NYSEARCA:XLF
THE FINANCIAL SELECT SECTOR SPDR FUND ETF Price (Quote)
$41.64
+0.600 (+1.46%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $40.17 | $42.49 | Friday, 31st May 2024 XLF stock ended at $41.64. This is 1.46% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 1.66% from a day low at $41.00 to a day high of $41.68. |
90 days | $39.53 | $42.49 | |
52 weeks | $31.36 | $42.49 |
Historical THE FINANCIAL SELECT SECTOR SPDR FUND THE FINANCIAL SELECT SECTOR SPDR FUND prices
Date | Open | High | Low | Close | Volume |
Jan 09, 2023 | $35.50 | $35.70 | $35.16 | $35.25 | 47 318 615 |
Jan 06, 2023 | $34.84 | $35.49 | $34.60 | $35.38 | 39 838 897 |
Jan 05, 2023 | $34.75 | $34.75 | $34.37 | $34.61 | 43 022 027 |
Jan 04, 2023 | $34.67 | $35.12 | $34.57 | $34.87 | 43 828 593 |
Jan 03, 2023 | $34.45 | $34.69 | $34.07 | $34.32 | 37 350 644 |
Dec 30, 2022 | $34.04 | $34.27 | $33.92 | $34.20 | 24 074 884 |
Dec 29, 2022 | $34.00 | $34.35 | $33.92 | $34.29 | 26 326 693 |
Dec 28, 2022 | $34.00 | $34.09 | $33.78 | $33.82 | 24 254 317 |
Dec 27, 2022 | $34.02 | $34.11 | $33.80 | $33.94 | 25 515 472 |
Dec 23, 2022 | $33.74 | $34.00 | $33.57 | $33.95 | 16 927 735 |
Dec 22, 2022 | $33.84 | $33.87 | $33.21 | $33.65 | 20 194 882 |
Dec 21, 2022 | $33.86 | $34.16 | $33.84 | $34.01 | 23 490 857 |
Dec 20, 2022 | $33.53 | $33.77 | $33.41 | $33.57 | 29 325 856 |
Dec 19, 2022 | $33.40 | $33.74 | $33.19 | $33.30 | 29 783 768 |
Dec 16, 2022 | $33.60 | $33.80 | $33.39 | $33.67 | 33 066 559 |
Dec 15, 2022 | $34.10 | $34.24 | $33.74 | $34.02 | 45 853 600 |
Dec 14, 2022 | $34.99 | $35.33 | $34.53 | $34.78 | 39 686 038 |
Dec 13, 2022 | $35.90 | $35.90 | $34.85 | $35.08 | 35 527 181 |
Dec 12, 2022 | $34.55 | $34.98 | $34.39 | $34.96 | 37 822 677 |
Dec 09, 2022 | $34.49 | $34.78 | $34.48 | $34.71 | 28 024 067 |
Dec 08, 2022 | $34.69 | $34.86 | $34.50 | $34.63 | 35 048 817 |
Dec 07, 2022 | $34.59 | $34.98 | $34.51 | $34.59 | 25 589 771 |
Dec 06, 2022 | $35.00 | $35.20 | $34.45 | $34.66 | 35 618 235 |
Dec 05, 2022 | $35.66 | $35.72 | $34.86 | $34.91 | 36 853 234 |
Dec 02, 2022 | $35.72 | $35.96 | $35.61 | $35.94 | 29 645 041 |
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.