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Accern and TrueRisk Labs Announce the Next Generation of Unique Machine-Learning Trading Signals and Portfolios


NEW YORK, July 13, 2018 /PRNewswire-PRWeb/ -- Accern - a leading provider of predictive news analytics solutions, which extracts actionable insights from billions of public news websites and blogs on multiple asset classes (equities, commodities, cryptocurrencies, and forex), has partnered with TrueRisk Labs, an innovative provider of flexible and robust machine-learning algorithms. Together, they have launched a new dataset and built - Trident - an optimized portfolio utilizing their proprietary Accern-TRL dataset and TrueRisk Labs' portfolio construction AI.

The dataset includes easily actionable daily price and volatility forecasts and a monthly rebalanced long/short offering based on S&P 500 stocks. Both are available through Accern and TrueRisk Labs APIs.

"We have seen tremendous value in TrueRisk Labs AI-Portfolio Construction software, and we are extremely excited to partner with them to develop news-driven AI portfolios for asset managers globally," says Kumesh Aroomoogan, Co-founder and CEO of Accern. "In the era of big data, it's difficult to keep up with every movement of information and how it can affect your portfolio companies. Combining our predictive news data along with TrueRisk Labs AI-Portfolio construction software, we can help asset managers automatically mitigate portfolio risks and generate alpha using machine-learning."

"We focused on going beyond generic sentiment analysis to develop a data set with concrete, actionable insights ? something that helps you set-up a trade intelligently by knowing the target price and the downside risk in the trade," says Ritabrata Bhattacharyya, Co Founder and Chief Quant of TrueRisk Labs. "The Trident data-set achieves that goal and is leveraged by deep-learning methods of portfolio generation to create the truly diversified Trident portfolio."

The Accern-TRL dataset and Trident portfolio are created by leveraging predictive news, sentiment, fundamental, and quantitative metrics with advanced machine-learning algorithms. These independently calculated metrics often agree and provide investors with opportunities for increased alpha through greater degrees of accuracy in predicting stock price and volatility. The combination is a powerful tool for asset managers looking to confirm their internally generated investment ideas, or to find new ideas. The deep-learning AI is focused on finding non-linear patterns between the accumulated data and constantly adapts and improves in response to performance and changing market conditions.

"Choosing Accern for these products was a natural fit. They are experts in analyzing sentiment and extracting alpha from alternative data sources. The Trident dataset is a perfect combination of qualitative data and the quantitative trading signals our systems were built to generate," says David Wilson, Co-founder and CEO of TrueRisk Labs.

About Accern
Accern is a data design startup that provides predictive news analytics solutions to companies to assist with intelligent data-driven decisions. Each day, the company monitors billions of websites, extracts numerous insights per story, and creates tailored predictive news analytics solutions for their clients with flexible delivery options. Accern recently made Forbes 30 Under 30 for 2018 under Enterprise Technologies.

Accern is headquartered on 55 Broadway, Suite 416, New York, NY 10006. For more information, please visit http://www.accern.com, email info(at)accern.com or call 1-347-745-6649. Follow Accern on Twitter and LinkedIn.

About TrueRisk Labs
TrueRisk Labs develops deep learning algorithms specifically for use in financial services. They work with hedge funds and asset managers to implement deep-learning models, autonomous learning investing systems, and self-adaptive trading signals for publicly traded securities. TrueRisk Labs is headquartered on 1325 Avenue of the Americas, 28th floor, New York, NY 10019. For more information, please visit http://truerisklabs.com or email gavinracz(at)truerisklabs.com.

 

SOURCE Accern


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