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This week NASDAQ was the first major exchange to launch
an on-demand service offering Level 1
href="http://www.nasdaqdod.com/" target="_blank">historical
stock tick data. As the first truly on-demand service
for historical stock tick data, NASDAQ Data-On-Demand is leading
a revolution that's democratizing access to market data
and reducing costs by orders of magnitude.
NASDAQ
Data-On-Demand has made it easy and affordable to get access to
historical stock tick data for everyone from individuals to large
institutions. Individuals can analyze historical stock tick data
in Excel, while large institutions can develop large-scale
applications like algorithmic trading applications, using NASDAQ
Data-On-Demand's historical stock tick data for back-testing
their algorithms.
Individual investors,
professional traders, analysts and other individual users can get
started for as little as $10 per month and gain instant access to
start pulling historical stock tick data into Excel directly from
the
target="_blank">NASDAQ
Data-On-Demand website.
Individuals get the same sophisticated analytics and detailed
Level 1 historical stock tick data previously available only to
large institutions. And most importantly, traders can cherry-pick
specific data with pinpoint accuracy, eliminating the need for
custom-developed systems to manage and process the data for them.
Since pricing is usage based, individuals can use highly targeted
queries to pay only for the data they need, making historical
stock tick data affordable even for individual
investors.
Application developers can power
their applications with historical stock tick data accessed in
real time through web service APIs. Gone are the days of loading
terabytes of historical stock tick data into a giant database,
hiring a DBA to optimize the database and building a data access
layer to run queries that retrieve the data your applications
need. Now your applications can call an API directly from NASDAQ
Data-On-Demand web services, pass parameters defining a specific
subset of historical stock tick data, and get back only the tick
data your application needs right at that moment. No need for
databases, servers or DBAs. (Sorry, DBAs.) And with no need for
technology overhead, the costs and timelines for pulling data
into applications plummet.
With NASDAQ taking
up the on-demand banner and leading the charge with historical
stock tick data, it will be interesting to see how this new
development affects the on-going movement toward an on-demand
href="http://www.cloudbulls.com/nasdaq-cme-group-and-bg-cantor-leap-onto-the-cloud/"
target="_blank">market data cloud.
Share
and Enjoy:
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