XLON:OMU
Old Mutual Ltd. Stock Price (Quote)
£47.65
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £43.97 | £49.70 | Thursday, 30th May 2024 OMU.L stock ended at £47.65. During the day the stock fluctuated 0% from a day low at £47.65 to a day high of £47.65. |
90 days | £41.55 | £51.98 | |
52 weeks | £41.55 | £58.30 |
Historical Old Mutual Ltd. prices
Date | Open | High | Low | Close | Volume |
Apr 28, 2022 | £61.10 | £62.89 | £61.10 | £62.10 | 98 559 |
Apr 27, 2022 | £70.60 | £81.04 | £60.00 | £60.90 | 133 200 |
Apr 26, 2022 | £71.20 | £71.20 | £58.70 | £61.40 | 162 502 |
Apr 25, 2022 | £54.40 | £61.30 | £54.40 | £60.30 | 370 378 |
Apr 22, 2022 | £66.30 | £66.30 | £60.75 | £62.10 | 211 182 |
Apr 21, 2022 | £61.30 | £62.20 | £61.00 | £62.20 | 433 621 |
Apr 20, 2022 | £63.08 | £65.20 | £61.10 | £61.80 | 283 774 |
Apr 19, 2022 | £64.14 | £65.70 | £62.80 | £63.90 | 453 616 |
Apr 14, 2022 | £67.20 | £67.20 | £63.10 | £64.20 | 498 908 |
Apr 13, 2022 | £71.40 | £71.50 | £68.60 | £69.80 | 1 118 205 |
Apr 12, 2022 | £72.52 | £72.80 | £70.20 | £71.70 | 312 151 |
Apr 11, 2022 | £73.60 | £74.00 | £69.90 | £71.60 | 206 998 |
Apr 08, 2022 | £71.00 | £74.10 | £71.00 | £72.00 | 271 986 |
Apr 07, 2022 | £73.30 | £76.10 | £70.20 | £70.30 | 269 378 |
Apr 06, 2022 | £76.20 | £76.30 | £67.90 | £74.10 | 222 477 |
Apr 05, 2022 | £74.00 | £74.00 | £71.20 | £72.00 | 209 004 |
Apr 04, 2022 | £76.10 | £76.10 | £71.80 | £71.80 | 84 625 |
Apr 01, 2022 | £72.50 | £73.50 | £71.20 | £72.50 | 246 579 |
Mar 31, 2022 | £74.00 | £74.98 | £70.75 | £70.75 | 365 832 |
Mar 30, 2022 | £73.60 | £74.40 | £72.85 | £73.00 | 215 432 |
Mar 29, 2022 | £68.70 | £73.65 | £68.40 | £72.10 | 967 134 |
Mar 28, 2022 | £68.95 | £69.80 | £66.25 | £69.20 | 87 002 |
Mar 25, 2022 | £69.95 | £69.95 | £68.25 | £68.40 | 826 343 |
Mar 24, 2022 | £68.45 | £70.05 | £68.25 | £70.00 | 271 532 |
Mar 23, 2022 | £67.50 | £68.50 | £67.50 | £68.50 | 155 445 |
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 OMU.L stock historical prices to predict future price movements?
Trend Analysis: Examine the OMU.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 OMU.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.