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SPDR(R) S&P(R) SOFTWARE & SERVICES ETF Price (Quote)

$153.40
+0.0980 (+0.0639%)
At Close: May 17, 2024

Range Low Price High Price Comment
30 days $140.52 $153.78 Friday, 17th May 2024 XSW stock ended at $153.40. This is 0.0639% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0.359% from a day low at $152.96 to a day high of $153.51.
90 days $140.52 $157.10
52 weeks $117.11 $157.62

Historical SPDR(R) S&P(R) SOFTWARE & SERVICES ETF prices

Date Open High Low Close Volume
Jan 10, 2017 $56.12 $56.12 $55.85 $56.11 1 485
Jan 09, 2017 $56.26 $56.26 $55.93 $56.08 2 376
Jan 06, 2017 $55.94 $56.15 $55.82 $56.12 3 223
Jan 05, 2017 $55.92 $55.92 $55.56 $55.77 1 506
Jan 04, 2017 $55.56 $55.96 $55.56 $55.91 6 982
Jan 03, 2017 $54.65 $55.22 $54.65 $54.72 8 282
Dec 30, 2016 $54.44 $54.65 $54.44 $54.54 3 339
Dec 29, 2016 $54.51 $54.80 $54.51 $54.74 2 774
Dec 28, 2016 $54.89 $54.89 $54.56 $54.56 1 232
Dec 27, 2016 $55.17 $55.40 $55.16 $55.32 1 372
Dec 23, 2016 $54.81 $54.87 $54.81 $54.85 422
Dec 22, 2016 $55.14 $55.14 $54.73 $54.73 2 125
Dec 21, 2016 $55.55 $55.58 $55.30 $55.30 5 105
Dec 20, 2016 $55.78 $55.78 $55.50 $55.73 4 199
Dec 19, 2016 $55.31 $55.75 $55.31 $55.59 10 707
Dec 16, 2016 $55.47 $55.47 $55.23 $55.23 741
Dec 15, 2016 $55.92 $56.03 $55.65 $55.65 3 228
Dec 14, 2016 $56.10 $56.10 $55.49 $55.67 13 747
Dec 13, 2016 $56.00 $56.03 $55.78 $55.86 3 896
Dec 12, 2016 $55.97 $55.98 $55.53 $55.61 5 121
Dec 09, 2016 $56.49 $56.49 $56.06 $56.13 5 008
Dec 08, 2016 $55.84 $56.33 $55.67 $56.26 7 403
Dec 07, 2016 $55.02 $55.74 $55.02 $55.67 5 596
Dec 06, 2016 $55.04 $55.04 $54.49 $54.98 5 812
Dec 05, 2016 $54.86 $54.95 $54.80 $54.90 14 627

FAQ

What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.

Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.

How can I use XSW stock historical prices to predict future price movements?
Trend Analysis: Examine the XSW stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.

What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.

This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.

A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.

Why do the XSW stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.

How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.
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About SPDR(R) S&P(R) SOFTWARE & SERVICES ETF

XSW was created on 09/28/11 by State Street Global Advisors. The ETF tracks an equal-weighted index of software & services companies, as defined by GICS.... XSW Profile

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