NYSE:UPL
Delisted
Ultra Petroleum Corp Stock Price (Quote)
$0.135
+0 (+0%)
At Close: Sep 18, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.135 | $0.135 | Wednesday, 18th Sep 2019 UPL stock ended at $0.135. During the day the stock fluctuated 0% from a day low at $0.135 to a day high of $0.135. |
90 days | $0.0800 | $0.345 | |
52 weeks | $0.0800 | $2.04 |
Date | Open | High | Low | Close | Volume |
Jul 10, 2018 | $2.22 | $2.28 | $2.06 | $2.07 | 4 382 752 |
Jul 09, 2018 | $2.19 | $2.25 | $2.18 | $2.20 | 3 274 260 |
Jul 06, 2018 | $2.14 | $2.23 | $2.07 | $2.17 | 2 449 219 |
Jul 05, 2018 | $2.17 | $2.22 | $2.11 | $2.14 | 2 376 575 |
Jul 03, 2018 | $2.21 | $2.28 | $2.12 | $2.17 | 2 234 790 |
Jul 02, 2018 | $2.28 | $2.35 | $2.16 | $2.17 | 3 168 311 |
Jun 29, 2018 | $2.21 | $2.34 | $2.20 | $2.31 | 7 235 398 |
Jun 28, 2018 | $2.27 | $2.29 | $2.18 | $2.20 | 2 392 583 |
Jun 27, 2018 | $2.32 | $2.42 | $2.23 | $2.28 | 4 235 719 |
Jun 26, 2018 | $2.07 | $2.35 | $2.01 | $2.25 | 4 286 604 |
Jun 25, 2018 | $2.12 | $2.14 | $2.01 | $2.06 | 2 555 545 |
Jun 22, 2018 | $2.35 | $2.39 | $2.08 | $2.12 | 8 642 031 |
Jun 21, 2018 | $2.30 | $2.42 | $2.20 | $2.21 | 5 546 779 |
Jun 20, 2018 | $2.07 | $2.33 | $2.06 | $2.31 | 6 579 888 |
Jun 19, 2018 | $2.07 | $2.11 | $2.02 | $2.06 | 3 900 933 |
Jun 18, 2018 | $2.03 | $2.19 | $2.03 | $2.09 | 6 680 890 |
Jun 15, 2018 | $1.97 | $2.08 | $1.95 | $2.03 | 9 290 958 |
Jun 14, 2018 | $2.05 | $2.11 | $1.95 | $1.98 | 3 001 643 |
Jun 13, 2018 | $1.94 | $2.06 | $1.91 | $2.04 | 4 034 249 |
Jun 12, 2018 | $2.04 | $2.05 | $1.90 | $1.95 | 3 515 809 |
Jun 11, 2018 | $1.93 | $2.05 | $1.88 | $2.03 | 3 864 601 |
Jun 08, 2018 | $1.97 | $1.97 | $1.79 | $1.93 | 3 984 939 |
Jun 07, 2018 | $1.81 | $2.03 | $1.81 | $1.96 | 5 629 260 |
Jun 06, 2018 | $1.77 | $1.85 | $1.74 | $1.81 | 2 491 456 |
Jun 05, 2018 | $1.69 | $1.86 | $1.62 | $1.77 | 4 793 887 |
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 UPL stock historical prices to predict future price movements?
Trend Analysis: Examine the UPL 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 UPL 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.