QQQ

The 2023 ETF Series Trust II GMO International Quality ETF

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Key stats


Assets under management (AUM)
‪3.49 M‬USD
Fund flows (1Y)
‪1.17 M‬USD
Dividend yield (indicated)
Discount/Premium to NAV
0.1%

About The 2023 ETF Series Trust II GMO International Quality ETF


Issuer
Grantham, Mayo, Van Otterloo & Co. LLC
Brand
GMO
Expense ratio
0.60%
Home page
Inception date
Oct 28, 2024
Index tracked
No Underlying Index
Management style
Active
QLTI seeks total return by investing in non-US equities that it considers to be high-quality. A high-quality company is defined by its solid operational foundation and ability to generate future returns. For its selection process, QLTI utilizes a mix of quantitative metrics, such as profitability and leverage, along with qualitative assessments of market conditions and growth prospects. It focuses on identifying companies that have demonstrated strong returns on past investments and show potential for effective cash flow management, whether through reinvestment or shareholder returns. Valuation techniques, including discounted cash flow and price-to-earnings ratios, help identify stocks that may be undervalued. While QLTI has flexibility in targeting specific sectors or regions, it maintains liquidity through investments in the GMO US Treasury Fund and other money market instruments, allowing for varied exposure across developed and emerging markets.
Summarizing what the indicators are suggesting.
Oscillators
Neutral
SellBuy
Strong sellStrong buy
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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.