The objective function is different
On a personal account, the goal is risk-adjusted growth over an open horizon. On a funded account, the goal is to reach a target without ever violating a hard constraint, where a single breach ends the account regardless of cumulative profit. These are not the same optimisation and they do not share the same optimal settings.
The practical consequence is that funded traders should almost always run below the risk level their balance would otherwise permit. You are not maximising return, you are maximising the probability of not being disqualified while making adequate progress.
Daily loss limits are the binding constraint
Most firms enforce a daily loss limit calculated from the previous day's closing balance, and many count floating equity in the calculation. A system with a shallow overall drawdown can still breach a daily limit if two losing trades land in the same session, so the daily figure — not the total figure — is what your sizing must respect.
- —Compute the worst realistic single-day loss: maximum concurrent positions multiplied by risk per position.
- —Keep that figure below 40% of the daily limit, not 90%. The margin absorbs spread widening and slippage.
- —Confirm whether your firm measures equity intraday or balance at rollover. The difference is enormous.
- —Know the exact broker server time your day resets, and never open new risk in the final hour before it.
Consistency and news rules
Several firms cap how much of your total profit may come from a single day, and many restrict trading around high-impact releases. Automation is unusually well suited to both: a rules engine does not get excited on a good day and does not need to be talked out of trading a payrolls print. Configure the news filter to the firm's published window plus a buffer, and let the machine enforce the discipline you would negotiate away.
A conservative funded template
This template will not win any speed contests to the profit target, and that is intentional. Funded accounts are lost far more often to a single rule breach than to slow progress. The trader who arrives in eleven weeks with the account intact beats the trader who arrives in three and is disqualified in the fourth.
Scaling plans change the optimal setting mid-evaluation
Most funded programmes increase allocation after a defined period of compliant trading, which means the objective is not to pass quickly — it is to still be trading in month six with a clean record. A setting that maximises the probability of passing an evaluation in nine days often maximises the probability of breaching a daily limit before the first scaling review.
Optimise for survival to the next tier
- —Model the daily loss limit as a hard constraint, not a target you approach.
- —Prefer a longer evaluation at lower risk over a fast pass at the ceiling.
- —Keep a documented buffer between your worst expected day and the breach threshold.
- —Assume the account will be reviewed by a human at some point and that consistency will be judged.
Multiple accounts, correlation and the copier problem
Running the same system across several funded accounts feels like diversification and is the opposite. Identical logic on identical symbols produces identical drawdowns on the same day, and firms increasingly monitor for correlated activity across accounts they suspect are related. The aggregate risk is the sum, not the average.
Treat the portfolio of accounts as one account
Compute your total exposure across every account you control and apply your personal risk ceiling to that total. If four accounts each risk half a percent on the same trade, the household position is two percent, and the correlation between the outcomes is one. Size accordingly, and check each firm's terms on copied or mirrored execution before you assume it is permitted.
Everything discussed here is applied on a public, third-party verified account — updated continuously, losing weeks included.