Snapshot*
Top 10 Holdings
What is XNTK?
The SPDR NYSE Technology ETF seeks to provide investment results that, before fees and expenses, correspond generally to the total return performance of the NYSE Technology Index (the "Index"). The NYSE Technology Index is composed of 35 leading U.S.-listed technology-related companies. The investible universe of the Index comprises all stocks in the Information Technology sector and technology-related stocks in the Consumer Discretionary sector, as defined by the Index Provider that are listed on major U.S. stock exchanges. The Index is equal-dollar-weighted to ensure that each of its component securities is represented in approximate equal dollar value.
XNTKPerformance Measures**
for the time period Sep 29, 2000 to Jul 23, 2026
1M Trailing Return: -6.1%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 15.0%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -76.3%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 27.7%
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: 0.47
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: 0.13
The annualized return divided by the max drawdown for the selected time period.
ETFs related toXNTK
ETFs correlated to XNTK include QTEC, IGM, 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 toXNTK
Simons D.E Shaw Step 7 (Sorted)
Category
Tactical allocation, Momentum and mean reversion, Volatility hedging, Leveraged ETFs, Sector & commodity rotation, Macro trend
OOS Cumulative Return
92.89%
Simon | KMLM switcher | Simon Shorts Ed. + MbM | (single pops)| BT 4/13/22
Category
Tactical rotation, trend-following, momentum, volatility hedging, leveraged ETFs, inverse ETFs, managed futures, risk-on/off switching
OOS Cumulative Return
92.84%
Create your own algorithmic trading strategy with XNTK 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.