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

$144.11
-0.91 (-0.627%)
At Close: May 31, 2024

Range Low Price High Price Comment
30 days $143.36 $154.95 Friday, 31st May 2024 XSW stock ended at $144.11. This is 0.627% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 1.90% from a day low at $143.36 to a day high of $146.08.
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
Mar 01, 2017 $58.45 $58.84 $58.45 $58.84 1 123
Feb 28, 2017 $58.73 $58.73 $58.18 $58.18 2 880
Feb 27, 2017 $58.85 $59.07 $58.78 $59.03 13 437
Feb 24, 2017 $58.35 $58.94 $58.35 $58.94 1 875
Feb 23, 2017 $58.89 $58.89 $58.54 $58.69 1 240
Feb 22, 2017 $58.69 $59.02 $58.69 $58.99 804
Feb 21, 2017 $58.51 $59.05 $58.51 $59.05 2 745
Feb 17, 2017 $58.33 $58.50 $58.32 $58.47 3 614
Feb 16, 2017 $58.50 $58.50 $58.39 $58.39 685
Feb 15, 2017 $58.17 $58.44 $58.17 $58.44 1 383
Feb 14, 2017 $57.93 $58.18 $57.92 $58.18 5 527
Feb 13, 2017 $58.16 $58.27 $58.16 $58.27 2 181
Feb 10, 2017 $57.91 $58.14 $57.91 $58.14 3 599
Feb 09, 2017 $57.04 $57.80 $57.04 $57.80 1 713
Feb 08, 2017 $56.54 $56.82 $56.54 $56.82 376
Feb 07, 2017 $57.01 $57.02 $56.62 $56.83 2 793
Feb 06, 2017 $57.14 $57.14 $56.78 $56.78 1 993
Feb 03, 2017 $56.92 $57.18 $56.92 $57.15 7 206
Feb 02, 2017 $56.24 $56.33 $56.11 $56.23 12 224
Feb 01, 2017 $56.50 $56.50 $55.77 $55.89 20 556
Jan 31, 2017 $56.13 $56.15 $55.84 $56.14 9 181
Jan 30, 2017 $56.04 $56.16 $55.69 $56.12 3 284
Jan 27, 2017 $56.52 $56.58 $56.43 $56.52 1 208
Jan 26, 2017 $56.60 $56.63 $56.52 $56.63 1 094
Jan 25, 2017 $57.19 $57.19 $56.94 $56.95 3 043

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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