sharpe ratio

Discussion in 'Strategy Building' started by trend2009, Jan 12, 2023.

  1. the losing year is very small. that is why 33% losing years still have 2.5 sharpe. This strategy lost in 5 bull years, but a small loss. as below:

    year stat:200300 net gain:-4037.7
    year stat:200400 net gain:36832.4
    year stat:200500 net gain:-5290.0
    year stat:200600 net gain:-2185
    year stat:200700 net gain:38319.8
    year stat:200800 net gain:48684.3
    year stat:200900 net gain:91822.8
    year stat:201000 net gain:-24124.
    year stat:201100 net gain:168564
    year stat:201200 net gain:-40061.
    year stat:201300 net gain:20314.9
    year stat:201400 net gain:56301.5
    year stat:201500 net gain:54321
    year stat:201600 net gain:77223.8
    year stat:201700 net gain:3754.74
    year stat:201800 net gain:144918
    year stat:201900 net gain:45620
    year stat:202000 net gain:200510
    year stat:202100 net gain:54295.4
    year stat:202200 net gain:153242
     
    #11     Jan 12, 2023
  2. spy

    spy

    Yeah, those years could have had small losses I suppose. Or, could be a over-fitted backtest. Over-fitting will show huge numbers. It's just one of many metrics and if your account isn't exceptionally large I don't think 2.5 is unreasonable.

    Of course the best metric is with a decent sized account using real money. Even then, I think things are more fragile than we like to believe and so I wouldn't harbor expectations. The chance of getting hit by a bus, no matter how small, is still there. That's just life.
     
    #12     Jan 12, 2023
  3. Businessman

    Businessman

    That is not sharpe of 2.5.

    I am seeing average 0.85 sharpe, average about 55000 stdev about 66000
     
    #13     Jan 12, 2023
    spy likes this.
  4. Businessman

    Businessman

    Perhaps you are calculating sortino ratio?
     
    #14     Jan 12, 2023
  5. I calculated sharpe based on daily return of the last 20 years, then annualized it, that gives me 2.5.
     
    Last edited: Jan 12, 2023
    #15     Jan 12, 2023

  6. I only have 1-2 parameters, with 200k trades. That is not curve fitting
     
    #16     Jan 12, 2023
  7. Businessman

    Businessman

    You have enough yearly data, to use the years.

    Annualised daily data gives an estimate for when you dont have enough years.
     
    #17     Jan 12, 2023
    spy and trend2009 like this.
  8. spy

    spy

    No need to be defensive. I didn't accuse you of anything, just commenting on possibilities. How am I supposed to know what you did, or didn't, do?
     
    #18     Jan 12, 2023
  9. So what would Wall Street think about this strategy?
     
    #19     Jan 12, 2023
  10. I know. I just clarify.
     
    #20     Jan 12, 2023