Prop firm challenges have created a new question in the EA market: not can this system make money, but can it pass a challenge without breaching the rules. Those are different problems, and most EAs fail the second one even when they solve the first.
The rules that kill most EAs
A standard FTMO-style challenge: reach +10% profit (Phase 1), never lose more than 10% from your starting balance or your peak, never lose more than 5% in a single day, all within a time window. Three EA categories are structurally eliminated:
- Martingale and grid systems: their occasional deep equity dips guarantee an eventual breach.
- High-risk single-strategy systems: a normal losing streak at 2%+ risk per trade walks straight through the 10% limit.
- News scalpers: many firms restrict news trading, and slippage during releases can spike daily loss past 5% in minutes. Some firms do allow news trading at 1:30 leverage, which is the environment our simulation assumes.
What the simulation shows
We tested our combined system against these rules across every possible starting month in 11 years of data. The drawdown check is strict: measured from both the starting balance and the trailing peak, so two moderate losing months in a row correctly count as a breach if they cumulatively pass 10%.
| Risk per strategy | Phase 1 pass rate | Avg months to target | Bust rate |
|---|---|---|---|
| 0.25% | 74% | 7.4 | 0% |
| 0.5% | 100% | 5.3 | 0% |
| 1% | 91% | 3.0 | 9% |
| 2% | 89% | 1.9 | 11% |
The counterintuitive sweet spot
Notice that 0.25% never busts but often runs out of time, while 1% is fast but busts in the worst historical sequences. The 0.5% setting threads the needle: every single historical 12-month window passed Phase 1, averaging around five months. Slower than the aggressive settings, but a 100% historical pass rate is the number that matters when a failed challenge costs you the fee and the account.
Run the numbers yourself with your own account size and phase in the interactive challenge simulator on our site. And treat every simulation honestly: daily drawdown cannot be modelled on monthly data, so real-world pass rates will be somewhat lower than simulated ones. Historical simulation is a compass, not a guarantee.
Phase 2 and the funded phase: where the strategy actually changes
Most challenge content obsesses over Phase 1 and ignores that the game changes twice afterward. Phase 2 typically halves the target (+5%) with the same drawdown rules, which mathematically favors even lower risk: our simulation shows 0.5% and even 0.25% risk settings passing Phase 2 in 100% of historical windows, because the reduced target removes the time pressure that penalizes conservative sizing. The funded phase then changes the objective entirely: there is no target at all, only rules to not break while extracting payouts. The optimal funded-phase configuration in our data is the most conservative setting that still produces meaningful monthly payouts, because a busted funded account costs you the entire future payout stream, a far larger loss than any single month's profit. Traders who carry Phase 1 aggression into the funded phase are optimizing the wrong variable, and it is the single most common way funded accounts die.
The challenge fee as an expected-value calculation
A $500 fee for a $100,000 challenge is not a $500 gamble. It is a priced bet you can compute. At the 0.5% setting's 100% historical Phase 1 pass rate and 100% Phase 2 rate, the historical expected cost of reaching funded status is one fee. At the 1% setting (91% Phase 1, 97% Phase 2), the expected number of attempts rises to roughly 1.13, so the expected cost is about $565 but you arrive months sooner, which has its own value once funded payouts begin. Neither is wrong; they are different prices for different speeds. What is wrong is the configuration most challenge buyers actually run: risk high enough that the bust probability makes the expected cost a multiple of the fee, purchased without ever computing it. Ten minutes with the simulator before buying a challenge is worth more than any amount of discipline after.