XLON:INL
Delisted
Inland Homes Plc Stock Price (Quote)
£8.50
+0 (+0%)
At Close: Jun 30, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £8.50 | £8.50 | Friday, 30th Jun 2023 INL.L stock ended at £8.50. During the day the stock fluctuated 0% from a day low at £8.50 to a day high of £8.50. |
90 days | £8.50 | £8.50 | |
52 weeks | £4.75 | £39.40 |
Date | Open | High | Low | Close | Volume |
May 04, 2016 | £77.63 | £77.63 | £77.50 | £77.50 | 57 045 |
May 03, 2016 | £77.88 | £77.88 | £77.63 | £77.63 | 578 310 |
Apr 29, 2016 | £77.88 | £77.88 | £77.63 | £77.88 | 293 940 |
Apr 28, 2016 | £77.88 | £77.88 | £77.88 | £77.88 | 123 511 |
Apr 27, 2016 | £77.38 | £78.25 | £77.38 | £77.88 | 534 921 |
Apr 26, 2016 | £77.75 | £77.75 | £76.38 | £77.38 | 933 305 |
Apr 25, 2016 | £77.63 | £78.25 | £77.63 | £77.75 | 893 531 |
Apr 22, 2016 | £77.50 | £77.63 | £77.50 | £77.63 | 340 712 |
Apr 21, 2016 | £77.50 | £77.50 | £77.50 | £77.50 | 360 031 |
Apr 20, 2016 | £77.50 | £77.50 | £77.38 | £77.50 | 1 307 928 |
Apr 19, 2016 | £78.00 | £78.25 | £77.38 | £77.50 | 235 061 |
Apr 18, 2016 | £76.75 | £78.50 | £76.50 | £78.50 | 851 564 |
Apr 15, 2016 | £78.00 | £78.13 | £76.25 | £76.75 | 765 740 |
Apr 14, 2016 | £78.50 | £78.50 | £77.50 | £78.13 | 427 013 |
Apr 13, 2016 | £78.13 | £79.00 | £78.13 | £78.63 | 520 366 |
Apr 12, 2016 | £79.63 | £79.63 | £77.75 | £78.13 | 554 289 |
Apr 11, 2016 | £78.88 | £79.63 | £78.25 | £79.63 | 740 647 |
Apr 08, 2016 | £78.50 | £79.38 | £78.50 | £79.00 | 742 848 |
Apr 07, 2016 | £79.63 | £79.63 | £78.13 | £78.13 | 490 867 |
Apr 06, 2016 | £79.88 | £80.00 | £79.63 | £79.63 | 339 151 |
Apr 05, 2016 | £79.88 | £80.00 | £79.88 | £79.88 | 265 743 |
Apr 04, 2016 | £80.50 | £80.50 | £79.88 | £79.88 | 544 073 |
Apr 01, 2016 | £80.88 | £80.88 | £80.50 | £80.50 | 313 530 |
Mar 31, 2016 | £81.75 | £81.75 | £80.88 | £80.88 | 168 860 |
Mar 30, 2016 | £82.75 | £82.75 | £81.63 | £81.75 | 420 806 |
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 INL.L stock historical prices to predict future price movements?
Trend Analysis: Examine the INL.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 INL.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.