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 |
Jun 20, 2016 | £55.00 | £55.25 | £52.00 | £52.75 | 332 186 |
Jun 17, 2016 | £51.75 | £55.25 | £51.75 | £55.25 | 214 083 |
Jun 16, 2016 | £54.50 | £54.75 | £51.00 | £51.25 | 272 575 |
Jun 15, 2016 | £56.00 | £56.25 | £53.50 | £53.50 | 137 612 |
Jun 14, 2016 | £57.00 | £57.50 | £55.50 | £55.50 | 179 953 |
Jun 13, 2016 | £58.50 | £58.50 | £57.00 | £57.00 | 202 568 |
Jun 10, 2016 | £58.00 | £58.25 | £57.75 | £58.25 | 87 883 |
Jun 09, 2016 | £56.75 | £59.00 | £56.75 | £58.00 | 540 893 |
Jun 08, 2016 | £52.25 | £58.00 | £52.25 | £57.00 | 256 918 |
Jun 07, 2016 | £56.00 | £56.00 | £52.00 | £52.50 | 228 957 |
Jun 06, 2016 | £53.50 | £54.50 | £52.75 | £52.75 | 139 641 |
Jun 03, 2016 | £53.75 | £55.50 | £53.25 | £54.50 | 44 272 |
Jun 02, 2016 | £52.00 | £54.00 | £52.00 | £53.75 | 125 152 |
Jun 01, 2016 | £52.00 | £53.50 | £52.00 | £53.50 | 61 440 |
May 31, 2016 | £55.25 | £60.00 | £50.00 | £54.00 | 732 294 |
May 27, 2016 | £55.25 | £55.25 | £55.25 | £55.25 | 0 |
May 26, 2016 | £47.00 | £51.75 | £46.50 | £50.00 | 654 272 |
May 25, 2016 | £44.50 | £47.00 | £43.00 | £46.50 | 703 144 |
May 24, 2016 | £44.75 | £45.25 | £44.25 | £44.25 | 223 380 |
May 23, 2016 | £45.25 | £45.50 | £44.25 | £44.25 | 346 947 |
May 20, 2016 | £45.25 | £45.25 | £44.25 | £44.50 | 307 288 |
May 19, 2016 | £44.50 | £44.50 | £44.25 | £44.25 | 365 113 |
May 18, 2016 | £44.50 | £45.00 | £44.25 | £44.25 | 1 174 963 |
May 17, 2016 | £45.00 | £45.50 | £44.25 | £44.25 | 264 574 |
May 16, 2016 | £46.50 | £46.50 | £44.25 | £44.75 | 269 212 |
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.