Every EA seller has a backtest. Almost none of them have anything else. That gap is worth understanding before you trust one with real money.

Why backtests are so easy to manufacture

A backtest runs a strategy against historical price data and reports how it would have performed. This sounds objective, but it's remarkably easy to produce an impressive-looking result without the strategy having any real edge at all:

Curve-fitting. If you adjust a strategy's parameters enough times against the same historical data, you will eventually find a combination that happens to perform brilliantly on that specific period — not because the logic is sound, but because you've essentially reverse-engineered a fit to the noise. This is one of the most common (and hardest to detect from the outside) ways a backtest misleads.

Selective date ranges. Running a backtest only across a period where the strategy's particular bias happened to align with the market's behavior produces a very different result than running it across a full market cycle that includes ranging, trending, and volatile conditions.

Unrealistic execution assumptions. A backtest that doesn't properly account for real spread, slippage, and execution delay can show a strategy performing meaningfully better than it ever would on a live account.

No verification the file being sold matches the backtest. Even a genuine, honestly-produced backtest doesn't guarantee the compiled file you actually receive runs the same logic — there's no independent way to verify it from a backtest report alone.

Why "live results" solves a completely different problem

A live trading record can't be curve-fit after the fact — every trade already happened, in real market conditions, with real spread and real execution. This doesn't make live results a guarantee of future performance (nothing is), but it does eliminate the most common ways a backtest gets manufactured to look better than the underlying strategy actually is.

The honest caveat: a live record is only as trustworthy as its verification. A screenshot of a P&L number proves nothing on its own — what matters is whether the trades are logged automatically, in real time, by the system itself, rather than curated or selectively reported after the fact.

What to actually look for before trusting a track record

  • Is the trade history automatically reported, trade by trade, as positions close — or manually compiled and potentially cherry-picked?
  • Does the record include losing trades, or does it conveniently only ever show winners?
  • Is there a public, ongoing history you can check yourself, rather than a static screenshot that stops updating the moment it stops looking good?
  • Does the seller explain what the machine learning or filtering component is actually trained on — real live outcomes as they accumulate, or just a one-time backtest curve dressed up as "AI"?

What this looks like done honestly

QMS Trading's trade history page shows every trade automatically reported by the live EA, updated in real time — including losses. The homepage's pips-growth chart is computed from that same real data, not a manufactured curve, and shows an honest empty state rather than a fake number when there isn't yet enough trade history to display. See how the ML filtering is actually trained on live outcomes rather than a static backtest.

A backtest can tell you a strategy's logic is sound in theory. Only real trades, honestly reported, can tell you it survives contact with a live market.