Hi Malcik ,and everybody else..
Thanks a lot for your effort..the results are impressive..basically I will sum them up,I understand that 3months,150 trades is not enough,but until we have the EA,if we have it
,we(until now we=Malcik..so thanks again) have to test manually..and it takes a lot of time..so,for now I would say that the 1m version is promising and the first candidate for EA testing on 1m ,2 and a half years of data.
1-1M TF,3 months approx,150 completed trades..see above mentioned comment
2-Profit Factor: 2.95...very good,in 3 months impressive..we have to check on 2.5 years basis
3-Max drawdown PEAK TO BOTTOM in %..we have 2 very similar runs -19.8% and -20.6%...it is high..we have to work on it,by either reducing the max accumulated positions(free until now ,even for losing trades until stopped the system kept accumulating lots on each signal..which in itself means that the chandelier keeps you safe even with excessively leveraged positions),or including some kind of filter for additional positions ie:do not open new one unless at least x pips distance from the first
4-%W= 36%..%L= 64%..the percentage winning trades is low-probably point 3 above modifications will help in improving it-and some form of Tp,even partial must be devised to improve it,the good results come from riding the trend..to the hilt..net Average(for all trades,positive+negative) per trade (25,67 pips),Average W and Average L are,in my opinion non pertinent since there is too much deviation to extract meaning from an average
5-Basically the system,and excuse the expression,runs by runs..from 2000usd to 1604(it starts overleveraging and then Chand cuts it off),then from 1604 to 7421(it starts earning money and overleveraging until stopped out by Chand at a big profit),then from 7421 to 5890..This is extremely interesting,once we have the full test for 2.5 years of data on 1m,we can try to devise some additional filter to improve the results
There is additional interesting comments that Malcik wants to post,and I think these will help us understand better what can we expect and how to modify our system
Simba