XLON:BHRD
Delisted
Be Heard Group Plc Stock Price (Quote)
£0.0048
+0 (+0%)
At Close: Aug 20, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.0048 | £0.0048 | Thursday, 20th Aug 2020 BHRD.L stock ended at £0.0048. During the day the stock fluctuated 0% from a day low at £0.0048 to a day high of £0.0048. |
90 days | £0.0048 | £0.0048 | |
52 weeks | £0.0015 | £0.0087 |
Date | Open | High | Low | Close | Volume |
Jun 15, 2016 | £3.28 | £3.28 | £3.25 | £3.28 | 994 874 |
Jun 14, 2016 | £3.28 | £3.28 | £3.28 | £3.28 | 174 382 |
Jun 13, 2016 | £3.35 | £3.35 | £3.28 | £3.28 | 143 000 |
Jun 10, 2016 | £3.35 | £3.35 | £3.35 | £3.35 | 100 000 |
Jun 09, 2016 | £3.38 | £3.38 | £3.35 | £3.35 | 1 583 492 |
Jun 08, 2016 | £3.38 | £3.38 | £3.38 | £3.38 | 4 203 000 |
Jun 07, 2016 | £3.35 | £3.38 | £3.35 | £3.38 | 965 581 |
Jun 06, 2016 | £3.35 | £3.35 | £3.35 | £3.35 | 21 243 520 |
Jun 03, 2016 | £3.35 | £3.35 | £3.35 | £3.35 | 234 087 |
Jun 02, 2016 | £3.35 | £3.35 | £3.35 | £3.35 | 263 512 |
Jun 01, 2016 | £3.35 | £3.35 | £3.35 | £3.35 | 1 240 124 |
May 31, 2016 | £3.33 | £3.38 | £3.33 | £3.35 | 2 949 511 |
May 27, 2016 | £3.33 | £3.33 | £3.33 | £3.33 | 0 |
May 26, 2016 | £3.08 | £3.10 | £3.08 | £3.10 | 5 911 819 |
May 25, 2016 | £3.13 | £3.13 | £3.08 | £3.12 | 3 680 662 |
May 24, 2016 | £3.13 | £3.13 | £3.13 | £3.13 | 1 260 258 |
May 23, 2016 | £3.18 | £3.18 | £3.13 | £3.13 | 870 000 |
May 20, 2016 | £3.28 | £3.28 | £3.18 | £3.18 | 607 227 |
May 19, 2016 | £3.28 | £3.28 | £3.28 | £3.28 | 80 000 |
May 18, 2016 | £3.28 | £3.28 | £3.28 | £3.28 | 579 179 |
May 17, 2016 | £3.30 | £3.30 | £3.28 | £3.28 | 2 916 975 |
May 16, 2016 | £3.25 | £3.30 | £3.25 | £3.30 | 669 942 |
May 13, 2016 | £3.28 | £3.28 | £3.25 | £3.25 | 1 563 115 |
May 12, 2016 | £3.10 | £3.28 | £3.10 | £3.28 | 3 646 159 |
May 11, 2016 | £3.00 | £3.10 | £3.00 | £3.10 | 3 517 636 |
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 BHRD.L stock historical prices to predict future price movements?
Trend Analysis: Examine the BHRD.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 BHRD.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.