NASDAQ OMX Plans Big Tick Market Data Cloud with Xignite

First Published Thursday, 5th August 2010 02:06 pm from Xand : Joel York

The opinions expressed by this blogger and those providing comments are theirs alone, this does not reflect the opinion of Automated Trader or any employee thereof. Automated Trader is not responsible for the accuracy of any of the information supplied by this article.


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The was plenty of href="http://www.securitiestechnologymonitor.com/news/-25731-1.html"

target="_blank" rel="nofollow">market data cloud buzz at the

2010 SIFMA Technology Conference and Exhibition with

NASDAQ and Xignite right in the center. Using the XigniteOnDemand

href="http://www.xignite.com/Solutions/On-Demand-Market-Data-Web-Services.aspx"

target="_blank">Market Data Cloud Platform, NASDAQ

plans to launch Data-on-Demand in the second half of 2010 to

provide easy and flexible access to large amounts of detailed

historical NASDAQ Level 1 trade and quote data for all

U.S.-listed securities. Tick data is increasingly in demand for

back testing of algorithmic trading strategies as the securities

industry pushes the limits of high frequency trading.

Randall Hopkins, NASDAQ OMX's Senior Vice President of

Global Data Products, is quoted in the press release as saying:

"Today our customers spend a large amount on technology

infrastructure, not the market data itself. With Data-on-Demand,

we want to drastically cut data management costs by running the

technology infrastructure on the cloud for our clients and

delivering to them the data they need, when they need it, and how

they need it."

>

NASDAQ discusses

it's market data cloud initiative with Max Bowie

/> of Inside Market Data at the 2010 SIFMA Financial Services

Technology Expo

Obtaining and collecting tick

data can be onerous and time-consuming as firms are required to

establish feeds and maintain large amounts of data on-hand.

On-demand market data distribution gives applications a way to

cherry pick the specific subset of data that the application

needs with pinpoint accuracy. Instead of combing through very

large data sets of historical tick data, developers will be able

to program their applications to select very specific data sets

and obtain them on-demand and process them instantly.

Data-on-Demand will also allow clients to download large tick

data subsets on a scheduled basis.

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