Recent content by Euler

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    Where did the "90% are losers myth come from?

    alexandercho, Don't worry about Sushi -- he's an example of a type of poster common on ET called a "Troll" -- one with nothing better to do than to try to rile up those legitimately trying to improve their trading and/or assist others. Trolls are speculated to be failed traders who still...
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    How long before you were fully automated?

    If you declare a proposition false, then you're declaring its opposite true. Hence, in your proposed framework, all you need to do is rephrase your hypotheses, and suddenly your pessimism is turned to optimism :D
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    Looking for someone to program an API

    You mean you have already written the code? If so, you might want to consider finding some examples from your broker and inserting it -- most brokers have pretty good example code, and often don't send it to you unless you ask. One caveat: if you haven't actually written the code in a...
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    Some rant about brokers from black box developer

    I thought about it, and have come to the conclusion that you've got an interesting definition of "lazy", because apparently it includes living in your office round-the-clock so you can invent nonstop (e.g., Edison, amongst others). :D But in all fairness, the number of things you tried...
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    Where did the "90% are losers myth come from?

    Actually, does refute Sushi's "fact", which was that 100% of traders lose money overall in the long term. But I forgive you for not wanting to read through all of Sushi's trolling posts (assuming, that is, you are not an alias for Sushi) :D I was not disputing that 90% or 95% or even...
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    The Arms Race in High Frequency Trading

    I agree, nitro. Hardware and latency certainly deserve due consideration and expenditure, but obsessing over these alone (as the original blog author seems to imply that many are doing) will not keep one in the game long-term, I think. It's the entire system that counts, and as you say, other...
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    OCaml.

    Your comments might be considered a good warning for "aspiring automated traders" -- most, after all, should quit before they start. But simple/nontechnical ideas are not, in and of themselves, superior to complex/technical ones. Just ask James Simons :D
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    Where did the "90% are losers myth come from?

    Thanks for your sharing your experiences, milktruck. Very interesting, yet depressing. I wish everyone considering opening a bucket forex account would read this first.
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    Where did the "90% are losers myth come from?

    Turns out I know what that is, and that it has nothing to do with my statement or the fact that it decisively disproves yours.
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    Active Managers: The (Horror) Show Goes On

    Just eyeballing the numbers in the lowest level reports (several links down in the S&P site), it seems to me that the active managers may have actually outperformed their respective indices on a 5-year basis, by a small margin, BEFORE fees. But no details of the fees seem to be aggregated in...
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    Neural Networks don't work for trading

    dtrader98, I agree with virtually everything in your post; in fact, I think it in itself is quite a good primer for anyone wanting to apply any "computer fitted model" to trading. But it bears only an indirect relationship with the discussion I was having with the earlier poster, whose...
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    Where did the "90% are losers myth come from?

    This also is absurd, any way you slice the definition of "active trader". Think about it. Or maybe you just "believe" this because it makes you feel better about losses you yourself incur? If so, may I suggest quitting trading and getting on with your life? Ultimately, trading, even highly...
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    Neural Networks don't work for trading

    To be a "universal function generator", you need neurons => infinity which roughly implies examples => 2 ^ infinity == infinity. So the relative suitability of ANN's really depends on how a LESS THAN UNIVERSAL neural net learns the "true function" you're trying to model, versus...
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    Neural Networks don't work for trading

    Given: 1. infinite computational power 2. an infinite number of independent observations (data) Yes. But under any realistic assumptions, No. The problem is the rapid (exponential?) expansion in the amount of data required to train, without overfitting, an increasing...
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