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 |
Nov 17, 2023 | £2.22 | £2.37 | £2.00 | £2.14 | 6 978 381 |
Nov 16, 2023 | £2.50 | £2.50 | £2.20 | £2.20 | 5 458 910 |
Nov 15, 2023 | £2.43 | £2.75 | £2.26 | £2.26 | 5 717 664 |
Nov 14, 2023 | £2.51 | £2.72 | £2.30 | £2.40 | 7 319 937 |
Nov 13, 2023 | £2.38 | £2.80 | £2.30 | £2.60 | 8 222 250 |
Nov 10, 2023 | £2.66 | £3.00 | £2.34 | £2.65 | 8 703 150 |
Nov 09, 2023 | £2.51 | £2.72 | £2.11 | £2.60 | 5 097 650 |
Nov 08, 2023 | £2.50 | £3.00 | £2.50 | £2.52 | 7 280 074 |
Nov 07, 2023 | £2.43 | £3.00 | £2.00 | £2.75 | 8 543 722 |
Nov 06, 2023 | £2.53 | £2.60 | £2.36 | £2.50 | 4 991 155 |
Nov 03, 2023 | £2.38 | £2.98 | £2.35 | £2.52 | 22 185 394 |
Nov 02, 2023 | £2.70 | £2.70 | £2.33 | £2.50 | 10 436 747 |
Nov 01, 2023 | £2.40 | £2.75 | £2.00 | £2.50 | 16 437 119 |
Oct 31, 2023 | £2.58 | £2.74 | £2.20 | £2.40 | 20 527 732 |
Oct 30, 2023 | £2.00 | £3.20 | £2.00 | £2.64 | 49 303 884 |
Oct 27, 2023 | £3.90 | £4.80 | £3.53 | £4.50 | 20 892 861 |
Oct 26, 2023 | £4.10 | £4.50 | £3.40 | £3.90 | 48 283 699 |
Oct 25, 2023 | £4.70 | £5.15 | £3.86 | £4.10 | 34 025 665 |
Oct 24, 2023 | £6.05 | £6.35 | £4.86 | £4.98 | 35 592 938 |
Oct 23, 2023 | £8.98 | £8.98 | £4.71 | £5.30 | 66 208 853 |
Oct 20, 2023 | £3.49 | £3.49 | £2.93 | £2.94 | 19 735 213 |
Oct 19, 2023 | £3.32 | £3.77 | £3.19 | £3.30 | 15 213 281 |
Oct 18, 2023 | £3.40 | £3.40 | £3.12 | £3.35 | 12 011 643 |
Oct 17, 2023 | £3.10 | £3.55 | £3.00 | £3.40 | 29 477 943 |
Oct 16, 2023 | £3.39 | £3.39 | £2.96 | £3.10 | 15 175 090 |
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.