Frequently Asked Questions

What is EquBot’s mission?

To give everyone access to investment opportunities that artificial intelligence can uncover.

We utilize AI and proprietary technology throughout our investment solutions to optimize returns, lower operating costs so that we can pass along more to our investors, and keep our products accessible to small and large investors alike.

What is an ETF?

A simplified explanation of an exchange-traded fund (ETF) would be if you could buy and sell “shares” of a mutual fund on a stock exchange. An ETF is more tax efficient, transparent, and less expensive, than a mutual fund. To be more specific, an ETF is an investment vehicle that owns a large quantity of investments (stocks, bonds, commodities, etc.)The investment portfolio is divided into shares and sold to individual investors on exchanges. An ETF combines the diversification of a mutual fund with the trading flexibility of a stock.

What’s the difference between an AI ETF and a mutual fund?

The main difference between an AI ETF and a mutual fund is that a mutual fund is actively managed by a portfolio manager, who picks specific investments with the goal of trying to outperform a benchmark. Mutual funds on average have higher management fees, less transparency, and lower tax efficiency than ETFs.  An AI ETF, on the other hand, utilizes artificial intelligence to replace the portfolio manager to process more market data and generate unbiased investment decisions given a set of investment criteria.

Can a competitor work with Watson and do the same thing as EquBot?

No. Watson is only a tool and it is EquBot’s unique intellectual property and algorithms that provides value to investors. It is silly to think that one can simply tie the cords of a Bloomberg and of Watson and create magic.

What is IBM Watson?

A cognitive computing platform that understands the world the way humans do: through senses, learning, and experience. Cognitive computing platforms are able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. Furthermore, cognitive comping platforms continuously learn, and gain in value and knowledge over time from previous interactions.

Great Watson Explanation Video below