- This topic has 117 replies, 30 voices, and was last updated 1 month ago by
.
-
Posts
-
Hi Alesamo, I agree with the flaws currently in the approach many take to the top 10 app. I have been trading EAS successfully for a good while now (See here for examples (https://community.algotradingspace.com/forums/topic/many-prop-firm-challenges-passed-with-ea-studio/) and I also just received payout on a 100k FTMO funded account. ALL using EA Studio portfolios that I developed myself.
The top 10 app gets ALOT right but its approach also has flaws. Would you be open to trying a different approach than you are using? Also what other software do you have access to?
Sam
Hello Maria, hello Sam, thanks a lot, I really do appreciate that you as a team are seeing the current issues with the Top-10-App and you are working on improvements. That said – I tried really various approaches, also those recommended by you in your YT channels, so far I haven’t found one that looks promising/consistent. And yes, of course I am open to try different approaches, if you have any suggestions please let me/us know… In general I am using some commercial EAs from the MQL market place with quite some success, these are almost all grid/martingale EAs, however, and with the Top-10-App I really wanted to shift away from these a bit because of the inherent risk of these…
Hi Alesamo, yes I agree that the risks of the grid martingales are concerning and I personally step away from these too.
Rest assured I will definitely be working on improving the back end of this tool over time but for now let’s get something that will work better with what we have got.
So for approach one. Let’s try this approach:
1 – Only trade EAs that have an OOS trade count of 20+ trades as shown on the top 10 app
2 – Also instead of changing EAs after a set period of time such as putting them on each week or month, lets trade them until they either exceed their maximum drawdown or consecutive losses according to the 5 year results (could also use a shorter window of 1 year too).
Also, you can make a habit of downloading the top EAs from the APP regularly and putting them on your own incubator account and using fx blue to wait until you get your own 20 trade history.
This would let you have additional strategies as they are selected based on best recent performance and so change often but this may let you find others that are actually able to perform well over time.
One demo account should be fine as you can have 99 EAs running and should simply remove any that haven’t shown profitable performance after 20 trades (or something similarly sensible) as maybe a monthly clean up task.
Let me know how that sounds and let me know how you get on? Also if you want to share anything you have done already then we can further discuss and make some tweaks
I started a new demo account with your proposed process, i.e. with all FX EAs that have at least 20 OOS trades. The problem – for now, only 4 out of ALL EAs meet this criteria, but let’s see… On top of that I started back in June to download weekly all new EAs and I am testing these also on meanwhile 2 different demo accounts (due to the 99 EA restriction I had to start another one recently). I am also using those EAs from these 2 accounts that have a positive PF as well as 20+ trades, unfortunately, these are also not many (also only 4 to be precise, all others that have 20+ trades are negative). What I also noticed – those EAs that perform ok (i.e. have 20 trades and a positive PF) can meanwhile not any longer be found in the Top 10 App, i.e. these were already replaced by others…. Will report a few weeks back how this new approach is developping… Anyone else here that maybe has a successful process and is willing to share? Thanks.
Hello Alesamo,
Thanks a lot for sharing your detailed update and for taking the time to test this approach so thoroughly. It’s really helpful to see how you’re structuring your process and the challenges you’re facing with the limited number of EAs meeting the criteria.
We’ll be very interested to hear how things develop over the next few weeks with your demo accounts. Please keep us posted on the results—your insights will definitely be valuable for everyone here.
Hey Alesemo, yes thats a great start. Less is okay though, you just need a few trading at a time. If you get up to 10 then great but 3 is fine too. Also great to hear about results after a few weeks but also remember that a few months performance is much more important and really even what the max stagnation is for the strategies too.
Hello, it looks like a rebranding took place….from EA Trading Academy to ALGO Trading Space. A detailed description of the changes made would be highly appreciated. BTW: I cannot find the TOP 10 Robot App. Kindly update and advice!
Thank you
Hi, If you login to the new platform and go to “my account” the apps are shown there. Let me know if you have any further problems.
Hi Algo Trading Space Team,
I’m doing some back testing on my broker (Axi) on the Top 10 Robots and I noticed something off. The risk % of GER40, SPX500, and US30 seem to be off.
For Ger40 it feels like it’s 2x. For SPX500 its 4.5x. For US30 it’s 20x smaller.
Please take a look. I might be wrong. But anybody who just downloads these bots and assumes the proper risk % will be set (based on the setting on the website) may have some trouble.
More power guys.
Hi, thanks for pointing this out. This appear to be coming from the settings in the specification. Please make sure that your contract size and digits are set appropriately when downloading the EAs.
Cheers,
Sam
Your result legit never match my backtesting think this was really a waste of money I have tested almost all of them and the backtests are shocking found one or 2 that backtest seem similar this is using tick data from strategy data quant really feel like this was a big waste of money at this point
Your result legit never match my backtesting think this was really a waste of money I have tested almost all of them and the backtests are shocking found one or 2 that backtest seem similar this is using tick data from strategy data quant really feel like this was a big waste of money at this point
Hi Ernst, this can happen but it should be rare and there are actually some BIG improvements in the backend on the APPs currently being undertaken to ensure that the open price backtesting more closely matches tick testing.
Can you please send me an example EA and the difference in the results you are getting and I will look into this for you and double check your result with my own full tick backtesting please?
I can help you get to the bottom of whats going on and turn things around no problem 🙂
- You must be logged in to reply to this topic.