XLON:AEX
Aminex Plc Stock Price (Quote)
£1.60
+0 (+0%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £1.00 | £1.70 | Monday, 20th May 2024 AEX.L stock ended at £1.60. During the day the stock fluctuated 0% from a day low at £1.60 to a day high of £1.60. |
90 days | £0.700 | £1.70 | |
52 weeks | £0.700 | £1.70 |
Date | Open | High | Low | Close | Volume |
Dec 22, 2023 | £0.80 | £0.81 | £0.760 | £0.80 | 1 180 343 |
Dec 21, 2023 | £0.80 | £0.80 | £0.80 | £0.80 | 0 |
Dec 20, 2023 | £0.80 | £0.89 | £0.753 | £0.80 | 7 820 208 |
Dec 19, 2023 | £0.90 | £0.95 | £0.80 | £0.85 | 3 452 815 |
Dec 18, 2023 | £0.89 | £0.95 | £0.85 | £0.90 | 1 584 949 |
Dec 15, 2023 | £0.88 | £0.95 | £0.85 | £0.89 | 1 874 442 |
Dec 14, 2023 | £0.92 | £0.93 | £0.82 | £0.90 | 1 192 007 |
Dec 13, 2023 | £0.95 | £0.95 | £0.85 | £0.87 | 141 831 |
Dec 12, 2023 | £0.89 | £0.92 | £0.86 | £0.90 | 2 874 083 |
Dec 11, 2023 | £0.93 | £0.93 | £0.85 | £0.88 | 4 938 155 |
Dec 08, 2023 | £0.90 | £0.95 | £0.85 | £0.90 | 1 029 616 |
Dec 07, 2023 | £0.88 | £0.95 | £0.85 | £0.90 | 2 921 173 |
Dec 06, 2023 | £0.82 | £0.90 | £0.82 | £0.90 | 4 641 307 |
Dec 05, 2023 | £0.86 | £0.88 | £0.81 | £0.85 | 2 816 873 |
Dec 04, 2023 | £0.95 | £0.95 | £0.86 | £0.88 | 2 648 397 |
Dec 01, 2023 | £0.92 | £0.93 | £0.87 | £0.90 | 2 237 141 |
Nov 30, 2023 | £0.92 | £0.93 | £0.85 | £0.92 | 2 392 945 |
Nov 29, 2023 | £0.96 | £1.00 | £0.86 | £0.90 | 11 199 191 |
Nov 28, 2023 | £0.98 | £1.05 | £0.90 | £0.95 | 3 403 075 |
Nov 27, 2023 | £0.90 | £1.05 | £0.90 | £1.00 | 3 081 641 |
Nov 24, 2023 | £0.97 | £1.00 | £0.93 | £0.98 | 9 222 322 |
Nov 23, 2023 | £0.98 | £1.03 | £0.96 | £1.03 | 2 399 337 |
Nov 22, 2023 | £1.02 | £1.10 | £0.97 | £1.03 | 2 171 001 |
Nov 21, 2023 | £0.95 | £1.05 | £0.95 | £1.00 | 5 454 806 |
Nov 20, 2023 | £1.04 | £1.05 | £0.95 | £1.00 | 4 229 538 |
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 AEX.L stock historical prices to predict future price movements?
Trend Analysis: Examine the AEX.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 AEX.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.