Combining high-frequency cryptocurrency venue data using kdb+
19 Sep 2018
By Eduard Silantyev Eduard Silantyev is an electronic trading systems developer and a cryptocurrency market microstructure specialist based in London. Follow Eduard on LinkedIn or Medium to read more of his blogs about cryptocurrencies. The original title of this blog is “Cryptocurrency Market Microstructure Data Collection Using CryptoFeed, Arctic, kdb+ and AWS EC2 | Handling
Signal processing with kdb+
6 Sep 2018
In the latest in our ongoing series of kdb+ technical white papers published on the Kx Developer’s site, Kx engineer Callum Biggs examines how kdb+/q can be used instead of popular software-based signal processing solutions. Signal processing is used for analyzing observable events, such as IoT sensor data, sounds, images and other types of pulses
A comparison of Python and q for data analysis
21 Aug 2018
Guest blogger Ferenc Bodon illustrates using Python, SQL and kdb+ for data analytics in this blog. He takes an example that goes just one step beyond the simplest use cases by performing some aggregation based on multiple columns. Anybody who analyzes data tables will bump into this type of problem, probably on the third day.
Kdb+ on Anaconda and Google Cloud
12 Jun 2018
At Kx25, the international kdb+ user conference held in New York City on May 18th, we made a number of announcements about new ways to access kdb+ and interconnect with it. (You can watch my presentation, called “Snakes on a Plane” on the Kx YouTube channel.)
The Exploration of Solar Storm Data Using JupyterQ
7 Jun 2018
At Kx25, the international kdb+ user group conference held on May 18th, I made a presentation that demonstrated how to use a JupyterQ notebook to perform analytics on solar storm data.
My experience working with solar storm data began last year when I was a visiting data scientist at the NASA Frontier Development Lab (FDL) in Mountain View, California. The FDL is hosted by the Search for Extraterrestrial Intelligence Institute (SETI): a not-for-profit research organization founded in 1984, whose purpose is to drive research in the space sciences. Within SETI, FDL is an applied artificial intelligence research accelerator established to maximize new AI technologies and apply them to challenges in the space sciences.
Message from the Kx COO Mark Sykes
29 May 2018
On May 18th, we hosted Kx25, the largest international kdb+ user event ever. Having the opportunity to get broad feedback from our user community is a hugely important exercise for us. We know that many of our users have built their careers around kdb+, and we recognize our responsibility to them. That is why we work so hard to constantly improve the world class software we deliver. Kx is unique in its facility to both listen, and respond, with significant changes to each new annual release of kdb+ and our supporting range of products, solutions and tools.