XLON:SOU
Sound Energy Plc Stock Price (Quote)
£0.80
-0.0450 (-5.33%)
At Close: May 13, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.670 | £1.00 | Monday, 13th May 2024 SOU.L stock ended at £0.80. This is 5.33% less than the trading day before Friday, 10th May 2024. During the day the stock fluctuated 11.26% from a day low at £0.764 to a day high of £0.85. |
90 days | £0.600 | £1.15 | |
52 weeks | £0.564 | £2.10 |
Date | Open | High | Low | Close | Volume |
May 13, 2024 | £0.85 | £0.85 | £0.764 | £0.80 | 423 565 |
May 10, 2024 | £0.90 | £0.90 | £0.752 | £0.85 | 518 594 |
May 09, 2024 | £0.772 | £0.772 | £0.772 | £0.772 | 0 |
May 08, 2024 | £0.90 | £0.90 | £0.702 | £0.772 | 4 540 596 |
May 07, 2024 | £0.700 | £0.90 | £0.700 | £0.85 | 3 410 515 |
May 03, 2024 | £0.86 | £0.89 | £0.773 | £0.80 | 1 809 282 |
May 02, 2024 | £0.797 | £0.90 | £0.782 | £0.85 | 7 019 123 |
May 01, 2024 | £0.792 | £0.84 | £0.727 | £0.776 | 4 033 948 |
Apr 30, 2024 | £0.84 | £0.87 | £0.703 | £0.767 | 5 374 831 |
Apr 29, 2024 | £0.80 | £0.87 | £0.770 | £0.770 | 9 965 535 |
Apr 26, 2024 | £0.783 | £0.84 | £0.759 | £0.82 | 760 400 |
Apr 25, 2024 | £0.85 | £0.85 | £0.777 | £0.780 | 911 409 |
Apr 24, 2024 | £0.758 | £0.88 | £0.670 | £0.775 | 16 751 020 |
Apr 23, 2024 | £0.80 | £0.86 | £0.778 | £0.82 | 2 709 449 |
Apr 22, 2024 | £0.86 | £0.86 | £0.82 | £0.82 | 129 773 |
Apr 19, 2024 | £0.82 | £0.88 | £0.82 | £0.84 | 233 950 |
Apr 18, 2024 | £0.780 | £0.88 | £0.760 | £0.87 | 5 272 564 |
Apr 17, 2024 | £0.81 | £0.84 | £0.776 | £0.778 | 1 864 729 |
Apr 16, 2024 | £0.83 | £0.85 | £0.80 | £0.81 | 3 124 137 |
Apr 15, 2024 | £1.00 | £1.00 | £0.81 | £0.82 | 1 683 161 |
Apr 12, 2024 | £0.90 | £0.94 | £0.81 | £0.88 | 2 636 288 |
Apr 11, 2024 | £0.94 | £1.00 | £0.92 | £0.92 | 2 604 697 |
Apr 10, 2024 | £0.96 | £1.00 | £0.90 | £0.94 | 2 392 374 |
Apr 09, 2024 | £1.00 | £1.10 | £0.94 | £0.96 | 7 784 414 |
Apr 08, 2024 | £1.10 | £1.10 | £0.90 | £0.92 | 5 144 995 |
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 SOU.L stock historical prices to predict future price movements?
Trend Analysis: Examine the SOU.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 SOU.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.