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 |
Jan 04, 2024 | $172.87 | $174.49 | $172.29 | $172.35 | 5 654 721 |
Jan 03, 2024 | $175.97 | $176.06 | $173.50 | $173.57 | 7 506 107 |
Jan 02, 2024 | $178.25 | $178.33 | $176.47 | $177.15 | 7 680 632 |
Dec 29, 2023 | $179.99 | $180.28 | $178.22 | $178.81 | 4 131 898 |
Dec 28, 2023 | $181.12 | $181.46 | $179.78 | $179.92 | 2 804 247 |
Dec 27, 2023 | $180.47 | $181.33 | $180.38 | $180.78 | 3 747 132 |
Dec 26, 2023 | $179.88 | $180.47 | $179.53 | $180.24 | 2 736 387 |
Dec 22, 2023 | $180.09 | $180.86 | $178.74 | $179.48 | 4 259 100 |
Dec 21, 2023 | $179.98 | $180.87 | $178.99 | $180.76 | 3 828 010 |
Dec 20, 2023 | $180.60 | $182.19 | $178.06 | $178.10 | 4 279 437 |
Dec 19, 2023 | $180.61 | $181.88 | $180.57 | $181.41 | 3 596 341 |
Dec 18, 2023 | $179.46 | $180.57 | $179.10 | $180.00 | 3 763 101 |
Dec 15, 2023 | $178.88 | $179.65 | $178.29 | $179.21 | 5 626 312 |
Dec 14, 2023 | $178.01 | $179.55 | $177.33 | $178.84 | 7 611 162 |
Dec 13, 2023 | $174.13 | $176.66 | $172.77 | $176.47 | 5 426 742 |
Dec 12, 2023 | $173.46 | $174.31 | $172.77 | $174.19 | 3 704 014 |
Dec 11, 2023 | $172.99 | $173.87 | $172.50 | $173.63 | 9 445 557 |
Dec 08, 2023 | $171.53 | $173.52 | $171.41 | $173.19 | 4 047 301 |
Dec 07, 2023 | $171.68 | $172.71 | $171.13 | $172.40 | 3 688 899 |
Dec 06, 2023 | $172.02 | $172.86 | $170.86 | $170.99 | 6 094 811 |
Dec 05, 2023 | $169.52 | $172.43 | $169.38 | $170.74 | 3 910 170 |
Dec 04, 2023 | $169.85 | $171.18 | $169.44 | $170.44 | 9 210 488 |
Dec 01, 2023 | $168.06 | $171.14 | $167.74 | $171.09 | 7 467 567 |
Nov 30, 2023 | $169.02 | $169.09 | $167.46 | $168.78 | 6 159 591 |
Nov 29, 2023 | $170.74 | $171.60 | $168.90 | $169.02 | 3 804 181 |
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.