XLON:OMU
Old Mutual Ltd. Stock Price (Quote)
£48.35
+0.150 (+0.311%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £42.10 | £49.70 | Thursday, 23rd May 2024 OMU.L stock ended at £48.35. This is 0.311% more than the trading day before Wednesday, 22nd May 2024. During the day the stock fluctuated 3.20% from a day low at £46.85 to a day high of £48.35. |
90 days | £41.55 | £54.90 | |
52 weeks | £41.55 | £58.30 |
Date | Open | High | Low | Close | Volume |
Jan 05, 2022 | £63.30 | £63.93 | £62.90 | £63.45 | 520 023 |
Jan 04, 2022 | £62.40 | £63.94 | £62.40 | £63.10 | 386 696 |
Dec 31, 2021 | £60.65 | £61.34 | £60.15 | £60.95 | 242 549 |
Dec 30, 2021 | £61.60 | £61.60 | £60.00 | £60.65 | 823 569 |
Dec 29, 2021 | £61.00 | £61.65 | £60.00 | £60.00 | 591 052 |
Dec 24, 2021 | £60.55 | £60.94 | £59.15 | £59.15 | 82 054 |
Dec 23, 2021 | £60.50 | £60.80 | £59.80 | £60.80 | 1 831 198 |
Dec 22, 2021 | £58.25 | £59.70 | £58.25 | £59.50 | 235 372 |
Dec 21, 2021 | £59.60 | £60.20 | £59.20 | £59.70 | 322 955 |
Dec 20, 2021 | £59.18 | £59.45 | £58.25 | £58.40 | 171 528 |
Dec 17, 2021 | £59.00 | £60.35 | £58.89 | £60.35 | 1 163 314 |
Dec 16, 2021 | £58.25 | £59.00 | £58.00 | £58.00 | 104 480 |
Dec 15, 2021 | £56.30 | £57.45 | £56.05 | £57.45 | 348 981 |
Dec 14, 2021 | £55.85 | £56.60 | £55.55 | £56.60 | 281 115 |
Dec 13, 2021 | £57.90 | £57.90 | £55.30 | £55.30 | 562 732 |
Dec 10, 2021 | £58.50 | £58.50 | £54.75 | £54.95 | 1 571 119 |
Dec 09, 2021 | £59.21 | £59.30 | £57.65 | £58.00 | 400 824 |
Dec 08, 2021 | £58.05 | £59.00 | £55.75 | £58.55 | 692 337 |
Dec 07, 2021 | £59.50 | £59.50 | £57.32 | £58.75 | 1 223 259 |
Dec 06, 2021 | £59.00 | £59.05 | £57.75 | £58.05 | 300 522 |
Dec 03, 2021 | £58.33 | £59.65 | £57.70 | £58.15 | 1 517 542 |
Dec 02, 2021 | £59.85 | £59.85 | £57.95 | £58.10 | 730 647 |
Dec 01, 2021 | £58.12 | £58.75 | £57.20 | £58.75 | 889 613 |
Nov 30, 2021 | £58.00 | £58.05 | £55.86 | £56.60 | 980 140 |
Nov 29, 2021 | £57.40 | £59.05 | £57.25 | £57.40 | 1 614 892 |
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.