$116.73
-0.86 (-0.731%)
At Close: Jun 03, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $114.20 | $122.20 | Wednesday, 3rd Jun 2026 XLY stock ended at $116.73. This is 0.731% less than the trading day before Tuesday, 2nd Jun 2026. During the day the stock fluctuated 1.29% from a day low at $116.13 to a day high of $117.62. |
| 90 days | $105.19 | $122.20 | |
| 52 weeks | $103.88 | $125.01 |
Historical THE CONSUMER DISCRETIONARY SELECT SECTOR SPDR FUND prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 03, 2026 | $116.63 | $117.62 | $116.13 | $116.73 | 6 001 598 |
| Jun 02, 2026 | $117.52 | $118.27 | $116.56 | $117.59 | 7 980 695 |
| Jun 01, 2026 | $119.73 | $119.83 | $117.96 | $118.21 | 10 889 144 |
| May 29, 2026 | $121.56 | $122.20 | $120.83 | $120.87 | 6 082 486 |
| May 28, 2026 | $121.10 | $122.19 | $120.57 | $122.06 | 7 575 595 |
| May 27, 2026 | $120.69 | $121.95 | $120.55 | $121.55 | 13 098 381 |
| May 26, 2026 | $119.73 | $120.24 | $118.70 | $119.45 | 5 006 998 |
| May 22, 2026 | $119.16 | $119.87 | $118.98 | $119.18 | 512 |
| May 21, 2026 | $117.59 | $119.22 | $116.81 | $118.70 | 6 774 754 |
| May 20, 2026 | $115.27 | $117.95 | $114.78 | $117.94 | 10 163 478 |
| May 19, 2026 | $115.10 | $115.32 | $114.20 | $115.03 | 8 312 708 |
| May 18, 2026 | $116.50 | $117.78 | $115.53 | $116.32 | 8 425 031 |
| May 15, 2026 | $117.31 | $117.37 | $116.31 | $116.53 | 10 431 344 |
| May 14, 2026 | $119.04 | $119.70 | $118.56 | $118.67 | 5 890 588 |
| May 13, 2026 | $118.06 | $119.23 | $117.45 | $118.72 | 4 419 227 |
| May 12, 2026 | $119.02 | $119.32 | $117.45 | $118.29 | 6 255 606 |
| May 11, 2026 | $119.38 | $119.86 | $118.51 | $119.37 | 5 729 941 |
| May 08, 2026 | $120.25 | $121.13 | $119.94 | $120.20 | 6 052 081 |
| May 07, 2026 | $120.59 | $121.10 | $119.32 | $119.88 | 7 674 082 |
| May 06, 2026 | $118.78 | $120.54 | $118.78 | $119.87 | 9 752 059 |
| May 05, 2026 | $118.59 | $119.29 | $118.06 | $118.07 | 6 062 392 |
| May 04, 2026 | $118.35 | $119.30 | $117.19 | $117.72 | 10 719 922 |
| May 01, 2026 | $118.61 | $119.77 | $117.82 | $118.63 | 12 213 800 |
| Apr 30, 2026 | $118.50 | $118.67 | $116.43 | $118.35 | 9 519 831 |
| Apr 29, 2026 | $116.21 | $117.13 | $116.13 | $116.84 | 8 141 091 |
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.
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