Revolutionizing How Investors Consume Financial News
The internet is saturated with financial news, which often leaves investors with the difficult tasks of filtering news that matters to them and then figuring out what to do with it.
Tickeron has created a solution: Artificial Intelligence that filters the news for you and can translate the news into actionable trade ideas.
With “Newsfeed” on tickeron.com, the Tickeron model is breaking the mold for how investors can use financial news to make trades and manage investment portfolios. Here are a few of the key benefits of Tickeron’s redesigned and innovative Newsfeed:
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A Facebook-like feed of the most relevant and timely financial news
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A news feed that’s customized for you, giving you the ability to filter the news by category
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Algorithms that automatically filter and deliver news to you based on your interests
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Articles that include price charts for the relevant companies/securities mentioned in the news
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Artificial Intelligence programmed to help you find patterns and trends in stock charts, cryptocurrencies, ETFs, and Forex
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Related Trade Ideas: A.I.-driven trade ideas related to or based on the news event
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Related Portfolios: managed portfolios (either by humans or A.I.) that you can follow and use to get trade ideas
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The ability to share news and collaborate with friends and colleagues to form investment clubs
And more. Instead of scanning dozens of financial news sites every day for stories that might influence trade decisions, you can get your news and trade ideas all in one place, with the help of Artificial Intelligence.
Contributor
Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
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