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6

As of April 2014, the 32-bit version of kdb+ ist now free (as in beer). KX systems have removed: the 4h timeout the requirement to reinstall every 3 months the restrictive non-commercial license The only limitation vs. the 64-bit version is that you can only address up to 4GB of memory per process. But work around this by writing a multiprocessing system ...


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(P) prefix : As a service to the market and typically at the request of an issuer, Moody's will assign a provisional rating when it is highly likely that the rating will become final after all documents are received, or an obligation is issued into the market. A provisional rating is denoted by placing a (P) in front of the rating. Such ratings may also be ...


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Have a look at Kona which is a FOSS project trying to be compatible. Also Tom Szczesny has done some work on its predecessors namely A. I hope this helps. Also if you are not looking for a perfect substitute you can have a look at other Time Series Databases like InfluexDB, Java Chronicles, OpenTSDB, KairosDB which are all Open Source. There are commercial ...


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I don't like KDB+/q. For KDB+ experts, I am not picking a fight. The following is just my own understanding on KDB+ and TimeSeries Database. You're warmly welcome to correct me if anything wrong in your eyes :). First of all, during my near one year's KDB+/q development experience, I never ever find a paper based benchmark result indicating KDB+/q ...


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Github and Bitbucket are both good options for a git repository. If you want other people to look at your code and help build on it, Github is the better choice. If privacy is what matters most, you can get a free private repository from Bitbucket. On github, only public repositories are free.


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As background, Floating point precision is a way of storing numbers such that the precision is relative to the largest digit. For instance, the number $0.00123$ stored in fixed precision needs 6 digits of precision (3 zeros and the 3 non-zero numbers). However, this same number stored as floating point precision $1.23 \cdot 10^{-3}$ needs only 3 ...


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kdb+ seems to be the leader but their programming language is a pain really. Personally I use a HDF5. It is a No-SQL database. It integrates very nicely with python. I have been very happy with it so far.


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An alternative is the TeaFiles file format. It's simple and boasts a high performance but I believe you'll have to reinvent some wheels.


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SD is selective default http://www.reuters.com/article/2013/06/28/us-cyprus-downgrade-standardandpoors-idUSBRE95R0YQ20130628 +u is unsolicited rating http://lexicon.ft.com/Term?term=unsolicited-rating


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I would recommend de-normalising the data or using a document database such as NoSQL or MongoDB. These provide a speed advantage when performing select statements as there would be no need to lookup or join data from other tables. An advantage of using a document database is that they store data in an industry standard format such as JSON or XML so it should ...


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Recently I found a book on earnings trading but did not have time to read thoroughly. Trading on Corporate Earnings News - John Shon I also had spent some time to see earnings surprise effects and it is a quite interesting but not easy to use topic. There is certainly a jump if the estimates and announced earnings have a large mismatch but the magnitude ...


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For any data that is not strictly tabular and unchanging in schema, you should rule out SQL solutions. Option pricing fits that description in my experience, because high-liquidity stocks, currencies, or bonds, will have a far bigger set of strikes and maturities than lower liquidity instruments. Thus in a relational database you will have to have columns ...



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