LSE and Sinara launch early-morning data service

Source: Sinara Consultants

UK Software House Sinara Consultants has launched an early-morning data service in conjunction with the London Stock Exchange (LSE) to provide traders with critical data extracted from Company Regulatory Announcements prior to market open.

The first release focuses on providing timely Company Dividend data.

Dividend data is made available to subscribers prior to the opening of the London market, which allows traders or dealer/brokers to feed this data into their daily trading strategies. Further dividend data is made available throughout the day.

The hosted service uses Sinara's Universal Data Extractor (UDE) software tool, which processes all UK regulatory news stories and company announcements, including those containing dividend information, many of which are published early in the morning. Subscribers can therefore receive timely, accurate company data such as dividends well before market open, avoiding the need to manually check every company announcement.

The dividend service is already in use by a major European broker who are seeing the significant benefit of saving time for their traders early in the morning.

Sinara's Sales Director Gary Hughes commented: "There is increasing interest in the market for how to incorporate news into automated trading strategies. Sinara's UDE product processes news items in real-time to provide a dividend service that delivers critical data to Traders faster than other vendors."

Mark Husler, Head of Software and Data business development at the LSE commented: "We're delighted to be working with Sinara in developing this bespoke dividend data solution, and look forward to expanding the service to fit client demand for the delivery of real-time UK regulatory disclosures in a standardised machine-readable format"

Sinara and LSE plan to expand the service to include additional early-morning and intra-day data extracted from regulatory announcements (e.g. turnover, profit, EPS, directors' dealings, etc), in line with client demand.

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