NASDAQ:XOG
Delisted
Extraction Oil & Gas Inc. Stock Price (Quote)
$0.271
+0 (+0%)
At Close: Sep 04, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.271 | $0.271 | Friday, 4th Sep 2020 XOG stock ended at $0.271. During the day the stock fluctuated 0% from a day low at $0.271 to a day high of $0.271. |
90 days | $0.271 | $1.70 | |
52 weeks | $0.210 | $4.18 |
Date | Open | High | Low | Close | Volume |
Feb 03, 2020 | $1.41 | $1.52 | $1.38 | $1.46 | 1 434 589 |
Jan 31, 2020 | $1.50 | $1.50 | $1.37 | $1.42 | 1 084 081 |
Jan 30, 2020 | $1.43 | $1.49 | $1.40 | $1.45 | 1 235 957 |
Jan 29, 2020 | $1.51 | $1.57 | $1.44 | $1.46 | 3 584 880 |
Jan 28, 2020 | $1.50 | $1.55 | $1.42 | $1.50 | 3 032 359 |
Jan 27, 2020 | $1.42 | $1.55 | $1.42 | $1.49 | 2 829 407 |
Jan 24, 2020 | $1.55 | $1.55 | $1.42 | $1.53 | 2 758 245 |
Jan 23, 2020 | $1.59 | $1.60 | $1.51 | $1.55 | 1 787 497 |
Jan 22, 2020 | $1.72 | $1.72 | $1.59 | $1.68 | 1 429 655 |
Jan 21, 2020 | $1.78 | $1.82 | $1.70 | $1.72 | 1 199 956 |
Jan 17, 2020 | $1.92 | $1.95 | $1.83 | $1.84 | 930 209 |
Jan 16, 2020 | $1.91 | $1.97 | $1.87 | $1.88 | 1 212 554 |
Jan 15, 2020 | $1.94 | $2.03 | $1.89 | $1.90 | 1 078 460 |
Jan 14, 2020 | $1.95 | $2.02 | $1.95 | $1.95 | 673 714 |
Jan 13, 2020 | $2.08 | $2.14 | $1.89 | $1.95 | 1 426 856 |
Jan 10, 2020 | $2.21 | $2.30 | $2.10 | $2.11 | 2 126 590 |
Jan 09, 2020 | $2.21 | $2.33 | $2.12 | $2.22 | 2 885 651 |
Jan 08, 2020 | $2.43 | $2.52 | $2.27 | $2.27 | 1 806 832 |
Jan 07, 2020 | $2.38 | $2.47 | $2.29 | $2.45 | 2 383 403 |
Jan 06, 2020 | $2.47 | $2.59 | $2.33 | $2.40 | 3 332 591 |
Jan 03, 2020 | $2.22 | $2.48 | $2.19 | $2.41 | 5 773 322 |
Jan 02, 2020 | $2.16 | $2.17 | $2.07 | $2.11 | 2 608 683 |
Dec 31, 2019 | $1.92 | $2.18 | $1.90 | $2.12 | 3 994 278 |
Dec 30, 2019 | $2.07 | $2.07 | $1.92 | $1.92 | 2 433 856 |
Dec 27, 2019 | $2.16 | $2.19 | $2.00 | $2.02 | 1 954 334 |
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 XOG stock historical prices to predict future price movements?
Trend Analysis: Examine the XOG 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 XOG 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.