My Automated Trading Strategy (3Years+ of Historical Data) Please Critique!

Discussion in 'Data Sets and Feeds' started by julian0625, Mar 27, 2011.

  1. auspiv

    auspiv

    Next step is to run it real-time on the Sim101 account in NinjaTrader for a few months and see what happens.
     
    #41     Mar 28, 2011
  2. auspiv

    auspiv

    Also, keep in mind it isn't hard to create something that looks extremely profitable, but it doesn't work out at all during real-time trading. In the attached pictures, these profit and loss values are per share.
     
    #42     Mar 28, 2011
  3. gsgs

    gsgs

    there should be a program, a method, a statistical algorithm
    that analyzes these performance curves and decides
    how likely it is that such performance and curve-smoothness
    would happen with a random strategy !

    Presumably the strategy is built in retrospective choosing
    from millions of indicators, but even then the peformance
    is still amazing.
    What could be the explanation, what psychology of
    other traders is being anticipated and successfully
    outperformed here ?

    I haven't read the whole thread.
    Has it been confirmed ?
    I mean, that it's a simple strategy, one out of less
    than a million possible ones or such.
     
    #43     Mar 28, 2011
  4. Curve fitting?
     
    #44     Mar 28, 2011
  5. lol this may be a dumb question, but what is that?
     
    #45     Mar 28, 2011
  6. Alright, I'll show an example of a random trading day with the entries and exits. As you can clearly see, every candle that initiated a signal, at least went ONE tick against the trade, therefore meaning the limit order would be filled.

    <a href="http://content.screencast.com/users/UATrading/folders/Automated%20Strategies/media/2770b75a-c493-48d6-9a0f-7201d2aca3cf/SP500StrategyTradeExamples.png"><img class="embeddedObject" src="http://content.screencast.com/users/UATrading/folders/Automated%20Strategies/media/2770b75a-c493-48d6-9a0f-7201d2aca3cf/SP500StrategyTradeExamples.png" width="1686" height="981" border="0" /></a>

    I hope this helps visualize what type of trading my strategy does.

    BTW CORRECTION: It is not ALWAYS long or short. Occasionally the strategy will recognize a changing market condition, and it will halt on the trade.
     
    #46     Mar 28, 2011
  7. lol Im still an average kid, I just have a different interest. I play sports, hang out etc. etc.

    My friends do the same, sports, hang out etc. though some of them have started asking questions about my trading :cool:
     
    #47     Mar 28, 2011
  8. Nice to see a thread that has not turned into a hate fest.

    My only 2c is keep it up kid, you are light years ahead of many by starting now and already into Ninja doing backtesting.
     
    #48     Mar 28, 2011
  9. luisHK

    luisHK


    + 1
     
    #49     Mar 29, 2011
  10. Great Job on your simulation and following your interest.

    I would say though your average profit is so low that even the slightest inaccuracy in your back-testing software or data will eliminate the expected profit. For example:

    -It is not realistic to think you can consistently enter at the price that your bar chart says is the close. Just a bit of variation here from your simulation will take away your average profit.

    -What simulation software are you using? Some programs use such a liberal algorithm for Fills that almost no strategy is needed to show a profit over short holding periods. For such a small expected profit the algorithm specification is critical.

    -A strategy that has commissions = to 50% the expected profit while in backtesting/simulation is extremely vulnerable.
    It often means you are trying to get an edge that is not really open to you as a retail trader (and that is assuming the backtest does not have other issues). All else equal, the higher the expected profit to transaction costs, the greater the likelihood the strategy will work.

    I would suggest:

    Look to develop strategies with a significantly higher expected profit, particularly relative to ALL transaction costs.
     
    #50     Mar 29, 2011