<commit_before>![!Thomson Reuters Logo](http://cdn1.im.thomsonreuters.com/wp-content/themes/Im/images/tr-logo.png)
# Coming Soon: OQAD
>Open QAD will be released to this github project very soon.  We hope that customers of QA Direct will find it useful.

[<NAME>](mailto:<EMAIL>)  
Software Architect  
[Research and Development](http://labs.thomsonreuters.com)  
[Thomson Reuters](http://www.thomsonreuters.com)

# Thomson Reuter's QA Direct (QAD)

> GENERATE ALPHA FASTER WITH ACCESS TO UNRIVALED CONTENT:
>
> Thomson Reuters quantitative research tools and solutions give you industry-leading content, comprehensive data management capabilities and sophisticated analytical tools to help you identify differentiated insights faster and increase profits
> …
> 
> QA Direct maps information from all data vendors and allows you to access the data through the use of a single, unique identifier. Integration with other software and databases is easy, resulting in efficient data retrieval and analysis.
-- [QA Direct](http://im.thomsonreuters.com/solutions/quantitative-research-tools/qa-direct/)

# Thomson Reuter's Open SDK's for QAD
While [QA Direct](http://thomsonreuters.com/products_services/financial/financial_products/a-z/QA_Direct/) does a great job of delivering [Thomson Reuters](http://www.thomsonreuters.com) (and third parties’) content to clients in an integrated yet flexible container, there is still a large amount of work users need to do to get that data into analytics platforms, of which the ["R" language](http://www.r-project.org) commands a large portion of the market.

Behind all the whiz-bang graphics and workflows of a tool like [QA Studio](http://im.thomsonreuters.com/solutions/quantitative-research-tools/qa-studio/) or ClariFI is exactly this sort of data surfacing. The availability of a complete set of R libraries to access the most commonly-used data in QA Direct allows clients to immediately unlock the data’s value. While our shrinkwrap quant desktop is QA Studio, we will still need to serve the market that has a large code base in R or similar tools and languages. It is the hope of this project that OQAD will help satisfy that need.

OQAD is an effort to develop, test, and distribute of a set of open libraries, in R, for fundamentals, estimates, securities pricing, and macroeconomic data from QA Direct.  These libraries would lower the cost of entry for accessing QA Direct data and in crease time to market.

Thomson Reuters provides the source for this SDK, as is.  We hope that QA Direct customers will find these libraries useful and that some may even contribute to the project by providing feedback, bug reports, and best of all improvements and additions to the code. 

This project offers an SDK for R today.  It is possible that other languages could be provided in the future, pending community interest and available resources.

# Getting Started
*Details will be provided on the first release of the code…*<commit_msg>"increase time to market" ? I think we want to decrease time to market, no? I removed that thought altogether. :)<commit_after>![!Thomson Reuters Logo](http://cdn1.im.thomsonreuters.com/wp-content/themes/Im/images/tr-logo.png)
# Coming Soon: OQAD
>Open QAD will be released to this github project very soon.  We hope that customers of QA Direct will find it useful.

[<NAME>](mailto:<EMAIL>)  
Software Architect  
[Research and Development](http://labs.thomsonreuters.com)  
[Thomson Reuters](http://www.thomsonreuters.com)

# Thomson Reuter's QA Direct (QAD)

> GENERATE ALPHA FASTER WITH ACCESS TO UNRIVALED CONTENT:
>
> Thomson Reuters quantitative research tools and solutions give you industry-leading content, comprehensive data management capabilities and sophisticated analytical tools to help you identify differentiated insights faster and increase profits
> …
> 
> QA Direct maps information from all data vendors and allows you to access the data through the use of a single, unique identifier. Integration with other software and databases is easy, resulting in efficient data retrieval and analysis.
-- [QA Direct](http://im.thomsonreuters.com/solutions/quantitative-research-tools/qa-direct/)

# Thomson Reuter's Open SDK's for QAD
While [QA Direct](http://thomsonreuters.com/products_services/financial/financial_products/a-z/QA_Direct/) does a great job of delivering [Thomson Reuters](http://www.thomsonreuters.com) (and third parties’) content to clients in an integrated yet flexible container, there is still a large amount of work users need to do to get that data into analytics platforms, of which the ["R" language](http://www.r-project.org) commands a large portion of the market.

Behind all the whiz-bang graphics and workflows of a tool like [QA Studio](http://im.thomsonreuters.com/solutions/quantitative-research-tools/qa-studio/) or ClariFI is exactly this sort of data surfacing. The availability of a complete set of R libraries to access the most commonly-used data in QA Direct allows clients to immediately unlock the data’s value. While our shrinkwrap quant desktop is QA Studio, we will still need to serve the market that has a large code base in R or similar tools and languages. It is the hope of this project that OQAD will help satisfy that need.

OQAD is an effort to develop, test, and distribute of a set of open libraries, in R, for fundamentals, estimates, securities pricing, and macroeconomic data from QA Direct.  These libraries would lower the cost of entry for accessing QA Direct data.

Thomson Reuters provides the source for this SDK, as is.  We hope that QA Direct customers will find these libraries useful and that some may even contribute to the project by providing feedback, bug reports, and best of all improvements and additions to the code. 

This project offers an SDK for R today.  It is possible that other languages could be provided in the future, pending community interest and available resources.

# Getting Started
*Details will be provided on the first release of the code…*
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