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Amedeo, combined. The minus 17.6 R is the sum over all four index markets on the worst day of that month, about 35 trades a day in total, and I did not split it per market. That is the number the firm sees. The daily correlation between the markets was only moderate, 0.39 between DAX and Nasdaq, yet the red days were red nearly everywhere at once. The same replay also showed that 0.25 percent was still too much for the whole month, because the drawdown went past the 10 percent overall limit, so all four markets together would have needed about 0.15 percent per trade.
On the scaling, smooth. The multiplier is 1.0 at the equity high and falls linearly to 0.40 at an 8 percent drawdown, measured on equity including floating, so an open losing trade already shrinks the next one, and it comes back up by itself as equity recovers. The only step is the daily lock, straight to zero with everything closed.
How many of you have lost a prop firm challenge because of the loss limits (daily or maximum), and not because of the strategy?
Chris, “one number in money for all open positions” is the right way to see it, since the limit doesn’t care which symbol caused the loss.
One more thing I would put into that number: spread widening at rollover.
On many prop firms the daily limit resets around midnight server time, which is also when rollover happens and spreads widen. Floating P/L is calculated at the current bid/ask, so even without any price gap, a wider spread pushes the floating loss up on every open position right at the start of the new day. If the account is already close to the limit, that short spike alone can be enough to breach it.
At the weekend open it is usually worse, with thin liquidity on metals and indices.
So I would add a spread buffer on top of the gap buffer, or simply avoid holding through rollover when the room left is small.
Thanks Timon-pascal, that answers it. 17.6 R combined across four markets, with only 0.39 correlation and still red almost everywhere on the worst day. That is what many people miss: correlation goes up exactly when it hurts.
Abdullah, thanks. A separate budget per EA, so one grid can’t spend the whole daily quota, is a very good way to look at it. The alert at 50% and 75% is simple but smart.
Chris, thanks for explaining how the day went with positions still open.
One question for Timon-pascal: did you pick the 0.15% per trade from that one replay month only, or did you also check it on other periods?
I'd add one practical step: record the reason for each failed challenge separately from the trading result.
Was it a planned loss within the strategy, an oversized position, several trades exposed to the same move, or trading again after the daily stop?
Those need different fixes. A reminder won't fix oversized exposure, and changing the entry strategy won't fix revenge trading.
Before another attempt, I'd replay the failed day using the exact firm's rules and a written personal stop. If the same decisions would still breach the limit, I'd change the process before paying for another challenge.
The question is, did you fail because of the loss limits, or did the loss limits expose a weakness in your strategy?
Amedeo, that was one month, so the question is fair. I did run the long history afterwards on the six older setups across the same four indices, 11.4 years and about 66,500 trades. The worst single day in all of it was minus 17.4 R, so that August day was about as bad as a day got in eleven years. The overall limit was the harder constraint. Three quiet years from 2015 to 2017 produced a drawdown of 449 R without one terrible day in it, just a slow grind, and to keep the whole period inside 10 percent the raw book without any scaling would have needed about 0.07 percent per trade. So for me the worst day sets the daily cap and the grind sets the size. I also trust that long run less than the month, because my old backtest engine later turned out to book profits even on random data, which makes its drawdowns look smaller than they were. I never measured the correlation on red days separately, but the red days I checked were red almost everywhere at once, which fits what you say.