Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF
No trades
Key stats
About Invesco Exchange-Traded Self-Indexed Fund Trust Invesco Russell 1000 Dynamic Multifactor ETF
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Inception date
Nov 8, 2017
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
Invesco Capital Management LLC
Distributor
Invesco Distributors, Inc.
OMFL scores the component securities of the Russell 1000 Index by value, size, momentum, quality, and low volatility. To combine these factors, Oppenheimer uses a rules-based methodology that relies on leading economic indicators and global risk appetite to determine the state of the current market cycle: expansion, slowdown, contraction, or recovery. The fund shifts exposure to favor the factors that tend to fare better in the given market environment. Holdings are weighted by the combined factor score, scaled by market cap. OMFL capitalizes on the cyclicality of factor performance through its use of this dynamic overlay. The fund is reasonably priced for this added feature.
Classification
What's in the fund
Exposure type
Technology Services
Retail Trade
Finance
Electronic Technology
Stock breakdown by region
Top 10 holdings
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.