Same trades, another order: what a thousand
reshuffles show
2026-09-03. Every audit in the catalog carries a
Monte Carlo resampling section, and every number below comes out of
those sections.
Figures checked on 3 September 2026. Counts, rankings, extremes and labels here describe the audits on record that day; audits published or rebuilt since have changed some of them, and retired audits are not current evidence. The rebuild of 29 September 2026 (the end of day series now starts at the deposit, and time under water no longer counts days at the high) moved several figures quoted below, among them Lizard's deepest episode (now from the 100,000 USD deposit on 2003-05-09, 6,029 days under water), its time under water percentiles and Logan's 99th percentile drawdown (now 117.3 percent); the audit pages show the current values.
A backtest is one ordering of one set of trades. Our
engine takes that set apart and puts it back together 1,000 times,
in three different ways, and then shows where the real run lands in
the result. Two audits make the point on their own.
Lizard finished 183.99 USD ahead after
21,524 trades, and 221 of its 1,000 resampled versions end in the
red. Gold Trade Pro finished
13,446.15 USD ahead, and not one of its 1,000 resampled versions
loses money. Same method, same catalog, two entirely different kinds
of profit.
Three methods, three amounts of structure kept
The permutation keeps every trade result exactly as it is and
shuffles only the order, so each path ends on the same total as the
real run. The bootstrap draws the same number of trades from the
same set with replacement, so the total moves from path to path. The
block bootstrap leaves the trade level entirely and works on the
daily result series, drawn in blocks of five trading days and
wrapped around the end of the series, which keeps a week of
clustered results together. All three run 1,000 paths from a fixed
seed of 42, and an audit with fewer than 50 trades gets no
resampling at all, because percentiles from a smaller sample would
be false precision.
The three differ in one thing only, which is how much of the
original structure they keep, and that is what makes them readable
as a set. The permutation destroys the order and keeps the total.
The bootstrap destroys both. The block bootstrap keeps whatever
happened inside a trading week and destroys the arrangement of the
weeks.
How often the same edge loses money
The bootstrap reports one number that answers the question most
directly. It counts the paths whose total is zero or below, and
divides by 1,000. Thirteen of our 26 default audits report 0.000,
meaning no draw from their own trade set turns the run negative.
Three report 1.000, and they are the only three of the 26 whose run
ends below its starting balance.
Logan ends at -24,334.65 USD,
Smart Gold Hunter at
-1,418.55 USD and Scalping
Robot Pro at -53,234.68 USD. Those runs lose so evenly that no
rearrangement of their own trades rescues them.
The ten audits in between are the interesting ones. Lizard sits
at 0.221 on a net result of 183.99 USD.
OilVector X sits at 0.115 on
35.23 USD. Quantum Emperor reaches 0.244 on 7.59 USD, and it is one
of four audits still measured on a vendor report with a 1,000 USD
deposit rather than in our own world. Those four are unlisted, so
they are named here and not linked. A profit that a reshuffle of its
own trades turns negative
once in four or five attempts is a thin profit, whatever the equity
curve looks like.
The same block prints the interval that explains it. Lizard's
bootstrap puts expectancy per trade at -0.01 USD at the 5th
percentile, 0.01 at the median and 0.03 at the 95th. The plausible
range straddles zero, so the sign of the result is not settled by
21,524 trades. Gold Trade Pro's interval runs from 1.89 to 2.39 USD
per trade and never comes near zero, and its profit factor stays
above 1.65 even at the 5th percentile. That is what a result looks
like when the trade set carries it rather than the ordering.
The drawdown you were shown is one draw
The audit page puts the observed drawdown next to the resampled
ranges under the heading Resampled max drawdown range versus
observed. The block bootstrap is the fair comparison, because it
resamples the same end of day balance series with the same formula
that produces the published max drawdown. In 18 of the 23 audits
with a measurable end of day drawdown, the real drawdown is deeper
than the median of that resampled range. Every audit is compared
only against its own paths, so the mixture of test setups in
the catalog does not enter the count.
