Jump to content

Welcome to the new Traders Laboratory! Please bear with us as we finish the migration over the next few days. If you find any issues, want to leave feedback, get in touch with us, or offer suggestions please post to the Support forum here.

  • Welcome Guests

    Welcome. You are currently viewing the forum as a guest which does not give you access to all the great features at Traders Laboratory such as interacting with members, access to all forums, downloading attachments, and eligibility to win free giveaways. Registration is fast, simple and absolutely free. Create a FREE Traders Laboratory account here.

geektrader

Weekly and Monthly Trend Following Strategies

Recommended Posts

Hello,

 

I would like to hear from experienced system developers about common pitfalls to be aware of during development of strategies on high time frame like weekly and monthly.

 

My concerns are stemming from the fact that since the number of data points reduce drastically, and number of trades generated being even smaller, do the backtesting and optimization loose their statistical significance?

 

For example, simple MA crossover strategies on Weekly time frame on most futures data I have checked have given good results on 20 years of data. But they fail in WFO runs..

 

My dilemma is trying to estimate whether strategy is still worth exploring or not. One one had 20 years seems good amount period to cover different regimes while optimization and I get nice looking equity curves within my tolerance levels of drawdowns and distribution of returns.

 

However, if I do walk forward optimization (in Tradestation) over 10 time periods during same 20 years, the results vary a lot.

 

I am suspecting that during walk forward optimization, I don't have statistically significant number of data points (in terms of price as well as number of trades) and hence the strategy fails overall in such run.

 

I hope I am making sense here. Looking forward to hearing from you all.

Share this post


Link to post
Share on other sites
Hello,

 

I would like to hear from experienced system developers about common pitfalls to be aware of during development of strategies on high time frame like weekly and monthly.

 

My concerns are stemming from the fact that since the number of data points reduce drastically, and number of trades generated being even smaller, do the backtesting and optimization loose their statistical significance?

 

For example, simple MA crossover strategies on Weekly time frame on most futures data I have checked have given good results on 20 years of data. But they fail in WFO runs..

 

My dilemma is trying to estimate whether strategy is still worth exploring or not. One one had 20 years seems good amount period to cover different regimes while optimization and I get nice looking equity curves within my tolerance levels of drawdowns and distribution of returns.

 

However, if I do walk forward optimization (in Tradestation) over 10 time periods during same 20 years, the results vary a lot.

 

I am suspecting that during walk forward optimization, I don't have statistically significant number of data points (in terms of price as well as number of trades) and hence the strategy fails overall in such run.

 

I hope I am making sense here. Looking forward to hearing from you all.

 

just asking out of curiosity, what is your priority? do you look for more profit or less drawdown?

Share this post


Link to post
Share on other sites

Honest answer I look at both and more..

 

distribution of return of lifetime of simulation, annualized returns, average/max drawdowns..

 

you can't ignore any of these IMO.

 

 

just asking out of curiosity, what is your priority? do you look for more profit or less drawdown?

Share this post


Link to post
Share on other sites

Join the conversation

You can post now and register later. If you have an account, sign in now to post with your account.
Note: Your post will require moderator approval before it will be visible.

Guest
Reply to this topic...

×   Pasted as rich text.   Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.


×
×
  • Create New...

Important Information

By using this site, you agree to our Terms of Use.