NYSEARCA:XOP
SPDR(R) S&P(R) OIL & GAS EXPLORATION & ETF Price (Quote)
$152.44
+1.98 (+1.32%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $146.73 | $158.26 | Friday, 17th May 2024 XOP stock ended at $152.44. This is 1.32% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.54% from a day low at $150.77 to a day high of $153.09. |
90 days | $135.51 | $162.49 | |
52 weeks | $117.41 | $162.49 |
Date | Open | High | Low | Close | Volume |
Jun 27, 2023 | $123.24 | $124.69 | $122.12 | $124.23 | 3 310 074 |
Jun 26, 2023 | $122.03 | $124.72 | $121.99 | $123.56 | 2 876 661 |
Jun 23, 2023 | $120.70 | $122.50 | $120.42 | $121.68 | 5 036 347 |
Jun 22, 2023 | $123.26 | $123.54 | $121.88 | $122.72 | 5 072 325 |
Jun 21, 2023 | $123.30 | $125.99 | $123.17 | $125.09 | 2 687 519 |
Jun 20, 2023 | $126.24 | $126.24 | $122.32 | $123.83 | 4 640 954 |
Jun 16, 2023 | $128.35 | $128.33 | $126.34 | $127.74 | 5 507 271 |
Jun 15, 2023 | $125.01 | $128.11 | $124.99 | $127.25 | 5 220 044 |
Jun 14, 2023 | $127.81 | $128.16 | $123.24 | $124.70 | 4 697 435 |
Jun 13, 2023 | $126.80 | $129.40 | $126.39 | $126.46 | 5 138 590 |
Jun 12, 2023 | $124.94 | $126.91 | $123.81 | $125.16 | 6 440 274 |
Jun 09, 2023 | $127.75 | $128.81 | $126.57 | $127.29 | 4 680 991 |
Jun 08, 2023 | $129.00 | $129.52 | $125.87 | $128.30 | 5 524 414 |
Jun 07, 2023 | $125.51 | $129.23 | $125.41 | $129.08 | 5 620 279 |
Jun 06, 2023 | $120.48 | $124.63 | $120.11 | $124.53 | 4 283 097 |
Jun 05, 2023 | $126.22 | $126.51 | $121.98 | $122.13 | 4 905 239 |
Jun 02, 2023 | $121.71 | $124.47 | $120.86 | $123.86 | 6 430 038 |
Jun 01, 2023 | $118.36 | $120.81 | $117.42 | $119.04 | 3 814 186 |
May 31, 2023 | $118.00 | $119.39 | $117.41 | $118.09 | 5 100 675 |
May 30, 2023 | $120.17 | $120.50 | $118.26 | $119.88 | 4 682 366 |
May 26, 2023 | $122.17 | $123.73 | $121.19 | $122.34 | 2 853 952 |
May 25, 2023 | $123.83 | $124.05 | $121.54 | $122.76 | 4 053 573 |
May 24, 2023 | $126.31 | $127.18 | $124.46 | $126.16 | 5 395 341 |
May 23, 2023 | $126.39 | $127.57 | $125.33 | $125.50 | 3 185 909 |
May 22, 2023 | $123.06 | $126.34 | $122.90 | $125.23 | 5 164 961 |
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 XOP stock historical prices to predict future price movements?
Trend Analysis: Examine the XOP 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 XOP 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.