Would you trust in it?
and bet a certain amount of money that it will continue to rise after running across for so many years?
For me, a difficult question.
Sure the system can be improved but / or – is it a “law” to sell tuesday morning and liquidate the position with after the us-opening?
Here is the simple code
it is a short position !
// instrument dax40
// timezone europe berlin
// timeframe 30 mins
// created and coded by JohnScher
positionsize = 1
td = opendayofweek = 4
tt = time = 090000
If td and tt then
sellshort positionsize contracts at market
Endif
If onmarket and barindex - tradeindex = 14 then
exitshort at market
Endif
set stop %loss 1
set target %profit 1
Yes I’d trust it … until Live performance stopped working more or less like backtest!? 🙂
I confine myself to 10K bars only (PRT backtests soo slow etc) and it looks good on Wed and Thur so I’m going to set it going on Demo starting Monday.
I’ll let you know how it goes.
Thank You John for sharing this simple and unusual strategy with us.
I probably did not write correctly. And sorry for the useless.
The question was whether you can trust a strategy that ran sideways in the backtest for many years until 2016 and then is rising.
As an example, a simple strategy was chosen to illustrate. Please excuse, there are also other strategies that 2016 resp. until 2018 show a “break”. Compare original Pathfinder strategy attached.
The question I actually wanted to pursue, where does this break come from? Are there any explanations? Should we backtest from 2016/2018 or should we backtest as far as the history goes?
Approaches that I have read say both. But the explanation is pending. For me is a question of trust in a strategy.
Should i just accept it or investigate it?
My view / opinion is … forget anything prior to 2018, so backtest from 2019 onwards.
For myself, I go further than this … I rarely backtest before March 2022 (a week or so after the war started).
Your findings fit in very well with my decisions on backtesting … recent past is far more relevant than distant past.
have sincere thanks, please
I will certainly take this into account in my decisions
“short” backtest to take more into account the current circumstances
Performances that go “flat” in OOS is often a sign of over-optimization.