NYSEARCA:XLI
THE INDUSTRIAL SELECT SECTOR SPDR FUND ETF Price (Quote)
$125.33
+0.140 (+0.112%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $120.17 | $126.22 | Friday, 17th May 2024 XLI stock ended at $125.33. This is 0.112% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0.617% from a day low at $124.71 to a day high of $125.48. |
90 days | $117.35 | $126.39 | |
52 weeks | $96.12 | $126.39 |
Date | Open | High | Low | Close | Volume |
Jan 31, 2024 | $114.13 | $114.33 | $112.87 | $112.89 | 13 784 176 |
Jan 30, 2024 | $113.36 | $114.37 | $113.36 | $114.21 | 8 213 975 |
Jan 29, 2024 | $113.32 | $114.18 | $113.17 | $114.17 | 5 847 648 |
Jan 26, 2024 | $113.73 | $114.11 | $113.11 | $113.43 | 7 029 594 |
Jan 25, 2024 | $113.09 | $113.63 | $112.80 | $113.61 | 9 868 569 |
Jan 24, 2024 | $113.69 | $113.70 | $112.47 | $112.53 | 9 632 928 |
Jan 23, 2024 | $113.35 | $113.72 | $112.74 | $113.23 | 10 274 887 |
Jan 22, 2024 | $112.84 | $113.61 | $112.84 | $113.32 | 9 906 372 |
Jan 19, 2024 | $111.98 | $112.74 | $111.10 | $112.45 | 10 354 783 |
Jan 18, 2024 | $110.64 | $111.90 | $110.50 | $111.72 | 9 050 632 |
Jan 17, 2024 | $110.19 | $110.94 | $109.95 | $110.23 | 7 396 992 |
Jan 16, 2024 | $111.55 | $111.63 | $110.61 | $110.98 | 10 347 909 |
Jan 12, 2024 | $112.50 | $112.73 | $111.68 | $112.11 | 6 606 999 |
Jan 11, 2024 | $112.41 | $112.57 | $111.20 | $112.12 | 9 055 174 |
Jan 10, 2024 | $111.83 | $112.52 | $111.73 | $112.38 | 9 076 947 |
Jan 09, 2024 | $111.40 | $111.93 | $110.99 | $111.81 | 8 448 210 |
Jan 08, 2024 | $111.13 | $112.16 | $110.64 | $112.16 | 10 790 144 |
Jan 05, 2024 | $111.22 | $111.93 | $111.03 | $111.43 | 7 885 824 |
Jan 04, 2024 | $111.36 | $112.24 | $111.23 | $111.30 | 10 645 251 |
Jan 03, 2024 | $112.22 | $112.42 | $111.09 | $111.16 | 18 537 297 |
Jan 02, 2024 | $113.23 | $113.94 | $112.49 | $112.84 | 8 540 370 |
Dec 29, 2023 | $113.98 | $114.40 | $113.51 | $113.99 | 7 463 413 |
Dec 28, 2023 | $113.97 | $114.37 | $113.82 | $114.13 | 8 240 292 |
Dec 27, 2023 | $113.91 | $114.37 | $113.72 | $114.11 | 5 552 907 |
Dec 26, 2023 | $113.22 | $114.20 | $113.05 | $113.93 | 5 172 784 |
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 XLI stock historical prices to predict future price movements?
Trend Analysis: Examine the XLI 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 XLI 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.