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 |
Feb 19, 2016 | $23.60 | $23.87 | $23.20 | $23.85 | 28 836 317 |
Feb 18, 2016 | $25.60 | $25.66 | $24.10 | $24.29 | 28 258 257 |
Feb 17, 2016 | $24.47 | $25.48 | $24.12 | $25.33 | 29 258 896 |
Feb 16, 2016 | $25.16 | $25.16 | $23.75 | $24.19 | 15 228 220 |
Feb 12, 2016 | $24.53 | $24.91 | $23.68 | $24.51 | 22 411 216 |
Feb 11, 2016 | $23.90 | $24.18 | $23.01 | $23.90 | 28 675 916 |
Feb 10, 2016 | $24.40 | $25.38 | $23.97 | $24.40 | 15 424 733 |
Feb 09, 2016 | $24.91 | $25.38 | $23.96 | $24.60 | 20 257 985 |
Feb 08, 2016 | $25.75 | $25.78 | $24.79 | $25.60 | 20 282 096 |
Feb 05, 2016 | $26.99 | $27.04 | $26.08 | $26.28 | 18 175 408 |
Feb 04, 2016 | $27.72 | $28.48 | $27.12 | $27.34 | 29 130 138 |
Feb 03, 2016 | $26.95 | $27.58 | $25.47 | $27.52 | 27 274 981 |
Feb 02, 2016 | $26.56 | $26.88 | $26.05 | $26.36 | 21 188 515 |
Feb 01, 2016 | $27.79 | $27.85 | $26.96 | $27.52 | 20 364 732 |
Jan 29, 2016 | $27.46 | $28.53 | $27.29 | $28.49 | 26 526 334 |
Jan 28, 2016 | $27.89 | $28.05 | $26.59 | $27.21 | 34 832 179 |
Jan 27, 2016 | $25.92 | $27.23 | $25.68 | $26.26 | 28 761 180 |
Jan 26, 2016 | $25.11 | $26.14 | $24.59 | $26.14 | 17 230 206 |
Jan 25, 2016 | $25.64 | $26.59 | $24.54 | $24.55 | 19 830 193 |
Jan 22, 2016 | $26.70 | $27.34 | $25.94 | $26.47 | 30 213 719 |
Jan 21, 2016 | $23.65 | $25.64 | $23.59 | $25.42 | 25 479 378 |
Jan 20, 2016 | $23.18 | $24.15 | $22.06 | $23.75 | 38 225 195 |
Jan 19, 2016 | $25.44 | $25.48 | $23.41 | $23.87 | 22 350 917 |
Jan 15, 2016 | $24.75 | $25.35 | $24.36 | $25.16 | 20 866 246 |
Jan 14, 2016 | $25.49 | $26.30 | $24.85 | $26.11 | 25 691 648 |
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.