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 |
Dec 14, 2016 | £12.00 | £12.00 | £11.75 | £11.75 | 171 954 |
Dec 13, 2016 | £11.50 | £12.25 | £11.50 | £11.75 | 592 464 |
Dec 12, 2016 | £12.00 | £12.00 | £11.50 | £11.88 | 474 121 |
Dec 09, 2016 | £12.25 | £12.25 | £12.00 | £12.00 | 354 717 |
Dec 08, 2016 | £11.75 | £12.00 | £11.50 | £11.75 | 794 821 |
Dec 07, 2016 | £12.00 | £12.00 | £12.00 | £12.00 | 28 124 |
Dec 06, 2016 | £12.50 | £12.50 | £12.13 | £12.13 | 451 925 |
Dec 05, 2016 | £12.25 | £12.25 | £12.25 | £12.25 | 160 537 |
Dec 02, 2016 | £12.00 | £12.50 | £12.00 | £12.25 | 508 321 |
Dec 01, 2016 | £12.00 | £12.00 | £11.75 | £11.88 | 195 554 |
Nov 30, 2016 | £11.50 | £12.00 | £11.25 | £11.63 | 542 196 |
Nov 29, 2016 | £11.75 | £11.88 | £11.75 | £11.88 | 311 495 |
Nov 28, 2016 | £12.00 | £12.38 | £12.00 | £12.38 | 200 900 |
Nov 25, 2016 | £12.00 | £12.00 | £11.75 | £11.75 | 392 773 |
Nov 24, 2016 | £12.25 | £12.25 | £12.25 | £12.25 | 542 923 |
Nov 23, 2016 | £11.75 | £12.50 | £11.75 | £12.25 | 869 472 |
Nov 22, 2016 | £12.13 | £12.13 | £12.13 | £12.13 | 273 228 |
Nov 21, 2016 | £11.75 | £12.50 | £11.75 | £12.13 | 333 376 |
Nov 18, 2016 | £12.00 | £12.00 | £11.75 | £11.75 | 355 865 |
Nov 17, 2016 | £12.00 | £12.25 | £12.00 | £12.00 | 452 209 |
Nov 16, 2016 | £11.75 | £12.75 | £11.25 | £12.13 | 1 044 063 |
Nov 15, 2016 | £12.25 | £14.50 | £12.00 | £12.50 | 4 755 818 |
Nov 14, 2016 | £10.75 | £11.75 | £10.75 | £11.50 | 586 676 |
Nov 11, 2016 | £11.75 | £12.25 | £11.75 | £11.75 | 591 303 |
Nov 10, 2016 | £12.50 | £12.50 | £11.25 | £11.88 | 489 157 |
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.