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Industry Summary Articles

Wednesday, January 30, 2019

Barchart Announces Integration of OnDemand APIs into MATLAB

Barchart, provider of financial market data and technology, has announced a partnership with MathWorks. New integration with MATLAB, the programming environment from MathWorks for algorithm development, data analysis, visualization, and numeric computation will now allow traders, financial engineers, risk managers and analysts currently using MATLAB and its Datafeed Toolbox to directly access Barchart's OnDemand API solutions and to gain access to Barchart's data from within MATLAB.

Barchart CEO Mark Haraburda says, "We are excited to work with MathWorks and increase our MATLAB user base by making it easier for clients to pull our data into the tools they use. MATLAB is trusted by our user community to backtest data, power asset pricing models, build trading strategies, and develop dynamic portfolio optimizations. This native integration into MATLAB is something our users have been asking for, and we look forward to collaborating with MathWorks more in the future."

"Prior to the integration, joint customers would download Barchart's data to a file and then import the data into MATLAB, preventing the creation of automated analyses," says Stuart Kozola, Finance Product Manager at MathWorks. "MATLAB users can now access high quality market data that they can query and import directly into their investment and risk management models and they can also focus only on the data those models need. Not only does is speed up the development and back testing of new investment strategies, it also enables automation of daily reporting and the creation of interactive dashboards that update with the market or with new data queries."

To learn more about Barchart's integration into MATLAB and to view available functionality and examples, please visit www.mathworks.com/matlabcentral/fileexchange/68211-barchart-ondemand-for-matlab. And, to learn more about Barchart OnDemand, please visit www.barchart.com/ondemand. 

To view the original press release, please click here.

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