NYSEARCA:XLF
THE FINANCIAL SELECT SECTOR SPDR FUND ETF Price (Quote)
$42.49
+0.310 (+0.735%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $39.53 | $42.49 | Friday, 17th May 2024 XLF stock ended at $42.49. This is 0.735% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0.687% from a day low at $42.20 to a day high of $42.49. |
90 days | $39.32 | $42.49 | |
52 weeks | $31.36 | $42.49 |
Date | Open | High | Low | Close | Volume |
Oct 15, 2021 | $39.31 | $39.71 | $39.18 | $39.51 | 52 944 074 |
Oct 14, 2021 | $38.72 | $38.94 | $38.35 | $38.93 | 51 499 937 |
Oct 13, 2021 | $38.50 | $38.54 | $37.74 | $38.29 | 71 446 847 |
Oct 12, 2021 | $38.58 | $38.77 | $38.41 | $38.51 | 58 431 810 |
Oct 11, 2021 | $39.11 | $39.40 | $38.61 | $38.63 | 49 851 486 |
Oct 08, 2021 | $38.87 | $39.16 | $38.69 | $39.02 | 35 141 117 |
Oct 07, 2021 | $39.00 | $39.24 | $38.78 | $38.83 | 52 946 666 |
Oct 06, 2021 | $38.21 | $38.63 | $37.93 | $38.60 | 63 294 093 |
Oct 05, 2021 | $38.10 | $38.75 | $37.96 | $38.56 | 55 956 846 |
Oct 04, 2021 | $38.09 | $38.59 | $37.76 | $37.82 | 68 517 387 |
Oct 01, 2021 | $37.63 | $38.41 | $37.49 | $38.15 | 69 451 676 |
Sep 30, 2021 | $38.35 | $38.36 | $37.52 | $37.53 | 72 135 298 |
Sep 29, 2021 | $38.22 | $38.30 | $37.95 | $38.13 | 49 187 718 |
Sep 28, 2021 | $38.73 | $38.92 | $38.04 | $38.10 | 95 334 999 |
Sep 27, 2021 | $38.56 | $38.85 | $38.49 | $38.74 | 58 554 117 |
Sep 24, 2021 | $37.99 | $38.36 | $37.94 | $38.22 | 46 090 677 |
Sep 23, 2021 | $37.47 | $38.20 | $37.41 | $38.02 | 71 423 867 |
Sep 22, 2021 | $36.96 | $37.37 | $36.88 | $37.11 | 58 304 541 |
Sep 21, 2021 | $36.78 | $36.92 | $36.41 | $36.50 | 45 709 984 |
Sep 20, 2021 | $36.59 | $36.69 | $36.03 | $36.55 | 94 394 685 |
Sep 17, 2021 | $37.70 | $37.94 | $37.48 | $37.58 | 63 543 100 |
Sep 16, 2021 | $38.00 | $38.19 | $37.58 | $37.75 | 42 326 058 |
Sep 15, 2021 | $37.48 | $37.95 | $37.44 | $37.86 | 36 166 790 |
Sep 14, 2021 | $38.14 | $38.28 | $37.38 | $37.50 | 45 614 340 |
Sep 13, 2021 | $37.85 | $38.07 | $37.74 | $38.01 | 40 310 409 |
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 XLF stock historical prices to predict future price movements?
Trend Analysis: Examine the XLF 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 XLF 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.