XLON:IGAS
Delisted
IGas Energy Plc Stock Price (Quote)
£14.98
+0 (+0%)
At Close: Sep 22, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £14.98 | £14.98 | Friday, 22nd Sep 2023 IGAS.L stock ended at £14.98. During the day the stock fluctuated 0% from a day low at £14.98 to a day high of £14.98. |
90 days | £14.45 | £15.48 | |
52 weeks | £14.00 | £88.00 |
Date | Open | High | Low | Close | Volume |
Aug 31, 2016 | £18.50 | £18.50 | £17.50 | £17.75 | 459 613 |
Aug 30, 2016 | £17.75 | £17.75 | £16.25 | £17.50 | 183 064 |
Aug 26, 2016 | £18.00 | £18.00 | £18.00 | £18.00 | 0 |
Aug 25, 2016 | £18.25 | £18.25 | £18.00 | £18.00 | 182 349 |
Aug 24, 2016 | £18.25 | £18.50 | £17.50 | £18.25 | 255 125 |
Aug 23, 2016 | £18.50 | £18.50 | £18.00 | £18.00 | 199 783 |
Aug 22, 2016 | £18.00 | £18.50 | £17.25 | £18.00 | 287 724 |
Aug 19, 2016 | £18.00 | £19.00 | £17.75 | £18.50 | 705 815 |
Aug 18, 2016 | £17.00 | £18.25 | £17.00 | £17.75 | 451 207 |
Aug 17, 2016 | £17.00 | £17.50 | £17.00 | £17.00 | 212 430 |
Aug 16, 2016 | £17.00 | £17.50 | £17.00 | £17.25 | 223 193 |
Aug 15, 2016 | £18.00 | £18.00 | £16.75 | £17.13 | 164 939 |
Aug 12, 2016 | £17.00 | £17.00 | £16.00 | £16.50 | 810 040 |
Aug 11, 2016 | £18.00 | £18.00 | £17.00 | £17.00 | 273 258 |
Aug 10, 2016 | £17.75 | £18.00 | £17.50 | £17.75 | 656 144 |
Aug 09, 2016 | £19.00 | £19.25 | £18.25 | £18.25 | 1 858 576 |
Aug 08, 2016 | £15.25 | £21.25 | £15.25 | £17.75 | 7 542 319 |
Aug 05, 2016 | £12.50 | £15.00 | £12.50 | £14.25 | 1 302 143 |
Aug 04, 2016 | £11.25 | £12.75 | £11.00 | £12.50 | 797 848 |
Aug 03, 2016 | £11.00 | £12.00 | £10.75 | £11.00 | 1 011 318 |
Aug 02, 2016 | £12.00 | £12.00 | £12.00 | £12.00 | 583 788 |
Aug 01, 2016 | £11.50 | £12.00 | £11.00 | £11.63 | 329 303 |
Jul 29, 2016 | £10.50 | £11.38 | £10.50 | £11.38 | 617 673 |
Jul 28, 2016 | £12.00 | £12.00 | £10.75 | £10.88 | 247 063 |
Jul 27, 2016 | £11.50 | £11.50 | £11.00 | £11.00 | 222 247 |
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 IGAS.L stock historical prices to predict future price movements?
Trend Analysis: Examine the IGAS.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 IGAS.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.