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use cases

Programming Language Lessons learning about Barclays HFT use cases including Java C++ Linux FPGA and Erlang

Programming Language Lessons learning about Barclays HFT use cases including Java C++ Linux FPGA and Erlang Below is an eye popping but very recent useful video about HFT in Barclays. These topics were covered: Java is not as desirable due to garbage collection which leads Linux Operating system Jitter FPGA is complicated to debug and …

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Want to to see my Notes on architecture of Tradelink use cases and example of API for trading strategy uses?

Hey there I have noted some very observations as I am digging into building strategies or trading rules with Tradelink: Are Computers skills more important math algos to get edge in quant and ultra lowest latency HFT ? https://quantlabs.net/blog/2013/07/are-computers-skills-more-important-math-algos-to-get-edge-in-quant-and-ultra-lowest-latency-hft/ Offer your opinion here. For my QuantLabs.net Premium Members, two very importants went up: Notes on …

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Financial industry use cases for Oracle TimesTen in memory database for rapid automated trading systems with low latency

Financial industry use cases for Oracle TimesTen in memory database for rapid automated trading systems with low latency   In summary: perform real-time analyses need With Oracle TimesTen, a transaction that reads a database record can be completed in 2.5 microseconds (measured on Intel Xeon 2.93 GHz processor running Oracle Solaris), Extreme low latency and …

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Here are some Big Data, Low Latency Use Cases for quant development

Here are some Big Data, Low Latency Use Cases for quant development I gave this presentation at CloudConnect this past year. It talks about some big data, low latency use cases and highlights a distributed, streaming map/reduce architecture and also the SAX algorithm. Enjoy and comments always welcome! Cloud connect http://www.slideshare.net/EventCloudPro/cloud-connect-03-082011 Email Favorite Favorited × …

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Quant analytics: Do big data use cases require the data to be stored? Hadoop? MapReduce?

Quant analytics: Do big data use cases require the data to be stored? Hadoop? MapReduce? Recently I checked out some Hadoop use cases like index building, text analytics, etc, and it seems that most of them don’t really want to save the data, only do the analysis, and then save the results – indexes, summary …

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