XLON:UPL
Ultra Petroleum Corp Stock Price (Quote)
£3.23
+0 (+0%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £3.15 | £4.65 | Monday, 20th May 2024 UPL.L stock ended at £3.23. During the day the stock fluctuated 0% from a day low at £3.23 to a day high of £3.23. |
90 days | £2.60 | £4.85 | |
52 weeks | £0.400 | £8.98 |
Date | Open | High | Low | Close | Volume |
Jan 31, 2024 | £3.38 | £3.50 | £3.25 | £3.50 | 6 570 013 |
Jan 30, 2024 | £3.30 | £3.40 | £3.00 | £3.30 | 9 623 644 |
Jan 29, 2024 | £3.42 | £3.50 | £3.00 | £3.20 | 6 098 781 |
Jan 26, 2024 | £3.60 | £3.60 | £3.20 | £3.45 | 11 102 862 |
Jan 25, 2024 | £3.65 | £3.70 | £3.40 | £3.50 | 9 631 658 |
Jan 24, 2024 | £3.65 | £3.80 | £3.55 | £3.65 | 4 176 093 |
Jan 23, 2024 | £3.90 | £4.00 | £3.60 | £3.65 | 6 510 899 |
Jan 22, 2024 | £3.85 | £4.00 | £3.43 | £3.90 | 8 401 268 |
Jan 19, 2024 | £3.95 | £4.10 | £3.70 | £3.85 | 3 901 071 |
Jan 18, 2024 | £3.94 | £4.14 | £3.90 | £3.92 | 37 184 330 |
Jan 17, 2024 | £3.91 | £4.00 | £3.90 | £3.95 | 3 534 313 |
Jan 16, 2024 | £3.84 | £4.10 | £3.84 | £3.95 | 3 974 481 |
Jan 15, 2024 | £3.86 | £4.16 | £3.77 | £3.86 | 6 799 779 |
Jan 12, 2024 | £3.89 | £4.00 | £3.64 | £3.85 | 7 597 889 |
Jan 11, 2024 | £3.72 | £4.00 | £3.70 | £3.76 | 4 917 124 |
Jan 10, 2024 | £3.83 | £4.00 | £3.71 | £3.80 | 3 415 577 |
Jan 09, 2024 | £3.61 | £3.94 | £3.60 | £3.85 | 4 755 928 |
Jan 08, 2024 | £3.66 | £3.70 | £3.40 | £3.60 | 3 450 898 |
Jan 05, 2024 | £3.90 | £3.99 | £3.55 | £3.60 | 6 916 934 |
Jan 04, 2024 | £3.77 | £3.99 | £3.66 | £3.90 | 7 831 287 |
Jan 03, 2024 | £3.78 | £3.90 | £3.50 | £3.70 | 6 958 249 |
Jan 02, 2024 | £4.04 | £4.20 | £3.77 | £3.86 | 7 156 461 |
Dec 29, 2023 | £3.96 | £4.10 | £3.90 | £4.05 | 750 798 |
Dec 28, 2023 | £4.00 | £4.00 | £4.00 | £4.00 | 0 |
Dec 27, 2023 | £4.04 | £4.20 | £3.93 | £4.05 | 6 079 424 |
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.L stock historical prices to predict future price movements?
Trend Analysis: Examine the UPL.L 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.L 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.