Recent content by damien.dualsigma

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    R-squared of profitable daily algo strategy

    Someone will go after your stop and take your money
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    R-squared of profitable daily algo strategy

    Ok I understand that for some mysterious reason people hate it when you tell them it was you who took their money.... so forgetting about the overall strategy, what is your target profit and stop loss for each one of these short term trades? Do you use trailing stops?
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    R-squared of profitable daily algo strategy

    Good job... what is your average holding period and return per trade? I would say keep doing what you are doing
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    R-squared of profitable daily algo strategy

    LOL ?? Economists? I believe you are thinking of the wrong R-Squared . Check it out. Anyway, From the top or your wisdom, what sharpe and sortino are you looking for?
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    R-squared of profitable daily algo strategy

    In summary, that would pretty much mean a max loss of 5% for an average running gain of 50% of traded value. Definitely interesting for anybody. May I ask where do you test these metrics? Tradestation or which other setup?
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    R-squared of profitable daily algo strategy

    Or what would you say is a suitable metric and its threshold value out of sample ?
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    R-squared of profitable daily algo strategy

    R-squared out of sample then?
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    R-squared of profitable daily algo strategy

    When would you say an algo strategy , on a liquid instrument, on daily timeframe, would become interesting? R-squared = 0.1? 0.2? 0.3? 0.4? 0.5 is probably good enough..
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    Do Neural Networks overfit less than Decision Trees?

    Ok, but what kind of thing would you need to know? I agree with the out of sample easily becoming in sample, but what if I did not optimize again after trying the out of sample? Something like 1000 points in sample, 200 points out of sample? Perhaps to improve I would randomize the selection of...
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    Do Neural Networks overfit less than Decision Trees?

    Sorry, I added text inside the quote. Damn iphones
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    Do Neural Networks overfit less than Decision Trees?

    All right so thanks everyone.. Now, the key question is.. do you need to make sure parameters introduced in random forest or neural networks or whatever ML algorithm are statistically relevant in driving the output function? By themselves or as an interaction with others? Or is ML going to...
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    Do Neural Networks overfit less than Decision Trees?

    Thank you! Good , helpful reply. Any chance this can be implemented in Matlab? Or is Python more advanced and required for this level of detail?
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    What is best source of daily spot prices

    Thank you Robert. Are these spot prices though? What I have seen is futures quotes at those links, not EOD spot, which is what I was looking for, ideally
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