XLON:BOD
Botswana Diamonds plc Stock Price (Quote)
£0.350
+0.0500 (+16.67%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.300 | £0.400 | Friday, 17th May 2024 BOD.L stock ended at £0.350. This is 16.67% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 16.67% from a day low at £0.300 to a day high of £0.350. |
90 days | £0.266 | £0.450 | |
52 weeks | £0.266 | £1.20 |
Date | Open | High | Low | Close | Volume |
Jun 28, 2023 | £1.13 | £1.15 | £1.00 | £1.00 | 379 212 |
Jun 27, 2023 | £1.07 | £1.10 | £1.00 | £1.08 | 1 300 728 |
Jun 26, 2023 | £1.07 | £1.10 | £1.00 | £1.00 | 3 399 |
Jun 23, 2023 | £1.00 | £1.05 | £1.00 | £1.05 | 711 959 |
Jun 22, 2023 | £1.04 | £1.10 | £1.00 | £1.05 | 676 111 |
Jun 21, 2023 | £1.05 | £1.10 | £1.00 | £1.03 | 1 511 600 |
Jun 20, 2023 | £1.20 | £1.20 | £1.07 | £1.10 | 1 105 870 |
Jun 19, 2023 | £1.05 | £1.13 | £1.13 | £1.13 | 1 590 674 |
Jun 16, 2023 | £1.20 | £1.20 | £1.08 | £1.08 | 1 221 331 |
Jun 15, 2023 | £1.15 | £1.20 | £1.15 | £1.15 | 240 959 |
Jun 14, 2023 | £1.15 | £1.19 | £1.05 | £1.15 | 1 266 453 |
Jun 13, 2023 | £1.15 | £1.15 | £1.10 | £1.10 | 55 724 |
Jun 12, 2023 | £1.15 | £1.20 | £1.05 | £1.10 | 5 414 442 |
Jun 09, 2023 | £1.15 | £1.15 | £1.00 | £1.08 | 796 974 |
Jun 08, 2023 | £1.15 | £1.15 | £1.00 | £1.08 | 101 044 |
Jun 07, 2023 | £1.05 | £1.14 | £1.05 | £1.08 | 884 904 |
Jun 06, 2023 | £1.05 | £1.15 | £1.05 | £1.08 | 756 562 |
Jun 05, 2023 | £1.04 | £1.15 | £1.04 | £1.13 | 1 519 720 |
Jun 02, 2023 | £1.00 | £1.05 | £1.00 | £1.03 | 983 314 |
Jun 01, 2023 | £0.95 | £1.05 | £0.95 | £1.03 | 3 532 712 |
May 31, 2023 | £1.02 | £1.02 | £1.00 | £1.00 | 2 124 743 |
May 30, 2023 | £0.97 | £1.05 | £0.96 | £1.00 | 84 157 |
May 26, 2023 | £0.96 | £1.05 | £0.96 | £1.00 | 724 185 |
May 25, 2023 | £1.05 | £1.05 | £0.95 | £0.96 | 451 876 |
May 24, 2023 | £1.02 | £1.05 | £0.95 | £1.00 | 677 996 |
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 BOD.L stock historical prices to predict future price movements?
Trend Analysis: Examine the BOD.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 BOD.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.