Some pairs are not doable?

is it possible that on some pairs such as USD Turkish, or AUDUSD you simply cannot find strategies?

have you encountered this problem?

possible is everything 🙂 …you can try to look how the history of for example USDTRY looklike

Ya I got exact the same result. I can tell that AUDUSD is 100% impossible:

1726 builded (from2011 to 2017)

only 3 passed (I only have a simple retest on 2003-2011).  <-Don’t know why

2 passed for slippage

0 passed another TF and market(EURUSD)

0 passed MC series tests

0 passed WFM

usually I got at least > 200 passed for simple retesting on 2003-2011 for pairs like EURUSD or GBPUSD, but for AUDUSD, don’t know why only 3 passed

So I open up the failed history for AUDUSD:

Global filter: profit factor [Main data, IS] >= 1.10    -> failed count 1708

for this simple test, I have only IS for 2003-2011.

Looks like the market becomes totally different for AUDUSD.

in audusd could be found nice strategies, this is “normal” market, not some exotic pair, like TRY, SGD, RUB or another ones

I agree that there’s something strange with AUDUSD. I’ve tryed everything and never EVER got anything good. I gave up this pair, same as NZDUSD. Have no explanation why this market, beeing one of the majors pairs is untradeable, at least with SQ and my workflow. Note that my workflow is quite standard and gets acceptable results on the most common pairs; EURUSD, USDJPY, etc

10 trades a year… really?

its 14 trades a year and why not?

with overtrading you will get only bigger spreads, swaps or another costs on the account, not bigger profits

how can you utilize the power of money management & compound if you get so little trades?

I think it is quite reasonable to set 30 trades per year for 1H timeframe, since it is also stated in the SQ’s online courses.

So it is hard to say that over 14 trades a year is overtrading unless it is H4.

I am curious about what currencies pair are under tested in SQ in a normal sense like: at lease 2 out of 3000 builded strategies passed (in a test pipeline like build-> prev. OOS test->slippage-> cross market&tf test->MC series tests->last OOS test-> WFM). Setup parameters are loose like what SQ’s online course demo. (profit factor> 1.3, Ret/DD > 0.3*years).

200+ trades are for me enough to get something like statistical significance