The fintech and advertisement technology company, Invest Inc., has launched a Machine Learning investment research platform. The new platform provides investors with Artificial Intelligence-enabled technology to guide them through making investment decisions.
Invest Inc. Bets on AI
The investment research company, which claims to offer personalized institutional-grade market insights to investors, said the new platform will be available to investors at little to no cost. Additionally, the company praised the AI-powered advertisement recommendation engine as a platform for advertisers to promote their brands and generate leads.
To support the development, Invest is planning to issue $18 million worth of common shares to investors. Further, it has tapped tZERO Markets as its exclusive placement agent and broker-dealer.
Besides that, Invest has launched a paper-trading tournament that will be hosted on the Invest Terminal. The tournament will feature a $200,000 cash prize for the top performers, according to the company's statement issued today (Thursday).
Founded in 2020, Invest operates a Machine Learning recommendation engine for customized information and market insight tools. This function is separate from its newly unveiled AI-based advertisement recommendation engine. Machine Learning (ML) is a component of Artificial Intelligence (AI) that allows machines to learn, reason, and solve problems.
Invest Inc.'s launch of a proprietary ML investment platform occurred while the concept is gaining significance in the forex market. According to an exclusive report compiled last month by Finance Magnates, AI and ML have been streamlining sections of the trading industry, including the areas of data analysis, pattern recognition, automated trading, and execution.
AI and Forex B2B Solutions
Additionally, AI and ML have been making significant differences in customer service and personalization. In particular, the concepts involve using data-driven strategies to enable business-to-business (B2B) forex organizations access to information. This can provide suggestions, market insights, or product offerings.
However, despite the progress made in AI and ML, the concept needs a human touch, according to FXStreet's Senior Analyst, Ian Coleman, who recently spoke to Finance Magnates. Coleman acknowledged that the industry trends have moved towards AI and robots over the last couple of years.
"I think the trouble with automated trading is that, for the majority of the time, you are back-testing. You're looking at past data to try and predict future moves or trades," Coleman explained. "If you can use automated trading as an overlay to your own analysis, then I think it definitely has benefits."
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