XLON:BIRG
Bank of Ireland Group Plc Stock Price (Quote)
£10.50
-0.130 (-1.22%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £9.60 | £10.80 | Friday, 24th May 2024 BIRG.L stock ended at £10.50. This is 1.22% less than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 1.53% from a day low at £10.48 to a day high of £10.64. |
90 days | £7.86 | £10.80 | |
52 weeks | £7.74 | £10.80 |
Date | Open | High | Low | Close | Volume |
Jun 04, 2018 | £7.43 | £7.48 | £7.37 | £7.46 | 598 754 |
Jun 01, 2018 | £7.15 | £7.35 | £7.15 | £7.28 | 322 081 |
May 31, 2018 | £7.42 | £7.61 | £7.07 | £7.12 | 769 437 |
May 30, 2018 | £7.35 | £7.47 | £7.30 | £7.38 | 489 165 |
May 29, 2018 | £7.45 | £7.55 | £7.23 | £7.29 | 556 454 |
May 25, 2018 | £7.41 | £7.48 | £7.36 | £7.44 | 929 747 |
May 24, 2018 | £7.44 | £7.45 | £7.33 | £7.37 | 180 491 |
May 23, 2018 | £7.27 | £7.45 | £7.27 | £7.38 | 179 360 |
May 22, 2018 | £7.31 | £7.44 | £7.30 | £7.44 | 188 949 |
May 21, 2018 | £7.40 | £7.40 | £7.30 | £7.31 | 72 657 |
May 18, 2018 | £7.33 | £7.40 | £7.27 | £7.32 | 281 798 |
May 17, 2018 | £7.35 | £7.43 | £7.35 | £7.39 | 151 160 |
May 16, 2018 | £7.40 | £7.47 | £7.31 | £7.31 | 2 491 648 |
May 15, 2018 | £7.48 | £7.50 | £7.42 | £7.46 | 142 534 |
May 14, 2018 | £7.40 | £7.50 | £7.40 | £7.45 | 118 156 |
May 11, 2018 | £7.46 | £7.52 | £7.44 | £7.48 | 123 366 |
May 10, 2018 | £7.45 | £7.59 | £7.42 | £7.50 | 311 504 |
May 09, 2018 | £7.32 | £7.50 | £7.29 | £7.46 | 168 797 |
May 08, 2018 | £7.03 | £7.31 | £7.03 | £7.28 | 271 591 |
May 07, 2018 | £7.13 | £7.13 | £7.13 | £7.13 | 0 |
May 04, 2018 | £7.14 | £7.22 | £7.00 | £7.13 | 264 195 |
May 03, 2018 | £7.34 | £7.38 | £7.14 | £7.19 | 237 106 |
May 02, 2018 | £7.40 | £7.52 | £7.32 | £7.38 | 931 906 |
May 01, 2018 | £7.45 | £7.50 | £7.42 | £7.42 | 109 763 |
Apr 30, 2018 | £7.40 | £7.52 | £7.40 | £7.41 | 285 791 |
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 BIRG.L stock historical prices to predict future price movements?
Trend Analysis: Examine the BIRG.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 BIRG.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.