after a long time on the market is not suspicious; it has sold to a small number of people, most of whom never write anything. A product with eighty short, nearly identical five-star reviews deserves a closer look, because real buyers do not write the same sentence. Count the reviews that contain a fact. That number is usually in single digits whatever the total, and it is the only count that means anything.
The comment thread is where the seller is
Reviews are written by buyers; comments are answered by the seller, and those replies are the part of the page that predicts your experience. Find a comment that reports a problem and read the reply. A seller who asks for the journal, ticket numbers and the set file is trying to reproduce it. A seller who answers with reassurance and a request for patience is not. Notice whether rental reviews and purchase reviews differ; renters report sooner and with less attachment. And look for whether the seller has ever mentioned a losing period without being asked. A seller who has posted one is telling you they will post the next one too.
A five-minute routine
Sort the comments by newest. Read the three most recent posts that report a problem and the seller's reply to each. Then go to the oldest reviews and check whether the product they describe is still the product on the page. If the description has drifted and the old reviews no longer match it, the product has changed and the score has not. A review tells you about the reviewer's month; the comment thread tells you about the seller's next year.
Our three best-selling EAs: GOLD NEURON (AI) https://www.mql5.com/en/market/product/187329 · ATLAS PORTFOLIO https://www.mql5.com/en/market/product/182751
Our published backtests state period, balance and settings, and our forward accounts are labelled as demo accounts wherever we show them. The full list: fxea365.com/ea/ranking


