XLON:ARS
Asiamet Resources Limited Stock Price (Quote)
£1.43
+0.125 (+9.62%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.650 | £1.43 | Friday, 17th May 2024 ARS.L stock ended at £1.43. This is 9.62% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 10.53% from a day low at £1.29 to a day high of £1.43. |
90 days | £0.515 | £1.43 | |
52 weeks | £0.500 | £1.63 |
Date | Open | High | Low | Close | Volume |
Dec 21, 2023 | £0.80 | £0.80 | £0.80 | £0.80 | 0 |
Dec 20, 2023 | £0.772 | £0.85 | £0.711 | £0.80 | 7 234 751 |
Dec 19, 2023 | £0.750 | £0.81 | £0.750 | £0.80 | 3 898 777 |
Dec 18, 2023 | £0.785 | £0.84 | £0.750 | £0.80 | 2 422 530 |
Dec 15, 2023 | £0.780 | £0.84 | £0.750 | £0.750 | 3 306 208 |
Dec 14, 2023 | £0.764 | £0.785 | £0.700 | £0.736 | 11 615 190 |
Dec 13, 2023 | £0.80 | £0.80 | £0.750 | £0.775 | 9 932 752 |
Dec 12, 2023 | £0.83 | £0.84 | £0.80 | £0.83 | 3 969 515 |
Dec 11, 2023 | £0.83 | £0.88 | £0.80 | £0.85 | 111 283 |
Dec 08, 2023 | £0.89 | £0.89 | £0.89 | £0.89 | 112 704 |
Dec 07, 2023 | £0.89 | £0.95 | £0.83 | £0.88 | 788 406 |
Dec 06, 2023 | £0.82 | £0.90 | £0.82 | £0.85 | 3 282 675 |
Dec 05, 2023 | £0.90 | £0.90 | £0.83 | £0.83 | 6 008 027 |
Dec 04, 2023 | £0.86 | £0.88 | £0.85 | £0.88 | 1 369 592 |
Dec 01, 2023 | £0.90 | £0.90 | £0.85 | £0.88 | 582 175 |
Nov 30, 2023 | £0.89 | £0.89 | £0.86 | £0.86 | 654 513 |
Nov 29, 2023 | £0.86 | £0.88 | £0.85 | £0.88 | 1 052 704 |
Nov 28, 2023 | £0.95 | £0.95 | £0.85 | £0.88 | 1 184 808 |
Nov 27, 2023 | £0.87 | £0.93 | £0.85 | £0.90 | 1 394 568 |
Nov 24, 2023 | £0.93 | £0.93 | £0.85 | £0.85 | 163 158 |
Nov 23, 2023 | £0.86 | £0.90 | £0.86 | £0.90 | 999 356 |
Nov 22, 2023 | £0.88 | £0.92 | £0.86 | £0.90 | 738 582 |
Nov 21, 2023 | £0.92 | £0.92 | £0.90 | £0.90 | 97 305 |
Nov 20, 2023 | £0.94 | £0.94 | £0.85 | £0.90 | 2 763 152 |
Nov 17, 2023 | £0.94 | £0.94 | £0.88 | £0.90 | 275 192 |
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 ARS.L stock historical prices to predict future price movements?
Trend Analysis: Examine the ARS.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 ARS.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.