XLON:GMS
Delisted
GENERAL MOTORS CORP 7.50% SR. NOTES Stock Price (Quote)
£0.0740
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.0740 | £0.0740 | Wednesday, 17th Aug 2022 GMS.L stock ended at £0.0740. During the day the stock fluctuated 0% from a day low at £0.0740 to a day high of £0.0740. |
90 days | £0.0740 | £0.0740 | |
52 weeks | £0.0359 | £0.0870 |
Date | Open | High | Low | Close | Volume |
Oct 04, 2016 | £50.00 | £50.00 | £47.75 | £47.75 | 686 703 |
Oct 03, 2016 | £49.75 | £50.25 | £49.50 | £49.75 | 1 215 752 |
Sep 30, 2016 | £50.00 | £50.25 | £49.00 | £50.25 | 546 879 |
Sep 29, 2016 | £51.00 | £51.00 | £50.00 | £50.00 | 619 316 |
Sep 28, 2016 | £50.00 | £50.00 | £49.00 | £50.00 | 492 427 |
Sep 27, 2016 | £49.75 | £51.00 | £49.25 | £51.00 | 205 325 |
Sep 26, 2016 | £49.50 | £50.50 | £48.50 | £50.00 | 516 579 |
Sep 23, 2016 | £49.75 | £50.25 | £49.25 | £50.00 | 401 848 |
Sep 22, 2016 | £50.00 | £50.25 | £49.75 | £50.25 | 215 730 |
Sep 21, 2016 | £49.75 | £50.50 | £49.75 | £49.75 | 138 002 |
Sep 20, 2016 | £50.00 | £50.50 | £49.25 | £50.00 | 133 707 |
Sep 19, 2016 | £50.00 | £51.00 | £49.00 | £50.00 | 1 579 965 |
Sep 16, 2016 | £51.00 | £52.50 | £50.00 | £50.00 | 162 629 |
Sep 15, 2016 | £49.50 | £52.50 | £49.50 | £51.75 | 300 132 |
Sep 14, 2016 | £50.25 | £50.25 | £49.75 | £50.00 | 376 936 |
Sep 13, 2016 | £51.25 | £52.25 | £49.75 | £50.25 | 181 863 |
Sep 12, 2016 | £51.75 | £52.25 | £51.25 | £52.25 | 264 183 |
Sep 09, 2016 | £50.00 | £53.25 | £50.00 | £52.25 | 423 724 |
Sep 08, 2016 | £48.50 | £51.75 | £48.50 | £51.25 | 250 121 |
Sep 07, 2016 | £47.25 | £49.00 | £47.25 | £49.00 | 266 606 |
Sep 06, 2016 | £48.75 | £48.75 | £47.00 | £47.25 | 344 874 |
Sep 05, 2016 | £49.00 | £49.00 | £46.75 | £47.25 | 255 486 |
Sep 02, 2016 | £47.00 | £49.00 | £46.25 | £46.75 | 438 961 |
Sep 01, 2016 | £47.00 | £47.25 | £45.50 | £46.25 | 458 272 |
Aug 31, 2016 | £44.50 | £48.00 | £44.50 | £45.50 | 1 695 864 |
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 GMS.L stock historical prices to predict future price movements?
Trend Analysis: Examine the GMS.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 GMS.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.