NYSEARCA:XLRE
The Real Estate Select Sector SPDR Fund ETF Price (Quote)
$38.53
+0.0300 (+0.0779%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $36.63 | $39.03 | Friday, 14th Jun 2024 XLRE stock ended at $38.53. This is 0.0779% more than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 1.14% from a day low at $38.21 to a day high of $38.65. |
90 days | $35.57 | $39.62 | |
52 weeks | $31.99 | $40.75 |
Historical The Real Estate Select Sector SPDR Fund prices
Date | Open | High | Low | Close | Volume |
Jun 14, 2024 | $38.36 | $38.65 | $38.21 | $38.53 | 4 941 653 |
Jun 13, 2024 | $38.45 | $38.63 | $38.21 | $38.50 | 3 498 212 |
Jun 12, 2024 | $38.87 | $39.03 | $38.28 | $38.31 | 7 537 082 |
Jun 11, 2024 | $38.03 | $38.24 | $37.91 | $38.04 | 3 488 777 |
Jun 10, 2024 | $37.85 | $38.30 | $37.65 | $38.16 | 4 109 864 |
Jun 07, 2024 | $37.76 | $38.07 | $37.64 | $37.97 | 5 138 759 |
Jun 06, 2024 | $38.07 | $38.31 | $37.88 | $38.29 | 3 875 935 |
Jun 05, 2024 | $38.29 | $38.29 | $37.99 | $38.21 | 4 527 183 |
Jun 04, 2024 | $37.83 | $38.41 | $37.79 | $38.26 | 5 435 285 |
Jun 03, 2024 | $38.12 | $38.20 | $37.70 | $37.90 | 5 826 248 |
May 31, 2024 | $37.54 | $38.06 | $37.36 | $38.05 | 7 903 244 |
May 30, 2024 | $37.04 | $37.32 | $36.98 | $37.31 | 5 732 497 |
May 29, 2024 | $36.80 | $36.85 | $36.63 | $36.78 | 6 070 844 |
May 28, 2024 | $37.59 | $37.69 | $37.08 | $37.13 | 4 692 470 |
May 24, 2024 | $37.58 | $37.59 | $37.30 | $37.35 | 4 636 823 |
May 23, 2024 | $38.17 | $38.17 | $37.33 | $37.35 | 5 583 340 |
May 22, 2024 | $38.43 | $38.56 | $38.04 | $38.16 | 6 958 305 |
May 21, 2024 | $38.43 | $38.57 | $38.34 | $38.49 | 3 620 894 |
May 20, 2024 | $38.70 | $38.79 | $38.48 | $38.52 | 3 661 862 |
May 17, 2024 | $38.82 | $38.86 | $38.62 | $38.76 | 6 099 147 |
May 16, 2024 | $38.86 | $39.01 | $38.72 | $38.76 | 7 173 069 |
May 15, 2024 | $38.81 | $38.95 | $38.67 | $38.83 | 9 668 855 |
May 14, 2024 | $38.16 | $38.37 | $38.00 | $38.18 | 9 636 283 |
May 13, 2024 | $37.97 | $38.14 | $37.70 | $37.91 | 6 839 448 |
May 10, 2024 | $38.00 | $38.02 | $37.69 | $37.81 | 6 880 770 |
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 XLRE stock historical prices to predict future price movements?
Trend Analysis: Examine the XLRE 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 XLRE 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.