In five of them the real drawdown is deeper than the 99th
percentile. Adaptive Gold
Scalper reaches 0.24 percent against a 99th percentile of 0.13.
Gold House reaches 0.60 against
0.22, Gold Snap 0.54 against 0.08,
Gold Trade Pro 1.38 against 1.17 and Lizard 2.55 against 1.19. The
three audits left out of the comparison are
Quantum Queen,
Quantum Queen X and
Quantum Athena X, whose
deepest end of day episode is 0.46 USD for the two Queens and 0.30
USD for Quantum Athena X. On a 100,000 USD balance that is a
drawdown of 0.0 percent on both sides of the comparison, so there is
nothing to compare.
The two figures do not share a denominator, which is worth naming
before anyone leans on a narrow gap. The observed drawdown is
measured against the running peak of the balance curve, the
resampled ones against the start balance. In the 22 audits that
document their deepest episode, that peak sits between 99,998.99 and
108,403.86 USD against a start balance of 100,000, so the two
conventions differ by at most 8.4 percent of the reading. None of
the five audits above the 99th percentile moves, and three others
sit close enough for the convention to decide the side.
Gold Atlas reads 0.46 percent
against its peak and 0.50 against the start balance, with a
resampled median of 0.47.
CryonX and
TwisterPro Scalper land on
their own 99th percentile in the published reading and just above it
in the other.
Lizard is the clearest case
Lizard's deepest end of day episode peaks on 2003-05-13, reaches
its trough on 2007-11-08 and is not recovered until 2026-06-18. The
depth is 2,545.79 USD, the descent takes 1,172 trading days, the
account stays under water for 6,027 of them, and the worst single
trade inside the episode loses 2.42 USD.
That is the mechanism in two sentences. A drawdown assembled from
thousands of small losses across 1,172 trading days cannot survive a
reshuffle in blocks of five days, because the reshuffle breaks the
long sequence into pieces and separates them with profitable weeks.
What the audit prints as a 2.55 percent drawdown is therefore not a
bad day but an arrangement, and the resampling is what makes that
visible.
Both other methods say the same thing from their own side. The
permutation puts Lizard's longest losing streak at a median of 25
trades and 37 at the 99th percentile, which is what a random order
of these results produces. The block bootstrap keeps the weeks
intact and puts time under water at a median of 3,264 of 6,067 days,
with the 99th percentile at all 6,067.
What the block cannot say
Resampling never leaves the trade set. Every path is built from
results this EA produced in this window, so a market state that
never appeared in the window cannot appear in a path either. The
method measures how fragile a record is, not what a strategy will
do next.
Paths are not stopped when the account dies, and the audits carry
that note themselves. It is why Logan's block bootstrap reaches
118.04 percent at the 99th percentile. Anything beyond 100 percent
means the simulated account was wiped out and kept trading, so the
figure is a measure of severity and not a balance anyone could
reach.
The seed is fixed at 42, so rebuilding the same audit with the same
engine reproduces every percentile. That makes the numbers checkable.
An engine correction can still move them, as the rebuild of 29
September did. None of this makes them a forecast.
How to read it in thirty seconds
Two questions get most of the value out of the section. The
first is how many of the 1,000 bootstrap paths end in a loss,
because that answers whether the profit survives its own trade set.
The second is where the observed drawdown falls inside the block
bootstrap range, because that answers whether the drawdown you were
shown is what these days produce in a different order. Everything
else in the section is detail behind those two questions.
A small drawdown can still lock up capital for years. Lizard recovered a 2.55 percent drawdown after 6,029 trading days, while Twister Pro Scalper took 3,191 days to recover a 0.11 percent drawdown. Logan never recovered its recorded 30.06 percent drawdown before the period ended.
On 28 August 2026 the audits printed lines like 80% of profit made in 3 days. Lizard needs 3 of 4,242 active days for a net of 183.99 USD, Gold Atlas needs 54 of 4,636 days for 8,239.71 USD, and both light the same lamp. The count measures the best days against the net result, so a low number can mean a burst driven profit or a profit that was never really there.