XLON:BKY
Berkeley Energia Limited Stock Price (Quote)
£22.00
+0 (+0%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £17.50 | £23.75 | Friday, 31st May 2024 BKY.L stock ended at £22.00. During the day the stock fluctuated 0% from a day low at £22.00 to a day high of £22.00. |
90 days | £13.33 | £23.75 | |
52 weeks | £13.33 | £40.80 |
Historical Berkeley Energia Limited prices
Date | Open | High | Low | Close | Volume |
Mar 01, 2016 | £23.50 | £23.50 | £23.50 | £23.50 | 0 |
Feb 29, 2016 | £23.25 | £23.25 | £23.25 | £23.25 | 5 006 200 |
Feb 26, 2016 | £23.25 | £23.25 | £23.25 | £23.25 | 117 000 |
Feb 25, 2016 | £23.25 | £23.25 | £23.25 | £23.25 | 11 000 |
Feb 24, 2016 | £23.50 | £23.50 | £23.25 | £23.25 | 119 983 |
Feb 23, 2016 | £23.50 | £23.50 | £23.50 | £23.50 | 27 090 |
Feb 22, 2016 | £23.25 | £23.25 | £23.25 | £23.25 | 11 000 |
Feb 19, 2016 | £23.25 | £23.25 | £23.25 | £23.25 | 20 580 |
Feb 18, 2016 | £22.75 | £23.25 | £22.75 | £23.25 | 288 887 |
Feb 17, 2016 | £22.50 | £22.50 | £22.50 | £22.50 | 204 474 |
Feb 16, 2016 | £22.50 | £22.50 | £22.50 | £22.50 | 149 552 |
Feb 15, 2016 | £22.75 | £22.75 | £22.25 | £22.25 | 71 495 |
Feb 12, 2016 | £22.75 | £22.75 | £22.75 | £22.75 | 114 902 |
Feb 11, 2016 | £23.00 | £23.00 | £22.75 | £22.75 | 22 765 |
Feb 10, 2016 | £23.50 | £23.50 | £23.00 | £23.00 | 26 990 |
Feb 09, 2016 | £23.75 | £23.75 | £23.50 | £23.50 | 576 042 |
Feb 08, 2016 | £23.75 | £23.75 | £23.75 | £23.75 | 398 668 |
Feb 05, 2016 | £23.75 | £23.75 | £23.75 | £23.75 | 140 054 |
Feb 04, 2016 | £23.75 | £23.75 | £23.75 | £23.75 | 376 433 |
Feb 03, 2016 | £24.00 | £24.00 | £23.75 | £23.75 | 503 832 |
Feb 02, 2016 | £24.00 | £24.00 | £24.00 | £24.00 | 1 416 |
Feb 01, 2016 | £24.75 | £24.75 | £24.00 | £24.00 | 460 725 |
Jan 29, 2016 | £25.13 | £25.13 | £24.75 | £24.75 | 311 482 |
Jan 28, 2016 | £25.25 | £25.25 | £25.00 | £25.00 | 324 409 |
Jan 27, 2016 | £24.25 | £25.25 | £24.25 | £25.25 | 152 965 |
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 BKY.L stock historical prices to predict future price movements?
Trend Analysis: Examine the BKY.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 BKY.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.