CLS Group teams up with Quandl to offer forex data via subscription

CLS Group teams up with Quandl to offer forex data via subscription

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quandl cls

CLS Group, a provider of risk mitigation and settlement services for the forex industry will offer standardized and aggregated forex trade reports available via subscription through the search engine for numerical data Quandl.

The data will be available in three separate reports, showing activity by hour, day or month and will contain trade volume in terms of both the number of trades and the total value in USD. The data will be aggregated by trade instrument (spot, swap and outright forward) and currency pair.

“This is the first time we have made this level of aggregate data readily available to the market,” said David Pluth, CEO of CLS. “It is a key source of trade information will allow a broad range of users to get a clear picture of FX market activity across major currency pairs and products.”

“We are delighted to be able to offer CLS’s data on Quandl. These datasets address a large gap for quantitative and technical FX traders, who have never had access to such a comprehensive picture of trading volume for the global FX market,” said Tammer Kamel, founder and CEO of Quandl.

CLS is a US financial institution providing settlement services for its members from the forex market. The company offers  payment versus payment (PvP) settlement service which mitigates settlement risk for the FX transactions of its settlement members and their customers (third parties).

CLS was launched in 2002 and had 39 members and seven currencies. As of last November the organization settles 18 currencies, has 64 settlement members and more than 900 third party participants.

Quandl is a search engine for numerical data, offering access to several million financial, economic and social datasets, including the UN, Worldbank, Eurostat and hundreds more. The engine indexes data from multiple sources and allows users to download it in various formats, including Excel. The databases are divided into categories such as stock data, index data, economic data, currency data, futures data, etc. The access to some of the databases is free of charge, while others are paid for. Information can be searched by topic as well.

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