II blames style-drift for CTA woes

Discussion in 'Wall St. News' started by truetype, Jul 2, 2018.

  1. Maverick1

    Maverick1

    I believe you Santa, re lil' things... the devil is always in the details...

    That's precisely one of the key reasons why I expect the quant bandwagon at large to fail; the kind of mind it takes to decipher which details matter is not developed in the halls of a computer science department, no matter how prestigious

    Think of it like this: there were plenty of engineers that could build a phone, but there was only one Steve Jobs... It's a bit like that in the markets

    Hard to believe you re Rentec even if it's a general idea, but will take you at your word
     
    #11     Jul 11, 2018
  2. Hi Maverick1,

    Renaissance Technologies have a recruitment policy of hiring the best mathematicians/scientists who have a track record of doing good science/math. Note, good science/math and not good finance/trading. So, you're hiring a bunch of brilliant people with no domain knowledge in investing/trading, yet they beat the best domain experts at their own game through their quant skills. So, this is one rare occasion when I don't agree with you. I don't think that the quant bandwagon at large will fail. I will be happy if someone tells me why I'm wrong.
     
    #12     Jul 11, 2018
  3. Hi Secret Santa,

    Thanks for sharing your scary secret. I believe the broad principles are out there in books and even here on this forum. I do not work in this industry. May I ask how how frequently do the insiders in this industry tweak the recipe and cooking process? If it is as infrequent as 2 times out of 10 years, wouldn't many people working in this industry be jobless? Why not simply leave most of the work to machines as machines make less mistake and are very cheap once they are properly programmed?
     
    #13     Jul 11, 2018
  4. sle

    sle

    It's a constant process - managing risk allocations, deciding to turn alphas/strategies off, researching new alphas etc. Stuff that was working 5 years ago does not work today and stuff that works today is probably going to be obsolete in a year.
     
    #14     Jul 11, 2018
    helpme_please likes this.
  5. If someone went to their office and told them what he thinks they are doing and why he came to this conclusions and was correct,the look on their faces would be priceless.I suspect only few people at the very top know the actual strategy itself,even if general work environment is to share and collaborate.And i am not implying they are doing anything illegal,just that they are very,very clever.

    Not that i do know myself,far from it,i only have a theory like everyone else.
     
    #15     Jul 12, 2018
  6. Maverick1

    Maverick1

    I exclude Rentec from the rest of the pack. Simons and crew will find a way to avoid getting killed in the downturn that's coming. The others won't. Underperformance has already started, so get woke to reality
     
    #16     Jul 12, 2018
  7. ironchef

    ironchef

    If they have to constantly tweak their system to make them work, could they all be fooled by randomness?
     
    #17     Jul 13, 2018
    Van_der_Voort_4 likes this.
  8. ironchef

    ironchef

    I agree if you have a longer time horizon than day trades.

    My struggle with technical overlay is what should I be watching out for? Except perhaps Price, normal TA like RSI, MACD, MA... did not work for me.

    Thanks.
     
    #18     Jul 13, 2018
  9. sle

    sle

    For most people with multiple high quality strategies/signals, the primary tweaks are more along the lines of seeing where the alpha has declined (potentially to the point where it stopped working) and scaling these strategies down. Then there is a matter of adding new alphas - same process, you start small and gradually allocate more risk. So that doesn’t make really make it random.

    However, once you are living in the CTA or factor investing world. The alphas there are relatively few, really long-dated and noisy and usually the ones with large capacity are over-allocated. Understanding what works and what died becomes super tricky and I think a lot of science devolves into an art form (not necessarily bad, but it is not really the promised quantitative process).
     
    #19     Jul 13, 2018
    maler and ironchef like this.
  10. Maverick1

    Maverick1

    Re time frame, the sweet spot is days to weeks...

    About technicals, whatever your coding/testing uncovers is what I meant. Think of it as a subset of your work with data
     
    #20     Jul 13, 2018
    ironchef likes this.