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Case Study, Tomas: Four Failed Evaluations and the Rules Nobody Read

Tomas is a composite character. He bought four funded-account evaluations at 250 dollars each, for 1,000 dollars, and failed all of them. He trades with 2 percent risk per trade, and the program allows a 5 percent daily loss and a 10 percent total drawdown.

Reconstruct the failures. At 2 percent per trade, three consecutive losses cost about 5.9 percent, which breaches the 5 percent daily limit in one bad morning. Five losses in a row cost 9.6 percent, close to the total limit.

How likely is a three-loss streak? At a 45 percent win rate, 0.55 cubed is 16.6 percent for any three consecutive trades. Over a typical evaluation with 60 trades, at least one such streak is almost certain, and the daily limit gets triggered.

What would a fitting risk be? To survive an eight-loss streak within a 10 percent drawdown, with a safety margin of 40 percent, the risk is about 0.75 percent per trade. Three consecutive losses cost 2.2 percent, comfortable for the daily limit.

At 0.75 percent, the profit target of 8 percent needs about 10.7R net. If expectancy is 0.2R per trade, that takes about 53 trades.

What about time? If trades arrive at five a week, that is eleven weeks. Tomas wanted to pass in two weeks, which forced larger risk.

Lesson. The rules define the maximum viable risk. Position sizing must start from the rules. Passing quickly and passing at all are different goals.

Practical change: simulate the evaluation on demo first with the firm's exact rules.

Exercise: compute the largest risk per trade that keeps a three-loss day within a 5 percent limit.

The composite is very realistic. Two percent per trade with a 5 percent daily limit leaves only two full losses per day, which is very little room for normal variance.

The change that usually helps most is cutting risk to 0.5 or 0.75 percent and adding a personal daily stop well below the firm's limit, for example 2.5 percent. It makes passing slower, but much more likely.

The streak calculation explains the failures clearly. At 2 percent risk, three consecutive losses cost about 5.9 percent, which breaches a 5 percent daily limit. At a 45 percent win rate, the probability that any given three trades are all losses is about 16.6 percent. Over 60 trades, with many overlapping three trade windows, the chance of at least one three loss streak is very high. And if Tomas takes several trades a day, three losses on the same day becomes quite likely within the first few weeks. His risk level made failure almost inevitable, regardless of his skill.

Reading Tomas's story felt familiar, because my second evaluation ended almost the same way. I risked 1.5 percent a trade, had three losses before the London lunch hour, and the daily limit was hit with the day barely started. I paid for the retry the same night, which was my second mistake.

What fixed it for me was the personal daily stop mentioned above. I set mine at 40 percent of the firm's limit and wrote it on a card next to the monitor. If I hit it, the platform gets closed, no exceptions. I also dropped risk to 0.5 percent, and the first time I passed it took nine weeks, much slower than the two I had hoped for.

The demo run with the firm's exact rules is a good idea, but I would add one thing: run it for a full month, including at least one news heavy week, because that is where the daily limit usually breaks.

The fitting risk calculation is a useful method. Starting from the drawdown limit, choosing a streak length to survive, and adding a safety margin gives a maximum risk per trade. At 0.75 percent, eight consecutive losses cost about 5.8 percent, well inside the 10 percent limit. Three losses cost about 2.2 percent, comfortably under the daily limit. The cost is time: at 0.2R expectancy, the 8 percent target needs about 53 trades. That's the honest trade off. Passing an evaluation safely takes longer than most traders want, and trying to rush it is what causes most failures.

The time pressure is the root of the problem. Tomas wanted to pass in two weeks, which forced him to take larger risks, which made failure likely. Many evaluations have no time limit now, or a generous one, so the pressure is often self imposed. Even with a time limit, calculating whether the target is achievable at a safe risk level before buying the evaluation is essential. If it isn't, the evaluation doesn't suit the strategy, and buying it is effectively paying for a lottery ticket. The 1,000 dollars spent on four failures could have funded a lot of careful practice instead.

Reading the rules before trading, as the case title suggests, is the first lesson. Each firm has different limits, different definitions of daily loss, different rules on holding through news or weekends, and different minimum trading days. A simple table comparing the rules against the strategy's characteristics, such as typical streak length, trade frequency, and holding time, shows quickly whether the evaluation is a good fit. Tomas is a composite, but his story is very common. Has anyone here recalculated their risk to fit an evaluation's limits, and did it help you pass?