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Multi Units Luxembourg LYXOR US Curve Steepening 2-10 UCITS ETF ACC CapitalisationMulti Units Luxembourg LYXOR US Curve Steepening 2-10 UCITS ETF ACC CapitalisationMulti Units Luxembourg LYXOR US Curve Steepening 2-10 UCITS ETF ACC Capitalisation

Multi Units Luxembourg LYXOR US Curve Steepening 2-10 UCITS ETF ACC Capitalisation

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Overview
Analysis Discussions Technicals Seasonals

LU2018762653 chart


Full chart

Key stats


Assets under management (AUM)
‪713.13 M‬ USD
Fund flows (1Y)
‪−727.25 M‬ USD
Dividend yield (indicated)
—
Discount/Premium to NAV
0.0004%

About Multi Units Luxembourg LYXOR US Curve Steepening 2-10 UCITS ETF ACC Capitalisation


Issuer
SAS Rue la Boétie
Brand
Amundi
Expense ratio
0.30%
Home page
amundietf.co.uk
Inception date
Jul 18, 2019
Index tracked
Solactive USD Daily (x7) Steepener 2-10 Index
Management style
Passive
ISIN
LU2018762653
The ETF aims to track the Solactive USD Daily (x7) Steepener 2-10 Index.

Classification


Asset Class
Fixed income
Category
Government, treasury
Focus
Investment grade
Niche
Intermediate
Strategy
Multi-factor
Weighting scheme
Multi-factor
Selection criteria
Multi-factor

LU2018762653 analysis


What's in the fund
Exposure type
StocksBonds, Cash & Other
Government
Corporate
Stocks0.01%
Finance0.01%
Bonds, Cash & Other99.99%
Government72.74%
Corporate27.25%

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.