XLON:BOD
Botswana Diamonds plc Stock Price (Quote)
£0.318
+0 (+0%)
At Close: May 29, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.300 | £0.400 | Wednesday, 29th May 2024 BOD.L stock ended at £0.318. During the day the stock fluctuated 0% from a day low at £0.318 to a day high of £0.318. |
90 days | £0.266 | £0.450 | |
52 weeks | £0.266 | £1.20 |
Historical Botswana Diamonds plc prices
Date | Open | High | Low | Close | Volume |
Oct 23, 2023 | £0.567 | £0.650 | £0.550 | £0.561 | 319 582 |
Oct 20, 2023 | £0.567 | £0.600 | £0.567 | £0.600 | 300 000 |
Oct 19, 2023 | £0.550 | £0.650 | £0.550 | £0.600 | 281 612 |
Oct 18, 2023 | £0.576 | £0.600 | £0.576 | £0.600 | 20 000 |
Oct 17, 2023 | £0.600 | £0.600 | £0.600 | £0.600 | 0 |
Oct 16, 2023 | £0.625 | £0.625 | £0.600 | £0.600 | 29 600 |
Oct 13, 2023 | £0.576 | £0.625 | £0.576 | £0.625 | 44 392 |
Oct 12, 2023 | £0.619 | £0.650 | £0.576 | £0.600 | 570 569 |
Oct 11, 2023 | £0.625 | £0.650 | £0.600 | £0.600 | 475 664 |
Oct 10, 2023 | £0.610 | £0.650 | £0.600 | £0.625 | 692 108 |
Oct 09, 2023 | £0.625 | £0.700 | £0.610 | £0.700 | 241 211 |
Oct 06, 2023 | £0.625 | £0.625 | £0.625 | £0.625 | 100 000 |
Oct 05, 2023 | £0.613 | £0.675 | £0.613 | £0.650 | 1 589 778 |
Oct 04, 2023 | £0.675 | £0.700 | £0.600 | £0.650 | 937 343 |
Oct 03, 2023 | £0.700 | £0.701 | £0.670 | £0.700 | 1 450 000 |
Oct 02, 2023 | £0.80 | £0.80 | £0.80 | £0.80 | 0 |
Sep 29, 2023 | £0.80 | £0.80 | £0.80 | £0.80 | 120 000 |
Sep 28, 2023 | £0.739 | £0.750 | £0.706 | £0.750 | 483 058 |
Sep 27, 2023 | £0.750 | £0.750 | £0.700 | £0.725 | 147 049 |
Sep 26, 2023 | £0.713 | £0.748 | £0.700 | £0.740 | 3 160 401 |
Sep 25, 2023 | £0.713 | £0.750 | £0.700 | £0.713 | 92 434 |
Sep 22, 2023 | £0.725 | £0.80 | £0.718 | £0.750 | 97 622 |
Sep 21, 2023 | £0.775 | £0.80 | £0.750 | £0.750 | 1 483 769 |
Sep 20, 2023 | £0.750 | £0.80 | £0.700 | £0.775 | 952 244 |
Sep 19, 2023 | £0.725 | £0.750 | £0.700 | £0.750 | 1 945 696 |
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.