XLON:IQE
IQE plc Stock Price (Quote)
£33.35
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £26.95 | £37.00 | Thursday, 30th May 2024 IQE.L stock ended at £33.35. During the day the stock fluctuated 0% from a day low at £33.35 to a day high of £33.35. |
90 days | £18.10 | £37.00 | |
52 weeks | £12.27 | £37.00 |
Historical IQE plc prices
Date | Open | High | Low | Close | Volume |
Jun 05, 2023 | £22.95 | £22.95 | £21.40 | £21.65 | 1 914 862 |
Jun 02, 2023 | £22.70 | £22.70 | £20.25 | £21.50 | 2 180 096 |
Jun 01, 2023 | £21.10 | £22.00 | £20.55 | £20.65 | 3 196 520 |
May 31, 2023 | £24.95 | £24.95 | £22.15 | £22.20 | 3 061 258 |
May 30, 2023 | £23.25 | £24.90 | £22.75 | £22.85 | 2 994 450 |
May 26, 2023 | £24.95 | £23.50 | £23.50 | £23.50 | 1 920 403 |
May 25, 2023 | £22.77 | £24.75 | £22.60 | £24.10 | 2 731 948 |
May 24, 2023 | £23.70 | £23.95 | £22.55 | £23.00 | 1 872 097 |
May 23, 2023 | £24.45 | £24.50 | £23.15 | £23.50 | 2 954 094 |
May 22, 2023 | £23.75 | £24.50 | £23.10 | £24.30 | 3 379 673 |
May 19, 2023 | £21.00 | £24.56 | £21.00 | £23.50 | 9 380 600 |
May 18, 2023 | £20.70 | £21.50 | £19.75 | £20.75 | 16 204 802 |
May 17, 2023 | £23.75 | £23.75 | £23.75 | £23.75 | 0 |
May 16, 2023 | £24.55 | £24.59 | £23.60 | £23.75 | 952 337 |
May 15, 2023 | £23.80 | £24.52 | £23.62 | £23.90 | 2 371 271 |
May 12, 2023 | £24.30 | £25.55 | £23.25 | £23.80 | 2 221 889 |
May 11, 2023 | £23.98 | £24.67 | £23.20 | £23.75 | 1 806 292 |
May 10, 2023 | £25.85 | £25.85 | £23.80 | £24.10 | 2 524 965 |
May 09, 2023 | £27.30 | £27.70 | £24.35 | £25.15 | 1 242 798 |
May 05, 2023 | £24.98 | £25.32 | £24.38 | £25.20 | 1 151 941 |
May 04, 2023 | £24.65 | £25.32 | £23.90 | £24.35 | 1 152 285 |
May 03, 2023 | £24.20 | £26.35 | £23.80 | £24.65 | 2 428 439 |
May 02, 2023 | £24.70 | £24.70 | £24.70 | £24.70 | 0 |
Apr 28, 2023 | £24.60 | £25.45 | £24.00 | £24.70 | 1 816 434 |
Apr 27, 2023 | £25.65 | £25.95 | £24.60 | £24.75 | 1 474 411 |
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 IQE.L stock historical prices to predict future price movements?
Trend Analysis: Examine the IQE.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 IQE.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.