XLON:PRE
Pensana Plc Stock Price (Quote)
£23.20
+0 (+0%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £21.10 | £28.50 | Friday, 17th May 2024 PRE.L stock ended at £23.20. During the day the stock fluctuated 3.56% from a day low at £22.50 to a day high of £23.30. |
90 days | £21.10 | £35.50 | |
52 weeks | £14.50 | £38.00 |
Date | Open | High | Low | Close | Volume |
Aug 10, 2020 | £0.375 | £0.408 | £0.395 | £0.395 | 1 773 457 |
Aug 07, 2020 | £0.305 | £0.375 | £0.305 | £0.355 | 2 119 395 |
Aug 06, 2020 | £0.320 | £0.300 | £0.300 | £0.300 | 728 994 |
Aug 05, 2020 | £0.320 | £0.323 | £0.318 | £0.320 | 1 040 168 |
Aug 04, 2020 | £0.285 | £0.315 | £0.285 | £0.315 | 6 562 469 |
Aug 03, 2020 | £0.235 | £0.270 | £0.263 | £0.270 | 986 399 |
Jul 31, 2020 | £0.230 | £0.240 | £0.240 | £0.240 | 440 612 |
Jul 30, 2020 | £0.215 | £0.220 | £0.215 | £0.220 | 234 273 |
Jul 29, 2020 | £0.220 | £0.220 | £0.215 | £0.215 | 243 820 |
Jul 28, 2020 | £0.220 | £0.220 | £0.210 | £0.220 | 100 423 |
Jul 27, 2020 | £0.225 | £0.216 | £0.216 | £0.220 | 210 602 |
Jul 24, 2020 | £0.220 | £0.220 | £0.220 | £0.220 | 153 432 |
Jul 23, 2020 | £0.230 | £0.230 | £0.220 | £0.220 | 127 021 |
Jul 22, 2020 | £0.230 | £0.230 | £0.230 | £0.230 | 549 704 |
Jul 21, 2020 | £0.240 | £0.240 | £0.210 | £0.230 | 561 114 |
Jul 20, 2020 | £0.215 | £0.240 | £0.215 | £0.240 | 1 001 116 |
Jul 17, 2020 | £0.215 | £0.215 | £0.215 | £0.215 | 607 072 |
Jul 16, 2020 | £0.205 | £0.220 | £0.220 | £0.220 | 191 120 |
Jul 15, 2020 | £0.210 | £0.210 | £0.190 | £0.205 | 387 607 |
Jul 14, 2020 | £0.205 | £0.220 | £0.220 | £0.205 | 332 475 |
Jul 13, 2020 | £0.200 | £0.205 | £0.200 | £0.205 | 434 503 |
Jul 10, 2020 | £0.200 | £0.200 | £0.200 | £0.200 | 376 333 |
Jul 09, 2020 | £0.210 | £0.210 | £0.200 | £0.200 | 323 101 |
Jul 08, 2020 | £0.240 | £0.240 | £0.200 | £0.210 | 5 102 822 |
Jul 07, 2020 | £0.260 | £0.260 | £0.235 | £0.240 | 398 455 |
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 PRE.L stock historical prices to predict future price movements?
Trend Analysis: Examine the PRE.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 PRE.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.