FIRST TRUST NASDAQ CLEAN EDGE GREEN ENERGY INDEX FUNDFIRST TRUST NASDAQ CLEAN EDGE GREEN ENERGY INDEX FUNDFIRST TRUST NASDAQ CLEAN EDGE GREEN ENERGY INDEX FUND

FIRST TRUST NASDAQ CLEAN EDGE GREEN ENERGY INDEX FUND

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Key stats


Assets under management (AUM)
‪12.04 B‬MXN
Fund flows (1Y)
‪−6.12 B‬MXN
Dividend yield (indicated)
0.98%
Discount/Premium to NAV
1.8%

About FIRST TRUST NASDAQ CLEAN EDGE GREEN ENERGY INDEX FUND


Issuer
AJM Ventures LLC
Brand
First Trust
Expense ratio
0.59%
Inception date
Feb 8, 2007
Index tracked
NASDAQ Clean Edge Green Energy
Management style
Passive
QCLN holds a broad portfolio of US-listed firms in the clean energy industry. Eligible companies must be manufacturers, developers, distributors, or installers of one of the following four sub-sectors: advanced materials (that enable clean-energy or reduce the need for petroleum products), energy intelligence (smart grid), energy storage and conversion (hybrid batteries), or renewable electricity generation (solar, wind, geothermal, etc). Because there is subjectivity in classifying companies as clean energy, potential investors would be well-served by reviewing the funds portfolio to make sure your definition of clean energy matches QCLNs.

Classification


Asset Class
Equity
Category
Sector
Focus
Theme
Niche
Renewable energy
Strategy
Vanilla
Weighting scheme
Market cap
Selection criteria
Market cap
What's in the fund
Exposure type
StocksBonds, Cash & Other
Electronic Technology
Consumer Durables
Producer Manufacturing
Utilities
Stock breakdown by region
100%
Summarizing what the indicators are suggesting.
Oscillators
Neutral
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Oscillators
Neutral
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Summary
Neutral
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Strong sellStrong buy
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Summary
Neutral
SellBuy
Strong sellStrong buy
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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.