Artificial intelligence (AI) creeps in again, but this time it’s making a direct line to the investment portfolio world. Traditionally, investment portfolios have always been managed by well-educated, savvy, business-like people, but times have changed and will continue to do so if AI has anything to do with it.
When you think about AI you may think about robots and automated manufacturing machinery, but it is so much more than that. It covers all aspects of intelligent behaviour by machines including deep learning and machine learning and is an area of computer science that’s due to become heavily researched and implemented over the next few decades.
The company behind the new AI innovation is San Francisco-based EquBot LLC and according to a recent company statement it’ll soon be launching the very first ever exchange-traded fund to incorporate artificial intelligence into its application. The name of the new AI powered exchange-traded fund is AIEQ and it’s using IBM’s Watson to work off in an attempt to replicate the work of a team of equity research analysts. “There has been an explosion of information,” said Art Amador, co-founder of EquBot. “AI provides a more informed way of investing.”
Having joined forces with ETF Managers Group of Summit, New Jersey, the fund will scan in excess of 6,000 U.S. publicly traded companies every day using advanced AI and machine learning techniques. In using AI the company can be sure a diversified fund will be created at the end of it. AIEQ will filter through millions of news stories, sentiment gauges, regulatory filings, financial models, and company management profiles in order to establish a well diverse portfolio featuring around 30 to 70 stocks in total.
After the stocks have been selected, a group of ETF managers will use these selections to rebalance the portfolio. In theory, this could be everyday if the computer suggests changes are required. “When something is in our portfolio, we know why it’s in there,” said Amador. “We have an investment thesis about that position, and we can explain all the reasons why we own it or all the reasons why we’re going to get rid of it.”
Original source Bloomberg