Snapshot*
What is FNGS?
The return on the MicroSectors FANG+ ETNs is linked to the performance of the NYSE FANG+ Index minus the applicable fees. The NYSE FANG+ Index, an equal-dollar weighted index, was created by NYSE in 2017 to provide exposure to a group of highly-traded growth stocks of next generation technology and tech-enabled companies. This includes the five core FANG stocks--Facebook, Apple, Amazon, Netflix and Alphabet s Google plus another five actively-traded technology growth stocks Alibaba, Baidu, NVIDIA, Tesla and Twitter. MicroSectors indices provide concentrated exposure to a concentrated basket of stocks in a given sub-sector, or microsector .
FNGSPerformance Measures**
for the time period Nov 13, 2019 to Dec 5, 2025
1M Trailing Return: 0.2%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 5.6%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -49.0%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 31.8%
The typical amount that daily returns vary from the mean of the returns over the time period, standardized to a period of a year.
Sharpe Ratio: 1.08
The annualized arithmetic mean of the daily returns divided by the annualized standard deviation of the daily returns for the selected time period.
Calmar Ratio: 0.69
The annualized return divided by the max drawdown for the selected time period.
ETFs related toFNGS
ETFs correlated to FNGS include FNGU, FNGO, BULZ
What is ETF correlation?
Correlation is a measure of the strength of the relationship between two ETFs. It quantifies the degree to which prices of the two ETFs typically move together.
Here, correlation is measured over the past year with the Pearson correlation coefficient (Pearon’s r), which ranges from -1 to 1.
Using ETF correlations in portfolio and strategy construction
ETF correlations can help you create investing strategies and portfolios. Use them to:
- •Build a diversified portfolio from uncorrelated or inversely correlated ETFs with the aim of minimizing portfolio risk.
- •Compare correlated or related ETFs to find one with a lower expense ratio or higher trading volume.
- •Create an investing strategy that hedges an ETF with an uncorrelated or inversely correlated ETF.
Trading Strategies
Related toFNGS
v6 Symphony Sorter
Category
Rules-based rotation, Leveraged ETFs (3x), Trend + RSI, Tech/Nasdaq focus, Semiconductors, Volatility hedging (VIX), Treasuries/cash defense
OOS Cumulative Return
364.17%
FTL's 🌟 Starburst GEN-II v1.c w/ BWC Ultimate FR [Removed BB] Added Walter's Champagne and Cocaine Strats and NOVA | (multiple TQQQ, one crypto) KMLM Switcher MonkeyBusiness WM74 + Wash
Category
Tactical multi-asset, leveraged ETFs, volatility hedging, managed futures, mean reversion, momentum, regime switching, daily rebalancing
OOS Cumulative Return
209.62%
Create your own algorithmic trading strategy with FNGS using Composer
FAQ
Disclaimers
We show information directly obtained from our data provider, Xignite. Data shown here is provided by Xignite, an unaffiliated third party. Composer believes the information shown here is reliable, but has not been verified and there is no guarantee that the information is accurate.
We show information based on calculations performed by Composer using data from our provider. Information provided here is based on calculations performed by Composer using data sourced from Xignite, an unaffiliated third party. Composer believes this information is reliable, but has not verified the data and there is no guarantee that the calculations are accurate.