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When optimization is too much optimization

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    When optimization is too much optimization

    Let's say you have a strategy which is positive and just for the sake of discussion this strategy has (and I'm making these up so they may not be 100% correct but you'll get the idea):

    Option 1
    Win Rate: 60%
    Reward/Risk: 1.25
    Profit: $25k
    Trades: 300
    Avg Trade = $83

    Now let's say you see a way to optimize this strategy. You add in an extra condition and you get:

    Option 2
    Win Rate: 70%
    Reward/Risk: 1.5
    Profit: $12k
    Trades: 100
    Avg Trade: $120

    So we can clearly see two things:

    1 - Option 2 performs better in terms of risk and equity curve

    2 - Option 1 will make you more money

    So here's the paradox:

    If you take the second strategy, you could trade a bigger size. Let's say you double your size. Now you have:

    Option 3:
    Win Rate: 70%
    Reward/Risk: 1.5
    Profit: $24k
    Trades: 100
    Avg Trade: $240

    Now here's the delima: Option 3 is safer than Option 1 and earns the same amount of money, but if you look at return on a percentage basis, it performs less because you have to use twice your money. Now if your money is sitting idle it seems that this is the way to go. But if you could allocate your capital to other trades, then it seems that maybe Option 1 would be better.

    However, Option 3 has less trades than Option 1.. which means that you are in cash more often, and that cash is available for other trades. For example if Option 1 has 1 trade every 1 day, and Option 3 has 1 trade every 3 days, you would have (assuming it's a day trade) your money free for 2 of the 3 days and available for other strategies.

    So which option would you trade?

    #2
    I always felt Trading is a marathon not a sprint. So for me its all about consistent profits with minimal drawdown and conservative money management. Every trader I know has had their backside handed to them at some point so when that happens and it probably will you have to be in position to weather the storm and come out the other end with an account that has not blown up.

    Just my opinion though.

    Comment


      #3
      The problem would be that your optimizations and risk calculations would be based on the past.

      The best option would be to vary your position size in an anti-martingle way and have it change dynamically based on the current performance rather than a hypothetical. This tends to be lead to much greater risk-adjusted performance.

      Performing a Monte Carlo simulation and choosing the most Robust parameters based on your risk tolerance is probably the best place to start.

      This is a complex topic, one I've barely scratched the surface of myself.

      This may help:
      Last edited by Elliott Wave; 11-28-2008, 01:52 AM.

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