Multi-asset execution and order management systems company FlexTrade has announced the integration of Kensho Technologies pre-trade analytics solution into the FlexTRADER EMS, which provides a detailed, real-time event feed to assist a trader’s decision-making process when executing a trade.
Andy Mahoney
This integration with Kensho brings a unique level of ‘market context’ to the FlexTRADER blotter,” said Andy Mahoney, Head of Sales at FlexTrade UK. “By including Kensho data in pre-trade and real-time analysis, we ensure that traders will receive a more meaningful picture of performance.
How It Works
Kensho captures events to surface company-specific key developments, such as product launches, mergers and acquisitions or corporate announcements. These events come from reputable news outlets and other sources, and cover an assortment of categories, including regulatory events, partnerships, investments and corporate actions.
Daniel Nadler
Kensho’s partnership with FlexTrade continues our mission to deliver actionable intelligence to our users,” said Daniel Nadler, CEO & Founder of Kensho. “This is achieved through an ever-expanding knowledge graph of the world that leverages artificial intelligence to power the insight gained from a complete picture of the events that impact companies.
A unique and notable feature of this data is the Kensho Smart Connection feature, which uses AI to connect key developments between tickers, surfacing second-order relationships, and cases when a key development in another company’s news feed will likely impact the company the trader is analysing.
Within the FlexTRADER blotter, the trader can select Kensho from a list of pre-trade options to open a timeline of recent and relevant events from which t hey can then select to learn more.
Whether used as a stand-alone, pre-trade tool, or in conjunction with other integrations embedded within the FlexTRADER EMS, the Kensho event feed is a powerful tool to assist traders in proving Best Execution under MiFID II.
This integration brings historical comparative analysis into the real world by comparing like-for-like days rather than just the order characteristics,” concluded Mahoney.