Lyxor Index Fund Lyxor Smart Overnight Return UCITS ETF C GBP CapitalisationLyxor Index Fund Lyxor Smart Overnight Return UCITS ETF C GBP CapitalisationLyxor Index Fund Lyxor Smart Overnight Return UCITS ETF C GBP Capitalisation

Lyxor Index Fund Lyxor Smart Overnight Return UCITS ETF C GBP Capitalisation

No trades
See on Supercharts

Key stats


Assets under management (AUM)
‪693.20 M‬GBP
Fund flows (1Y)
‪111.29 M‬GBP
Dividend yield (indicated)
Discount/Premium to NAV
0.04%
Shares outstanding
‪592.98 K‬
Expense ratio
0.10%

About Lyxor Index Fund Lyxor Smart Overnight Return UCITS ETF C GBP Capitalisation


Issuer
SAS Rue la Boétie
Brand
Amundi
Inception date
May 29, 2015
Structure
Luxembourg SICAV
Index tracked
No Underlying Index
Replication method
Synthetic
Management style
Active
Primary advisor
Amundi Asset Management SASU
ISIN
LU1230136894
The LYXOR SMART OVERNIGHT RETURN is a UCITS compliant fund that aims to achieve short term returns higher than the benchmark index SONIO

Classification


Asset Class
Fixed income
Category
Broad market, broad-based
Focus
Investment grade
Niche
Ultra-short term
Strategy
Active
Geography
Developed Europe
Weighting scheme
Proprietary
Selection criteria
Proprietary
What's in the fund
Exposure type
StocksBonds, Cash & Other
Electronic Technology
Technology Services
Finance
Health Technology
Stock breakdown by region
97%2%
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.