NYSEARCA:XOP
SPDR(R) S&P(R) OIL & GAS EXPLORATION & ETF Price (Quote)
$152.00
+3.02 (+2.03%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $146.73 | $154.30 | Friday, 31st May 2024 XOP stock ended at $152.00. This is 2.03% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 1.89% from a day low at $149.41 to a day high of $152.23. |
90 days | $140.04 | $162.49 | |
52 weeks | $120.11 | $162.49 |
Historical SPDR(R) S&P(R) OIL & GAS EXPLORATION & PRODUCTION ETF prices
Date | Open | High | Low | Close | Volume |
Jul 26, 2016 | $33.03 | $33.97 | $32.93 | $33.92 | 17 339 676 |
Jul 25, 2016 | $33.77 | $33.88 | $33.02 | $33.31 | 16 843 257 |
Jul 22, 2016 | $34.27 | $34.39 | $33.86 | $34.18 | 9 909 112 |
Jul 21, 2016 | $34.69 | $35.31 | $34.03 | $34.11 | 19 437 202 |
Jul 20, 2016 | $34.27 | $34.95 | $33.79 | $34.69 | 12 592 164 |
Jul 19, 2016 | $34.99 | $34.99 | $34.50 | $34.67 | 7 327 924 |
Jul 18, 2016 | $34.56 | $35.06 | $34.30 | $35.02 | 9 030 361 |
Jul 15, 2016 | $35.29 | $35.40 | $34.70 | $34.84 | 8 852 648 |
Jul 14, 2016 | $35.48 | $35.69 | $34.95 | $35.06 | 9 945 526 |
Jul 13, 2016 | $35.65 | $36.08 | $34.56 | $35.11 | 12 886 696 |
Jul 12, 2016 | $35.15 | $36.21 | $34.99 | $35.86 | 16 321 461 |
Jul 11, 2016 | $34.63 | $34.80 | $34.14 | $34.20 | 8 212 854 |
Jul 08, 2016 | $34.20 | $34.49 | $33.63 | $34.30 | 9 820 765 |
Jul 07, 2016 | $34.85 | $35.16 | $33.43 | $33.73 | 16 193 046 |
Jul 06, 2016 | $33.81 | $34.34 | $33.40 | $34.32 | 10 845 239 |
Jul 05, 2016 | $34.64 | $34.74 | $33.50 | $34.08 | 16 335 094 |
Jul 01, 2016 | $34.88 | $35.72 | $34.64 | $35.40 | 10 424 478 |
Jun 30, 2016 | $34.78 | $35.03 | $34.30 | $34.81 | 12 978 244 |
Jun 29, 2016 | $34.80 | $35.39 | $34.57 | $35.14 | 17 160 065 |
Jun 28, 2016 | $33.63 | $34.51 | $33.63 | $34.34 | 14 101 780 |
Jun 27, 2016 | $34.25 | $34.26 | $32.41 | $32.82 | 24 552 262 |
Jun 24, 2016 | $34.64 | $35.49 | $34.48 | $34.63 | 26 234 999 |
Jun 23, 2016 | $36.37 | $36.60 | $36.12 | $36.60 | 8 280 468 |
Jun 22, 2016 | $36.47 | $36.47 | $35.68 | $35.93 | 10 706 687 |
Jun 21, 2016 | $35.50 | $36.39 | $35.24 | $36.24 | 9 544 593 |
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.