XLON:IQAI
IQ-AI Limited Stock Price (Quote)
£1.48
+0.130 (+9.63%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £1.20 | £2.00 | Friday, 17th May 2024 IQAI.L stock ended at £1.48. This is 9.63% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 23.08% from a day low at £1.30 to a day high of £1.60. |
90 days | £1.20 | £2.50 | |
52 weeks | £1.20 | £5.80 |
Date | Open | High | Low | Close | Volume |
Apr 11, 2024 | £1.57 | £1.60 | £1.40 | £1.50 | 368 954 |
Apr 10, 2024 | £1.58 | £1.58 | £1.40 | £1.50 | 541 480 |
Apr 09, 2024 | £1.52 | £1.52 | £1.51 | £1.51 | 404 478 |
Apr 08, 2024 | £1.53 | £1.58 | £1.52 | £1.58 | 329 574 |
Apr 05, 2024 | £1.50 | £1.60 | £1.30 | £1.55 | 1 631 130 |
Apr 04, 2024 | £1.48 | £1.50 | £1.30 | £1.40 | 140 499 |
Apr 03, 2024 | £1.45 | £1.50 | £1.40 | £1.40 | 397 829 |
Apr 02, 2024 | £1.35 | £1.35 | £1.35 | £1.35 | 0 |
Mar 28, 2024 | £1.30 | £1.40 | £1.27 | £1.35 | 520 145 |
Mar 27, 2024 | £1.37 | £1.39 | £1.32 | £1.39 | 646 359 |
Mar 26, 2024 | £1.40 | £1.50 | £1.31 | £1.35 | 2 134 483 |
Mar 25, 2024 | £1.64 | £1.64 | £1.33 | £1.45 | 2 035 833 |
Mar 22, 2024 | £1.60 | £1.70 | £1.50 | £1.70 | 502 236 |
Mar 21, 2024 | £1.62 | £1.73 | £1.60 | £1.73 | 989 785 |
Mar 20, 2024 | £1.62 | £1.65 | £1.62 | £1.65 | 331 235 |
Mar 19, 2024 | £1.70 | £1.73 | £1.60 | £1.65 | 148 530 |
Mar 18, 2024 | £1.67 | £1.67 | £1.62 | £1.65 | 73 928 |
Mar 15, 2024 | £1.65 | £1.70 | £1.55 | £1.65 | 1 020 411 |
Mar 14, 2024 | £1.61 | £1.70 | £1.51 | £1.60 | 481 600 |
Mar 13, 2024 | £1.70 | £1.80 | £1.50 | £1.65 | 2 263 316 |
Mar 12, 2024 | £1.67 | £1.90 | £1.67 | £1.80 | 267 484 |
Mar 11, 2024 | £1.70 | £1.81 | £1.70 | £1.80 | 143 458 |
Mar 08, 2024 | £1.72 | £1.94 | £1.72 | £1.94 | 561 962 |
Mar 07, 2024 | £1.80 | £1.80 | £1.80 | £1.80 | 0 |
Mar 06, 2024 | £1.80 | £1.80 | £1.70 | £1.80 | 60 895 |
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.