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Nasdaq OMX Announces On-Demand Data Service
Nasdaq OMX Group launched Nasdaq Data–on-Demand, providing access to massive amounts of historical Level 1 tick data through a new cloud computing solution. The new solution— based on a web-based application that allows data to be purchased online at www.nasdaqdod.com — eliminates the need to maintain ever-growing inhouse databases and data management infrastructure.
“Customers of NASDAQ Data-on-Demand are able to cut costs and boost efficiency by getting only the data they need when they need it,” said Randall Hopkins, NASDAQ OMX’s Senior Vice President of Global Data Products. “Thanks to NASDAQ Data-on-Demand, large and small customers alike can channel more resources to their core business operations and avoid data overload.” As historical tick data becomes increasingly important for research, back-testing of strategies and verification of internal data, NASDAQ Data-on-Demand provides flexible, scalable access to large amounts of high quality data for NASDAQ-, NYSE, OTC Bulletin Board (OTCBB), Pinksheet and other regional-listed securities, according to the press statement. NASDAQ OMX expanded the Data-On-Demand data set to include over-the-counter securities in the U.S for the launch. As a potential data repository for the securities industry, NASDAQ Data-on-Demand enables users − ranging from individual investors, to small algorithmic traders to large institutional investors − to conduct business more efficiently, the release said.
According to Nasdaq OMX’s release, users can: Extract valuable data online at much lower costs; select very specific pieces or sets of data for instant processing; download large tick data subsets on a scheduled basis; quickly integrate data into applications; save time and resources by using preset analytics; and access quote, trade, volume weighted average price (VWAP), end-of-day data, market spreads and summarized trade information.
Ivy is Editor-at-Large for Advanced Trading and Wall Street & Technology. Ivy is responsible for writing in-depth feature articles, daily blogs and news articles with a focus on automated trading in the capital markets. As an industry expert, Ivy has reported on a myriad ... View Full Bio