We don't sell evaluations and we don't earn anything if you buy one, so here's the version without a pitch attached.
The case for
Capital access without capital. A trader with a genuine edge and $2,000 to their name can control a much larger notional position than their own account allows. That's the entire value proposition, and for a small number of traders it's real.
Imposed risk rules. The drawdown and daily limits are stricter than most people apply to themselves. Traders who need external structure sometimes perform better under it.
Limited downside per attempt. Your loss is capped at the evaluation fee. You can't lose more than you paid, which is not true of a leveraged personal account.
A measurable standard. Passing is a concrete, unambiguous test of whether your process survives constraints.
The case against
The fee is a real, recurring cost. Evaluations typically cost somewhere between $50 and $600 depending on account size, and a retry is another fee. Three attempts on a mid-size account can exceed the capital you'd have needed to trade a small personal account outright.
Pass rates are low. Public figures published by various programmes cluster in the single digits to low teens for traders who both pass an evaluation and receive a payout. Treat any specific number with caution — methodology differs and firms have an interest in the framing — but the direction is consistent.
Rules can conflict with your strategy. Swing traders meet weekend-holding restrictions. News traders meet event restrictions. High-variance strategies meet consistency rules. An edge that works can still be structurally incompatible with a given rulebook.
Counterparty risk. You're relying on a company to honour payouts and to still exist next year. The industry has seen firms change terms, restrict instruments, or close.
Psychological cost. A fee-backed deadline adds pressure most traders don't need while learning. Pressure is the direct cause of the sizing errors that fail evaluations.
Run the arithmetic for yourself
Here's the honest expected-value frame:
EV = (P(pass) × expected payout) − (expected attempts × fee)The variable that dominates is P(pass), and the only honest input is your own track record.
If you don't have at least 100 recorded trades with positive expectancy, P(pass) is not a number you can estimate. In that case the expected value is negative by default, because you're paying for a lottery ticket priced as a test.
Use the win rate and expectancy calculator on your actual journal, then the risk of ruin calculator to see whether your sizing would survive the evaluation's drawdown at all.
