Study says Daytrading for a living is virtually impossible.

Discussion in 'Trading' started by traderslair, Sep 11, 2019.

  1. Lol, no you don't. Does Procter and Gamble need to sample each and every single diaper on the manufacturing belt to test quality? No they don't. There are sound sampling techniques and there is the law of large numbers. Google it if you have no idea what I am talking about. Goodness. No wonder the stats of failing traders is so high. Basic statistics, my friend, emphasis on basic.

     
    #91     Sep 12, 2019
    traderslair likes this.
  2. Can't possibly agree more. Most on this site can't even run a simple hypothesis test I bet.

     
    #92     Sep 12, 2019
    speedo likes this.
  3. No you did not. You showed what an ignorant idiot you are.

     
    #93     Sep 12, 2019
  4. OMG that is the entire point, failing also means NOT persisting. Most people who attempt to day trade fail because they either don't persist, or don't learn, or can't remove themselves from their emotions, or don't risk manage properly or any for any other reasons, or all the above. Someone who gave up and did not persist also failed.

     
    #94     Sep 12, 2019
  5. Exactly right. As long as the sample set is representative of the population set your conclusion has very high statistical validity. Dummy.

     
    #95     Sep 12, 2019
  6. Oh, so Brazilian asset prices behave differently than Japanese jgb or American ETFs? Please show how.

     
    #96     Sep 12, 2019
  7. bbpp

    bbpp

    You don't get it.
    It is not about people, it is about market.
    The point is, market in different countries have different characteristics.
     
    Last edited: Sep 12, 2019
    #97     Sep 12, 2019
    wrbtrader likes this.
  8. bbpp

    bbpp

    Did you understand my post?
    I bet you did not.
     
    #98     Sep 12, 2019
  9. bbpp

    bbpp

    He does not need to show you.
    Every one who has trading experiences knows.
    If you don't have trading experiences, no point to argue with you.
     
    #99     Sep 12, 2019
  10. bbpp

    bbpp

    You don't know what you are talking about.lol.
    Let's say you sample one million people in Brazil, none get Nobel prize,so you conclude there are no people in Brazil who got Nobel prize.You are wrong, there was one in Brazil who got Nobel prize.Your sampling does not work this time.
    Now you sample one million people in China , you find none got Nobel prize,and you conclude there are none in China who got Nobel prize,you are deadly wrong. China does have a couple of people who got Nobel prizes, they just don't show up in your sampling. Because China has 14 million million people.The point is you can't use statistics sampling in this situation.And that is what I meant in my post.

    I will tell another example here.
    Einstein discovered relativity.
    Suppose you sample people at the time Einstein is still alive.
    If you sample one million people in this world, find none discover relativity,you conclude there are none who can discover relativity. Your conclusion is wrong again, because you can't use sampling in this case.There is only one in this world who discovered relativity.To deny you need to go through every people in this world.
     
    Last edited: Sep 12, 2019
    #100     Sep 12, 2019