Ichimoku Dax M15 automatic trading strategy

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Viewing 15 posts - 1 through 15 (of 18 total)
  • #148452

    Hello,

    I present you a strategy based on ichimoku and some optimizations.

    Ichimoku is optimized to give the best components while keeping the same ratios of difference between the components of the ichimoku.

    The values are therefore simply multiplied.

    Purchases and sales are processed independently, which makes the backtest more profitable.

    Also a currency management system is incorporated into the strategy and can be modified as required.

    I wouldn’t have 100% confidence in this strategy given that it has just been developed and we know the effects of optimization.

    However, I find it an interesting basis, which could be applied in other markets.

    Maybe some ideas could be added to this one to make it more profitable!

    Feel free to give your opinions and suggestions.

    IV

     

     

    3 users thanked author for this post.
    #148558

    thanks for that, looks interesting – can you post the results with all money management turned off to get a better idea of the level performance?

    #148637

    Thanks a lot for this new idea, I moved your post into the forum to discuss about, because it would attract a lot of questions in the library because of its optimization settings. Did you made some OOS testing?

    #148642

    Hello Nicolas

    No indeed, the OOS tests were not performed for the simple reason that I don’t know how to do it, could you tell me how to proceed?

    Thank you

    #148644

    Hello nonetheless

    The strategy is developed with system management, so for a fixed batch system, you should probably review the parameters to get more conclusive results.

    Sincerely yours,

    #148654

    Use the walk forward tool in the platform in order to test your optimization over an out of sample period (OOS period). You should always divide your backtest history when optimizing, into 2 parts, the first one to optimize the value (In-Sample period = IS) and the second one to test those variables values into “real” market conditions, the OOS period. There are so many topics discussing strategy robustness over the forums, you should dig into them 🙂

    1 user thanked author for this post.
    #161907

    Hello IV Mcm,

     

    did you test your strategu with Walkforward ?

     

     

    #161993

    Here’s a version of this with no MM, optimized 70/30

    Not too bad (apart from 2 awful months) … but unfortunately I’m getting the dreaded Negative/Zero Parameter error in demo.

    Most grateful to anyone with any thoughts on this.

     

    4 users thanked author for this post.
    #162768

    No Walkforward :/

    #162772

    Not sure what you mean. The optimization is 70/30, so almost 3 years OOS.

    But the Negative/Zero Parameter is the bigger problem as it won’t run as it is.

    #165293

    You will notice that the version without MM loses a lot in gain.

    The MM allows you to adapt to the volatility to avoid ruining yourself during a crack or gaining nothing during low volatility.

    #165297

    I am all in favour of MM, but for backtest and optimization it’s better to run with level stakes so you know what you’re dealing with. Also easier to compare performance with other algos. MM is added after.

    Here’s another version, lower profit but more trades and better %win. Also fixes the zero parameter problem.

    2nd image is with my MM code.

    5 users thanked author for this post.
    #165399

    Nice algo. I changed some variables. Backtested it since 13.03.2019

    #165444

    Hi, would you like to post your set of variables / algo including it ?

     

    #165474

    Hi, would you like to post your set of variables / algo including it ?

    If yr post was adressed to me, pls find attached the itf file.

    4 users thanked author for this post.
Viewing 15 posts - 1 through 15 (of 18 total)

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