Multi Units Luxembourg Lyxor Ftse 100 Ucits ETF Monthly Hedged to USD CapitalisationMulti Units Luxembourg Lyxor Ftse 100 Ucits ETF Monthly Hedged to USD CapitalisationMulti Units Luxembourg Lyxor Ftse 100 Ucits ETF Monthly Hedged to USD Capitalisation

Multi Units Luxembourg Lyxor Ftse 100 Ucits ETF Monthly Hedged to USD Capitalisation

No trades
See on Supercharts

Key stats


Assets under management (AUM)
‪3.03 M‬USD
Fund flows (1Y)
‪−224.12 K‬USD
Dividend yield (indicated)
Discount/Premium to NAV
−0.003%
Shares outstanding
‪16.14 K‬
Expense ratio
0.30%

About Multi Units Luxembourg Lyxor Ftse 100 Ucits ETF Monthly Hedged to USD Capitalisation


Issuer
SAS Rue la Boétie
Brand
Amundi
Home page
Inception date
Jul 5, 2016
Structure
Luxembourg SICAV
Index tracked
FTSE 100
Replication method
Synthetic
Management style
Passive
ISIN
LU1650492504
The investment objective of MULTI UNITS LUXEMBOURG - Amundi FTSE 100 is to track both the upward and the downward evolution of the FTSE 100 Total Return Index (the Index) denominated in GBP.

Classification


Asset Class
Equity
Category
Size and style
Focus
Large cap
Niche
Broad-based
Strategy
Vanilla
Geography
U.K.
Weighting scheme
Market cap
Selection criteria
Market cap
What's in the fund
Exposure type
StocksBonds, Cash & Other
Technology Services
Electronic Technology
Finance
Retail Trade
Stock breakdown by region
96%3%
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.