XLON:AAZ
Anglo Asian Mining Stock Price (Quote)
£63.68
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £58.10 | £74.00 | Thursday, 30th May 2024 AAZ.L stock ended at £63.68. During the day the stock fluctuated 0% from a day low at £63.68 to a day high of £63.68. |
90 days | £53.00 | £74.00 | |
52 weeks | £36.00 | £107.00 |
Historical Anglo Asian Mining prices
Date | Open | High | Low | Close | Volume |
May 11, 2016 | £8.50 | £11.38 | £8.50 | £10.75 | 1 661 345 |
May 10, 2016 | £9.25 | £9.25 | £8.50 | £8.50 | 225 948 |
May 09, 2016 | £8.75 | £9.25 | £8.75 | £9.10 | 689 570 |
May 06, 2016 | £8.13 | £8.75 | £8.13 | £8.75 | 420 360 |
May 05, 2016 | £7.63 | £8.13 | £7.50 | £8.13 | 561 860 |
May 04, 2016 | £7.88 | £7.88 | £7.63 | £7.63 | 33 867 |
May 03, 2016 | £7.00 | £8.25 | £7.00 | £7.50 | 675 817 |
Apr 29, 2016 | £7.13 | £7.13 | £7.00 | £7.00 | 187 840 |
Apr 28, 2016 | £7.13 | £7.13 | £7.13 | £7.13 | 175 106 |
Apr 27, 2016 | £7.13 | £7.13 | £7.13 | £7.13 | 239 522 |
Apr 26, 2016 | £7.13 | £7.13 | £7.13 | £7.13 | 38 171 |
Apr 25, 2016 | £7.13 | £7.13 | £7.13 | £7.13 | 135 084 |
Apr 22, 2016 | £7.25 | £7.25 | £7.13 | £7.13 | 135 767 |
Apr 21, 2016 | £6.25 | £7.38 | £6.25 | £7.25 | 679 106 |
Apr 20, 2016 | £6.25 | £6.25 | £6.25 | £6.25 | 183 237 |
Apr 19, 2016 | £6.25 | £6.25 | £6.25 | £6.25 | 229 313 |
Apr 18, 2016 | £6.38 | £6.38 | £6.00 | £6.25 | 142 265 |
Apr 15, 2016 | £6.50 | £6.50 | £6.38 | £6.38 | 107 816 |
Apr 14, 2016 | £5.75 | £6.50 | £5.75 | £6.50 | 246 792 |
Apr 13, 2016 | £5.75 | £5.75 | £5.63 | £5.75 | 1 026 606 |
Apr 12, 2016 | £6.13 | £6.13 | £6.13 | £6.13 | 30 895 |
Apr 11, 2016 | £5.75 | £6.13 | £5.75 | £6.13 | 167 644 |
Apr 08, 2016 | £6.00 | £6.00 | £5.75 | £6.00 | 233 123 |
Apr 07, 2016 | £5.75 | £5.75 | £5.75 | £6.00 | 64 017 |
Apr 06, 2016 | £5.63 | £5.75 | £5.63 | £5.75 | 283 898 |
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 AAZ.L stock historical prices to predict future price movements?
Trend Analysis: Examine the AAZ.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 AAZ.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.