XLON:BEM
Beowulf Mining PLC Stock Price (Quote)
£0.750
-0.0170 (-2.22%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.550 | £0.80 | Friday, 17th May 2024 BEM.L stock ended at £0.750. This is 2.22% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 14.29% from a day low at £0.700 to a day high of £0.80. |
90 days | £0.550 | £1.38 | |
52 weeks | £0.550 | £2.50 |
Date | Open | High | Low | Close | Volume |
May 23, 2022 | £5.23 | £5.45 | £5.22 | £5.35 | 0 |
May 20, 2022 | £5.30 | £5.50 | £5.20 | £5.45 | 159 762 |
May 19, 2022 | £5.23 | £5.35 | £5.23 | £5.35 | 159 029 |
May 18, 2022 | £5.51 | £5.80 | £5.30 | £5.47 | 449 153 |
May 17, 2022 | £5.94 | £5.94 | £5.60 | £5.75 | 329 199 |
May 16, 2022 | £6.05 | £6.05 | £5.80 | £6.05 | 200 970 |
May 13, 2022 | £6.05 | £6.20 | £5.80 | £6.05 | 111 873 |
May 12, 2022 | £6.05 | £6.20 | £5.81 | £6.05 | 30 313 |
May 11, 2022 | £6.00 | £6.05 | £5.80 | £6.05 | 110 826 |
May 10, 2022 | £6.35 | £6.35 | £6.00 | £6.05 | 76 302 |
May 09, 2022 | £6.75 | £6.75 | £6.20 | £6.35 | 70 366 |
May 06, 2022 | £6.85 | £7.00 | £6.50 | £6.75 | 10 170 |
May 05, 2022 | £6.70 | £6.88 | £6.70 | £6.85 | 135 364 |
May 04, 2022 | £6.30 | £6.85 | £6.25 | £6.70 | 278 686 |
May 03, 2022 | £6.25 | £6.35 | £6.10 | £6.30 | 209 982 |
Apr 29, 2022 | £6.25 | £6.25 | £5.85 | £6.25 | 385 496 |
Apr 28, 2022 | £6.25 | £6.30 | £6.01 | £6.20 | 69 598 |
Apr 27, 2022 | £6.15 | £6.60 | £6.05 | £6.25 | 501 373 |
Apr 26, 2022 | £6.65 | £6.70 | £6.00 | £6.15 | 279 593 |
Apr 25, 2022 | £6.90 | £7.00 | £6.60 | £6.65 | 250 985 |
Apr 22, 2022 | £6.90 | £6.95 | £6.83 | £6.90 | 104 331 |
Apr 21, 2022 | £6.90 | £6.97 | £6.81 | £6.90 | 1 423 707 |
Apr 20, 2022 | £6.90 | £6.98 | £6.81 | £6.90 | 373 003 |
Apr 19, 2022 | £6.90 | £7.00 | £6.85 | £6.90 | 569 189 |
Apr 14, 2022 | £6.90 | £7.00 | £6.90 | £6.90 | 101 823 |
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 BEM.L stock historical prices to predict future price movements?
Trend Analysis: Examine the BEM.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 BEM.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.