NYSEARCA:XLY
THE CONSUMER DISCRETIONARY SELECT SECTOR ETF Price (Quote)
$173.96
-1.18 (-0.674%)
At Close: May 29, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $173.53 | $180.28 | Wednesday, 29th May 2024 XLY stock ended at $173.96. This is 0.674% less than the trading day before Tuesday, 28th May 2024. During the day the stock fluctuated 0.480% from a day low at $173.80 to a day high of $174.64. |
90 days | $168.90 | $185.29 | |
52 weeks | $147.83 | $185.29 |
Historical THE CONSUMER DISCRETIONARY SELECT SECTOR SPDR FUND prices
Date | Open | High | Low | Close | Volume |
Sep 18, 2023 | $171.00 | $171.17 | $169.39 | $169.62 | 3 718 616 |
Sep 15, 2023 | $173.98 | $174.22 | $171.40 | $171.79 | 5 931 685 |
Sep 14, 2023 | $173.65 | $175.23 | $172.84 | $174.78 | 4 550 961 |
Sep 13, 2023 | $172.26 | $173.57 | $171.70 | $173.06 | 3 992 380 |
Sep 12, 2023 | $172.67 | $173.83 | $171.72 | $171.72 | 4 953 051 |
Sep 11, 2023 | $171.26 | $173.56 | $171.18 | $173.29 | 5 317 111 |
Sep 08, 2023 | $168.52 | $169.90 | $168.29 | $168.75 | 2 848 060 |
Sep 07, 2023 | $166.50 | $168.95 | $166.07 | $168.75 | 4 813 141 |
Sep 06, 2023 | $168.90 | $169.16 | $167.06 | $168.28 | 5 438 628 |
Sep 05, 2023 | $169.37 | $170.18 | $168.39 | $169.79 | 4 713 055 |
Sep 01, 2023 | $171.68 | $172.12 | $168.68 | $169.67 | 5 309 142 |
Aug 31, 2023 | $170.29 | $171.64 | $170.05 | $170.71 | 3 832 731 |
Aug 30, 2023 | $169.14 | $170.81 | $168.72 | $170.18 | 3 644 078 |
Aug 29, 2023 | $165.28 | $169.52 | $165.28 | $169.45 | 4 442 295 |
Aug 28, 2023 | $165.72 | $165.88 | $164.33 | $165.32 | 2 979 462 |
Aug 25, 2023 | $163.57 | $165.13 | $162.11 | $164.66 | 5 045 114 |
Aug 24, 2023 | $166.38 | $166.58 | $162.80 | $162.84 | 3 972 357 |
Aug 23, 2023 | $164.01 | $166.57 | $163.85 | $166.09 | 3 862 980 |
Aug 22, 2023 | $165.80 | $166.13 | $164.15 | $164.77 | 4 000 598 |
Aug 21, 2023 | $163.61 | $164.79 | $162.68 | $164.53 | 3 014 787 |
Aug 18, 2023 | $161.27 | $163.09 | $161.03 | $162.66 | 4 124 024 |
Aug 17, 2023 | $166.31 | $166.46 | $162.93 | $163.03 | 4 352 517 |
Aug 16, 2023 | $167.20 | $168.30 | $165.79 | $165.84 | 3 349 986 |
Aug 15, 2023 | $169.61 | $170.34 | $167.67 | $167.92 | 3 313 191 |
Aug 14, 2023 | $168.68 | $170.26 | $168.35 | $170.24 | 2 819 009 |
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.
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 XLY stock historical prices to predict future price movements?
Trend Analysis: Examine the XLY 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.
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.
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 XLY 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.