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Tagged: #acceptance criteria, EA Studio, FTMO-Data
- This topic has 286 replies, 38 voices, and was last updated 1 year, 6 months ago by
Alan Northam.
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October 7, 2019 at 4:47 pm #23425
Petko Aleksandrov
ParticipantHey Jay-R,
I will do my best to record those updates tomorrow.
And yes, I use the Monte Carlo all the time. It is the strongest robustness tool for me.
October 19, 2019 at 11:56 pm #24158Stephen
ParticipantHi Petko,
I’ve been using Monte Carlo and I also think it’s a very nice robustness tool. Are the updates you spoke about ready yet?
October 21, 2019 at 12:16 pm #24240Petko Aleksandrov
ParticipantHey Stephen,
Glad to hear from you. Yes, it is recorded, just the team is editing it.
Tomorrow it will be uploaded on YouTube, and I will inform you in the EA Studio Updates topic.
October 26, 2019 at 3:58 pm #24947Stephen
ParticipantHi everyone. I see the term Acceptance criteria is a vast combination of features. When choosing the Acceptance criteria, how do you know what and what not to combine for you to get the expected outcome?
December 24, 2019 at 10:31 am #32199Thapelo
ParticipantHey John,
The best practice is to start with wide acceptance criteria. For example, use just Min count of trades 300 and a profit factor of 1.2.
Or you can use just consecutive losses in Forex which means that the strategies you want to trade must not have more than 7 consecutive losses, for example.
When you get many strategies in the collection, like over 100, you can add some more criteria
February 5, 2020 at 5:10 pm #36771Andi
ParticipantSomething I wanted to share. Actually Petko said that long ago but I did not realize it. Now I see it is 100% true.
The more count of trades the strategy has, the Monte Carlo passes with more validated tests. This means that we have more robust strategies.
So basically the most important Acceptance criteria is a profitable strategy with many count of trades. With some currencies and time frames I get over 1000 without a problem, and with other 500 is the level. But at the end of the day, I get better strategies for any asset.
February 8, 2020 at 10:24 am #36968Petko Aleksandrov
ParticipantYes, Andi!
Simply with the strategies with more count of trades the entry conditions happened many times in the past. This is what makes them robust.
February 14, 2020 at 5:04 pm #38092Augustine
ParticipantMy Acceptance Criteria
Balance line Stability 85 and minimum count of trades
It always gives me R-squared greater than 90 and very good profit factor.
It is a new update I believe, you should all give it a try.
By the way, this is my first post, you all have been helpful here. I will try to share one of my results.
February 14, 2020 at 5:10 pm #38093jenialyinvest
Participantsodekeaugustine3 do you use out of sample…and any robustness tests?
February 14, 2020 at 5:21 pm #38094Augustine
ParticipantI use full data optimization and Monte Carlo validation(robustness test) in the reactor.
I use OOS Monitor for the Out of sample.
Balance Stability is a performance metric develop to be as a combination of R-Squared, correlation and better scaling for a strategy
Eastudio guide, under acceptable criteria
February 14, 2020 at 5:35 pm #38096jenialyinvest
ParticipantIs the oos monitor truly out of sample? Or us it just showing in sample?? Not sure how it works?
February 14, 2020 at 7:11 pm #38102Augustine
ParticipantYes jenialyinvest
I do use 30% OOS for my full data optimization but the green part won’t show in the collection, so I have to check OOS Monitor for the OOS.
This way it is the same out of sample you are talking about.
February 14, 2020 at 7:28 pm #38104Augustine
ParticipantOh,
I just check well,it isn’t the same thing, that is why I used 30% OOS in my full data optimization settings.
What the OOS MOnitor does is that ,it divides the result into 3parts: in sample,out sample and complete backtest in respective of whether you use OOS in your reactor or not.
February 19, 2020 at 11:13 am #38795Petko Aleksandrov
ParticipantGreat discussion here, guys. Keep up the good work!
March 10, 2020 at 10:03 am #41200Petko Aleksandrov
ParticipantHello guys,
something that I figured out recently and I wanted to share.
I use the OOS when generating the strategies with the reactor, and after that, I filter the strategies with the min count of trades.
This way, when generating strategies, I am already testing the EAs for the last 20% of the data(simulating the Demo account) and when I filter them with the min count of trades basically I get the robust strategies.
Plus the Monte Carlo is there of course. This way I feel much more comfortable…but it took me nearly 2 years to realize what should I be using for my self.
Yes, I know Petko showed that in some of the courses, but maybe I was not ready to accept it 🙂
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