Get started
Multi Units Luxembourg Lyxor Ftse 100 Ucits ETF DistributionMulti Units Luxembourg Lyxor Ftse 100 Ucits ETF DistributionMulti Units Luxembourg Lyxor Ftse 100 Ucits ETF Distribution

Multi Units Luxembourg Lyxor Ftse 100 Ucits ETF Distribution

No trades
See on Supercharts
Overview
Analysis Ideas Discussions Technicals Seasonals

LU1650492256 chart


Full chart

Key stats


Assets under management (AUM)
‪35.68 M‬ GBP
Fund flows (1Y)
‪−8.30 M‬ GBP
Dividend yield (indicated)
4.19%
Discount/Premium to NAV
−0.008%

About Multi Units Luxembourg Lyxor Ftse 100 Ucits ETF Distribution


Issuer
SAS Rue la Boétie
Brand
Lyxor
Expense ratio
0.14%
Home page
amundietf.lu
Inception date
Apr 15, 2014
Index tracked
FTSE 100
Management style
Passive
ISIN
LU1650492256
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
Weighting scheme
Market cap
Selection criteria
Market cap

LU1650492256 analysis


What's in the fund
Exposure type
StocksBonds, Cash & Other
Technology Services
Retail Trade
Finance
Electronic Technology
Health Technology
Stock breakdown by region
95%4%

Technicals

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

Seasonals


Displays a symbol's price movements over previous years to identify recurring trends.