RS Metrics Listed as Candidate Provider with FactSet to Provide Global Metals Inventories Data
STAMFORD, Conn., June 10, 2019 /PRNewswire-PRWeb/ -- RS Metrics is now a registered Candidate Provider on the Open:FactSet Marketplace (OFM). FactSet's Candidate Program allows clients to discover and evaluate potential new datasets and solutions before they become available as fully integrated products on the OFM. All Candidates are reviewed and screened by FactSet before being accepted into the program.
RS Metrics will be providing MetalSignals(TM) via the OFM. MetalSignals contains timely measures of global metal stockpiles through advanced AI and machine-learning analysis of satellite imagery. Observations are made of over 400 smelters, refineries, terminals, mines, and storage facilities.
By offering MetalSignals on the Open:FactSet Marketplace, RS Metrics enables quantitative and fundamental analysts, traders, and portfolio managers easy access to metals inventories information. Data from MetalSignals has been commonly used to predict prices for commodities, equities, and foreign exchange rates. Additionally, MetalSignals data has been used when predicting global economic activity.
"We're excited to offer RS Metrics' patented analytics and market-leading MetalSignals dataset on the Open:FactSet Marketplace, which supports data-driven decision makers at investment firms and corporates," said Maneesh Sagar, CEO of RS Metrics. "FactSet's leadership in data integration and symbology aligns closely with our mission to provide customers with disruptive new channels to acquire data to enhance their modelling and analysis. Our new status as Candidate Provider is a step toward fulfilling that promise."
About RS Metrics:
Founded in 2010, RS Metrics analyzes and derives data from satellite and aerial imagery to provide fundamental insights, trends and predictive signals for businesses and investors in metals, industrials, retail and commercial real estate. RS Metrics' proprietary, patented technology platform leverages advanced computer vision and machine learning and a scaled QC workflow to generate high quality, predictive and consumable information. Data is available in easy-to-use end-user applications, signals, and tools, and as daily data feeds for customers with quantitative focus and capabilities. For more information, visit http://www.rsmetrics.com. Follow RS Metrics on Twitter @RSMetrics and on Linkedin at https://www.linkedin.com/company/rsmetrics/.
SOURCE RS Metrics
