Roundhill Ball Metaverse ETFRoundhill Ball Metaverse ETFRoundhill Ball Metaverse ETF

Roundhill Ball Metaverse ETF

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Key stats


Assets under management (AUM)
‪340.97 M‬USD
Fund flows (1Y)
‪−218.69 M‬USD
Dividend yield (indicated)
0.13%
Discount/Premium to NAV
−0.2%

About Roundhill Ball Metaverse ETF


Issuer
Roundhill Financial, Inc.
Brand
Roundhill
Expense ratio
0.59%
Inception date
Jun 30, 2021
Index tracked
Ball Metaverse Index - Benchmark TR Net
Management style
Passive
METV holds equities, selected by a committee composed of subject matter experts, which fall under their definition of Metaverse the next iteration of the internet. To identify companies that interact with or enable the Metaverse, the committee uses information such as patent filings, third-party usage data and metrics, scientific and technology updates, executive presentations, and consumer interviews. There are seven categories: hardware, compute, networking, virtual platforms, interchange standards, payments, and content, assets & identity services. Allocation per category is capped at 25%. The index is tier-weighted into pure-play, core, and non-core companies. Pure-plays are overweighted with 2.5x of the core component's initial weight, while core firms receive 2x the initial weight of the non-core component. Weights are adjusted by the holdings count in each category during quarterly rebalancing. Prior to Jan. 31, 2022, the fund traded under the ticker META.

Classification


Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Internet
Strategy
Fundamental
Weighting scheme
Tiered
Selection criteria
Committee
What's in the fund
Exposure type
StocksBonds, Cash & Other
Technology Services
Electronic Technology
ETF
Stock breakdown by region
85%14%
Summarizing what the indicators are suggesting.
Oscillators
Neutral
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Neutral
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Neutral
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Neutral
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Summary
Neutral
SellBuy
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Moving Averages
Neutral
SellBuy
Strong sellStrong buy
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Moving Averages
Neutral
SellBuy
Strong sellStrong buy
Strong sellSellNeutralBuyStrong buy
Displays a symbol's price movements over previous years to identify recurring trends.