XLON:IQAI
IQ-AI Limited Stock Price (Quote)
£1.50
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £1.20 | £2.00 | Thursday, 30th May 2024 IQAI.L stock ended at £1.50. During the day the stock fluctuated 0% from a day low at £1.50 to a day high of £1.50. |
90 days | £1.20 | £2.01 | |
52 weeks | £1.20 | £5.80 |
Historical IQ-AI Limited prices
Date | Open | High | Low | Close | Volume |
Mar 21, 2022 | £4.25 | £4.37 | £4.15 | £4.25 | 88 491 |
Mar 18, 2022 | £4.25 | £4.25 | £4.13 | £4.25 | 141 397 |
Mar 17, 2022 | £4.25 | £4.39 | £4.11 | £4.25 | 263 284 |
Mar 16, 2022 | £4.45 | £4.53 | £4.00 | £4.25 | 689 441 |
Mar 15, 2022 | £4.45 | £4.45 | £4.25 | £4.45 | 232 841 |
Mar 14, 2022 | £4.45 | £4.60 | £4.45 | £4.45 | 21 479 |
Mar 11, 2022 | £4.65 | £4.70 | £4.30 | £4.45 | 415 926 |
Mar 10, 2022 | £4.25 | £4.70 | £4.20 | £4.45 | 884 781 |
Mar 09, 2022 | £4.25 | £4.50 | £4.15 | £4.25 | 376 507 |
Mar 08, 2022 | £4.13 | £4.38 | £4.02 | £4.25 | 519 742 |
Mar 07, 2022 | £4.25 | £4.25 | £4.00 | £4.13 | 317 188 |
Mar 04, 2022 | £4.25 | £4.50 | £4.05 | £4.25 | 1 273 024 |
Mar 03, 2022 | £4.38 | £4.50 | £4.06 | £4.25 | 865 253 |
Mar 02, 2022 | £4.38 | £4.50 | £4.27 | £4.38 | 347 178 |
Mar 01, 2022 | £4.75 | £4.75 | £4.37 | £4.38 | 799 188 |
Feb 28, 2022 | £4.75 | £4.83 | £4.33 | £4.75 | 1 043 313 |
Feb 25, 2022 | £4.88 | £5.00 | £4.53 | £4.75 | 444 106 |
Feb 24, 2022 | £5.00 | £5.10 | £4.75 | £4.88 | 185 165 |
Feb 23, 2022 | £5.13 | £5.15 | £5.02 | £5.13 | 234 301 |
Feb 22, 2022 | £5.13 | £5.14 | £5.00 | £5.13 | 377 663 |
Feb 21, 2022 | £5.30 | £5.30 | £5.10 | £5.13 | 515 313 |
Feb 18, 2022 | £5.30 | £5.30 | £5.25 | £5.30 | 196 203 |
Feb 17, 2022 | £5.15 | £5.68 | £5.10 | £5.30 | 630 203 |
Feb 16, 2022 | £5.15 | £5.29 | £5.05 | £5.15 | 344 649 |
Feb 15, 2022 | £5.25 | £5.33 | £4.88 | £5.15 | 490 910 |
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 IQAI.L stock historical prices to predict future price movements?
Trend Analysis: Examine the IQAI.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 IQAI.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.