Siren Nasdaq NexGen Economy ETFSiren Nasdaq NexGen Economy ETFSiren Nasdaq NexGen Economy ETF

Siren Nasdaq NexGen Economy ETF

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Key stats


Assets under management (AUM)
‪66.01 M‬USD
Fund flows (1Y)
‪−15.67 M‬USD
Dividend yield (indicated)
0.65%
Discount/Premium to NAV
−0.2%

About Siren Nasdaq NexGen Economy ETF


Issuer
SRN Advisors LLC
Brand
Siren
Expense ratio
0.68%
Home page
Inception date
Jan 17, 2018
Index tracked
Siren NASDAQ Blockchain Economy Index
Management style
Passive
BLCN is one of the first ETFs to focus on blockchain technology. The fund tracks an index of global companies committed to blockchain development. Although not an active fund, the index committee has wide discretion in selecting companies. The main criteria used to evaluate a company is the level of material resources it has committed to researching, developing, supporting, and expanding the use of blockchain technology. All criteria are eventually rolled up to form the BlockChain Score. The index includes the 50-100 highest scoring companies, giving greater weight to higher-scoring companies. Because blockchain technology has uses across varying industries, BLCN could have exposure to multiple sectors. The index is reconstituted and rebalanced semi-annually. Note: The fund was acquired by SRN Advisors. Prior to November 23, 2020, the fund and index names were Reality Shares Nasdaq NexGen Economy ETF and Reality Shares Nasdaq Blockchain Economy Index, respectively.

Classification


Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Blockchain
Strategy
Fundamental
Weighting scheme
Proprietary
Selection criteria
Committee
What's in the fund
Exposure type
Stocks
Technology Services
Finance
Electronic Technology
Stock breakdown by region
82%4%13%
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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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.