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REKSA DANA INDEKS INSIGHT ETF FTSE INDONESIA LOW VOLATILITY INDEXREKSA DANA INDEKS INSIGHT ETF FTSE INDONESIA LOW VOLATILITY INDEXREKSA DANA INDEKS INSIGHT ETF FTSE INDONESIA LOW VOLATILITY INDEX

REKSA DANA INDEKS INSIGHT ETF FTSE INDONESIA LOW VOLATILITY INDEX

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Overview
Analysis Discussions Technicals Seasonals

XILV chart


Full chart

Key stats


Assets under management (AUM)
—
Fund flows (1Y)
—
Dividend yield (indicated)
—
Discount/Premium to NAV
—
Shares outstanding
—
Expense ratio
3.20%

About REKSA DANA INDEKS INSIGHT ETF FTSE INDONESIA LOW VOLATILITY INDEX


Issuer
PT Insight Investments Management
Brand
Insight
Home page
insights.id
Inception date
Jun 10, 2020
Index tracked
FTSE Indonesia Low Volatility Factor Index - IDR - Benchmark TR Gross
Replication method
Physical
Management style
Passive
Primary advisor
PT Insight Investments Management
ISIN
IDN000440104
INSIGHT ETF FTSE INDONESIA LOW VOLATILITY FACTOR INDEX bertujuan untuk memberikan hasil investasi yang optimal melalui investasi sesuai Kebijakan Investasi, dengan hasil investasi yang setara dengan kinerja FTSE Indonesia Low Volatility Factor Index

Classification


Asset Class
Equity
Category
Size and style
Focus
Total market
Niche
Broad-based
Strategy
Low volatility
Geography
Indonesia
Weighting scheme
Volatility
Selection criteria
Volatility

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.

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