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 |
Jun 05, 2023 | £46.43 | £47.50 | £45.95 | £46.85 | 127 254 |
Jun 02, 2023 | £45.05 | £46.18 | £45.00 | £45.60 | 291 583 |
Jun 01, 2023 | £44.00 | £44.80 | £43.69 | £44.40 | 241 846 |
May 31, 2023 | £43.90 | £44.65 | £42.90 | £43.25 | 395 321 |
May 30, 2023 | £46.15 | £46.15 | £43.20 | £44.95 | 238 833 |
May 26, 2023 | £46.45 | £46.45 | £43.15 | £44.20 | 2 196 081 |
May 25, 2023 | £47.45 | £48.30 | £45.97 | £48.30 | 356 173 |
May 24, 2023 | £45.50 | £47.35 | £44.45 | £47.30 | 342 394 |
May 23, 2023 | £47.55 | £47.55 | £46.15 | £46.15 | 313 775 |
May 22, 2023 | £47.45 | £47.45 | £45.65 | £46.50 | 566 429 |
May 19, 2023 | £45.55 | £46.60 | £45.50 | £45.50 | 54 972 |
May 18, 2023 | £45.50 | £46.25 | £45.50 | £46.15 | 113 166 |
May 17, 2023 | £46.50 | £46.50 | £46.50 | £46.50 | 0 |
May 16, 2023 | £45.60 | £47.24 | £44.65 | £46.50 | 170 504 |
May 15, 2023 | £47.85 | £47.85 | £45.65 | £46.45 | 140 725 |
May 12, 2023 | £45.67 | £47.05 | £44.50 | £46.45 | 196 016 |
May 11, 2023 | £48.55 | £48.55 | £44.34 | £45.55 | 434 916 |
May 10, 2023 | £50.30 | £50.30 | £46.70 | £47.50 | 401 044 |
May 09, 2023 | £50.80 | £50.80 | £48.95 | £48.95 | 163 168 |
May 08, 2023 | £48.90 | £50.00 | £47.75 | £49.20 | 104 521 |
May 05, 2023 | £48.90 | £50.00 | £47.75 | £49.20 | 104 521 |
May 04, 2023 | £50.00 | £51.50 | £48.65 | £49.00 | 237 187 |
May 03, 2023 | £50.50 | £51.10 | £50.10 | £50.80 | 99 935 |
May 02, 2023 | £49.90 | £49.90 | £49.90 | £49.90 | 0 |
Apr 28, 2023 | £49.24 | £50.70 | £49.20 | £50.20 | 105 133 |
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.