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  1. 2

    Opinions on system

    You really haven't given any info. From what you did give the results are positive... bet everything you have
  2. 2

    Balancing open profit vs potential profit ?

    poker pot odds and implied odds might help you.
  3. 2

    So, what does a good trader make per month?

    the difference between professional and individual is that individuals only have access to public markets and dont see/hear/participate with the majority of whats traded.
  4. 2

    Execution System OOD Recommendations

    ninja, multicharts NET, tradestation meta(whatever) are for retail. I have never seen these used in the real world. IMO, you still need to program to research and build profitable trading logic
  5. 2

    Trade log with statistics

    you could do this with quantopian (zipline) https://www.quantopian.com/ It would take some work though. Start a http://www.kickstarter.com/ project and I'll write it :D
  6. 2

    Python Instruction Wanted $

    depends what you mean by $ I use python a lot and have written some stuff for free here and there Depending on what you want to know I could write something up but you get what you pay for. :cool:
  7. 2

    Do you use R for backtesting?

    I use R sometimes. It has the most comprehensive stats packages that I know of. I dont use R for backtesting but there is a backtest library you can google for called quantstrat
  8. 2

    Operating System Choice

    from a programming and admin point of view its easier than windows. but if your an end user using applications then windows is better
  9. 2

    Operating System Choice

    you can play around in a vm https://www.vmware.com/support/download-player.html If you're making guis windows is still the best other than that go with linux or bsd.
  10. 2

    datafeed that supports U.S. stock option DOM/Level2 access?

    http://www.opradata.com/related_info/vendor_list.jsp
  11. 2

    Historical probablility based exits ?

    import Quandl import pandas as pd import scipy.stats as ss df=Quandl.get(u'GOOG/NASDAQ_GOOG') avg=df[-30:].Close.mean() sd=df[-30:].Close.std() ss.laplace(avg,sd).cdf(df.Close.tail(1))
  12. 2

    Execution System OOD Recommendations

    I never start out with a full fledged design and then just code to it. I think that's what the "experts" recommend. As far as design patterns you probably want a factory for injecting algos (or maybe a visitor or use something like spring). PubSub. Singleton (globals can be good :D ). Builder...
  13. 2

    Books or Link to learn programming?

    I agree. My relative is taking a beginner programming class and other than being able to pass a test can't do anything.
  14. 2

    CQG API realtime market data

    http://www.cqg.com/CQGAPI4.0Revised8.5/webframe.html http://www.cqg.com/Products/CQG-API/Resources/CQG-Data-API-Samples.aspx I have only used it with c#. Its much better than TT's xtapi
  15. 2

    Getting back in the game

    http://www.advantagefutures.com/ or if your funding the account you could probably use the infrastructure of some proprietary firm like tmg, belvedere, ...
  16. 2

    CQG API realtime market data

    I am familiar with CQG api. I have subscribed to at most 30 instruments but I dont know the max limit. One thing that I found odd is that it limits the order messages per second to 10 but can be bumped up to 25. So if you have a bunch of orders out there and want to cancel them all you have put...
  17. 2

    Getting a job as a Junior Trader

    agreed. there are many firms in chicago that match your background. the boxing is a highlight. there's an actuary exam that one firm liked
  18. 2

    Typical message lag across the Atlantic

    http://www.verizonenterprise.com/about/network/latency/
  19. 2

    categories of daytrading strategies

    what about orderflow
  20. 2

    get Google option chain

    here's an easy way to do it. import demjson,urllib2 def getOptionChain(): url='http://www.google.com/finance/option_chain?q=AAPL&output=json' ii=urllib.urlopen(url).readline() ii = demjson.decode(ii) you could wrap this in c++ and then execute a python interpreter to run...
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