ETFs - Profile

AI Powered Equity ETF

US > Multi-Cap > Core

Rank

Universe Rank
62 57

Summary

The fund seeks capital appreciation by investing in companies across any size in the United States.

The sub-adviser’s investment process starts with a list of companies in the benchmark index and the research team utilizes quantitative techniques and fundamental analysis to identify investment opportunities.

Next, the research team invests significantly in equity securities.
 
The team utilizes a proprietary, quantitative model (the EquBot Model) that runs on the IBM Watson platform.

Then the team applies Artificial Intelligence technology to build predictive models on 6,000 US companies.

Each day, the EquBot Model ranks each company based on the probability of the company benefiting from current economic conditions, trends, and world events.

Next, the EquBot Model identifies approximately 30 to 125 companies with the greatest potential over the next twelve months for appreciation.

Then the manager constructs a portfolio of stocks from a list of companies favored by More

Philosophy Strategy Process Reaserch Risk Management

Price

  • Last Close
  • $35.34
    -0.82
  • 52 Week HL
  • $44.01 - $34.65
  • Net Assets
  • $167.5 M
  • Expense Ratio

Portfolio

  • Holdings
  • -
  • Turnover Ratio
  • -

Performance
-13.3 % YTD

  • 3 Year
  • 46.13%
  • 5 Year
  • 49.95%
  • Best
  • 30.85%
    2019
  • Worst
  • -13.34%
    2022

Returns +
A

2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012
AIEQ -13%18%25%31%-8%0%0%0%0%0%0%
S&P 500 -10%27%16%29%-6%19%10%-1%11%30%13%

Returns +
Q

2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012
Q1 -13.3% 6.2% -21.2% 19% 0.8% - - - - - -
Q2 - 4.1% 25.7% 0.6% 10.4% -100% - - - - -
Q3 - 1.6% -100% -1.2% 5.2% -100% - - - - -
Q4 - 0.5% - 8.5% -19.2% 2.8% - - - - -

Returns +
M

J F M A M J J A S O N D
2022 -13.3% - - - - - - - - - - -
2021 8.7% -0.1% -2.2% 4.3% -4.1% 6.8% 0.8% 5.9% -3.4% 4.1% -3% -0.5%

Annual
Return

Index Comparison

Alpha

NAV