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 |
Aug 07, 2020 | $24.20 | $24.86 | $24.15 | $24.84 | 60 112 696 |
Aug 06, 2020 | $24.25 | $24.42 | $24.15 | $24.32 | 33 054 067 |
Aug 05, 2020 | $24.16 | $24.39 | $24.13 | $24.33 | 34 702 158 |
Aug 04, 2020 | $24.00 | $24.04 | $23.87 | $24.00 | 30 677 367 |
Aug 03, 2020 | $24.13 | $24.29 | $23.96 | $24.10 | 42 964 777 |
Jul 31, 2020 | $24.01 | $24.06 | $23.71 | $24.03 | 48 912 485 |
Jul 30, 2020 | $24.00 | $24.07 | $23.71 | $24.02 | 51 147 605 |
Jul 29, 2020 | $23.97 | $24.49 | $23.93 | $24.46 | 36 161 628 |
Jul 28, 2020 | $23.98 | $24.12 | $23.90 | $24.01 | 35 316 097 |
Jul 27, 2020 | $24.16 | $24.18 | $23.86 | $24.07 | 42 907 112 |
Jul 24, 2020 | $24.35 | $24.48 | $24.19 | $24.27 | 40 794 807 |
Jul 23, 2020 | $24.26 | $24.47 | $24.18 | $24.33 | 49 452 318 |
Jul 22, 2020 | $24.19 | $24.32 | $24.10 | $24.31 | 44 762 800 |
Jul 21, 2020 | $24.00 | $24.43 | $23.97 | $24.31 | 45 759 400 |
Jul 20, 2020 | $23.82 | $23.98 | $23.75 | $23.85 | 39 813 300 |
Jul 17, 2020 | $24.20 | $24.22 | $23.94 | $23.95 | 43 865 300 |
Jul 16, 2020 | $23.94 | $24.40 | $23.85 | $24.16 | 73 421 000 |
Jul 15, 2020 | $24.25 | $24.25 | $23.71 | $24.15 | 90 050 900 |
Jul 14, 2020 | $23.46 | $23.74 | $23.26 | $23.68 | 101 349 900 |
Jul 13, 2020 | $23.76 | $23.91 | $23.43 | $23.57 | 100 773 800 |
Jul 10, 2020 | $22.68 | $22.68 | $22.68 | $22.68 | 0 |
Jul 09, 2020 | $23.16 | $23.21 | $22.50 | $22.68 | 69 965 200 |
Jul 08, 2020 | $22.92 | $23.23 | $22.84 | $23.17 | 52 475 600 |
Jul 07, 2020 | $23.22 | $23.42 | $22.87 | $22.93 | 43 004 000 |
Jul 06, 2020 | $23.48 | $23.64 | $22.97 | $23.41 | 59 661 900 |
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.