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Data visualization libraries Plotly.js is an open-source JavaScript library for creating graphs and powers Plotly.py for Python, as well as Plotly.R for R, MATLAB, Node.js, Julia, and Arduino and a REST API.
OpenHistoricalMap data is available for reuse in other projects. In addition to the REST API, a weekly database dump allows bulk downloads in Protocol Buffers–encoded OSM XML format. There is also an instance of the Overpass API for structured querying of the data across time periods. These tools are configured and deployed as part of the ...
QuantConnect is an open-source, cloud-based algorithmic trading platform for equities, FX, futures, options, derivatives and cryptocurrencies.QuantConnect serves over 100,000 quants from over 170 countries, with customers including hedge funds and brokerages, as well as individuals such as engineers, mathematicians, scientists, quants, students, traders, and programmers.
In 1998, KX released kdb, a database built on the language K written by Arthur Whitney.In 2003, kdb+ was released as a 64-bit version of kdb. In 2004, the kdb+ tick market database framework was released along with kdb+ taq, a loader for the New York Stock Exchange (NYSE) taq data. kdb+ was created by Arthur Whitney, building on his prior work with array languages.
Resources API retrieves content produced by ABC businesses, including national and local news, entertainment videos, and more. Associated Press: AP Content API: AP Content API; AP Breaking News API; AP Content API allows the search and download of AP Images, one of the world's largest collections of historical and contemporary imagery.
The Richard D. McCormick Stock Index From January 2008 to December 2012, if you bought shares in companies when Richard D. McCormick joined the board, and sold them when he left, you would have a 3.6 percent return on your investment, compared to a -2.8 percent return from the S&P 500.
CFRA: 6,585 (as of Nov. 20): "This new target incorporates fundamental, technical, and historical considerations, influenced by a 2.4% projected growth in U.S. real GDP and a 13% rise in S&P 500 ...
Bitemporal modeling is a specific case of temporal database information modeling technique designed to handle historical data along two different timelines. [1] This makes it possible to rewind the information to "as it actually was" in combination with "as it was recorded" at some point in time.