Key stats
About QRAFT AI-Enhanced U.S. Large Cap Momentum ETF
Home page
Inception date
May 20, 2019
Structure
Open-Ended Fund
Dividend treatment
Distributes
Distribution tax treatment
Qualified dividends
Income tax type
Capital Gains
Max ST capital gains rate
39.60%
Max LT capital gains rate
20.00%
Primary advisor
Exchange Traded Concepts LLC
Distributor
Foreside Fund Services LLC
Actively-managed AMOM uses a proprietary artificial intelligence (AI) security selection process that extracts patterns from analyzing data. The AI system finds a period within those 3 to 36 months that resulted in the best performance of stocks in the past and ranks those stocks by their residual returns, which are defined as its total return after removal of market, size and value risks factored into portfolio construction under conventional portfolio management. AMOM uses this metric on the stock management theory which states that stocks with higher residual returns have the potential to perform better and more consistently over time than conventional momentum stocks. The fund limits the weighting of a single security to 10% and no more than 40% of the funds assets may be invested in securities with more than 5% weighting in the portfolio.
Classification
What's in the fund
Exposure type
Electronic Technology
Technology Services
Finance
Retail Trade
Stock breakdown by region
Summarizing what the indicators are suggesting.
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Oscillators
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Summary
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Displays a symbol's price movements over previous years to identify recurring trends.