MicroSectors FANG ETNs due January 8, 2038MicroSectors FANG ETNs due January 8, 2038MicroSectors FANG ETNs due January 8, 2038

MicroSectors FANG ETNs due January 8, 2038

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Key stats


Assets under management (AUM)
‪403.06 M‬USD
Fund flows (1Y)
‪138.57 M‬USD
Dividend yield (indicated)
Discount/Premium to NAV
0.2%

About MicroSectors FANG ETNs due January 8, 2038


Issuer
Bank of Montreal
Brand
REX Microsectors
Expense ratio
0.58%
Home page
Inception date
Nov 12, 2019
Index tracked
NYSE FANG+ index
Management style
Passive
FNGS is an ETN that provides exposure to an index of FANG companies (Facebook, Apple, Amazon, Netflix, and Google [Alphabet Inc.]), as well as other companies that exhibit similar characteristics. Presumably, the index will always include these five companies, an index committee is responsible for selecting the additional names. Eligible stocks must be listed on a US exchange (ADRs are acceptable), classified in the technology or consumer discretionary sectors, and exhibit characteristics of high growth technology and internet/media companies along with meeting minimum market capitalization and liquidity requirements. At least ten stocks must be included in the index, the number of constituents when the note launched so investors can expect a high level of concentration. All holdings are equally weighted, and are rebalanced quarterly.
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.