XLON:ARB
Argo Blockchain Plc Stock Price (Quote)
£11.00
+0 (+0%)
At Close: May 29, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £10.00 | £13.00 | Wednesday, 29th May 2024 ARB.L stock ended at £11.00. During the day the stock fluctuated 0% from a day low at £11.00 to a day high of £11.00. |
90 days | £10.00 | £20.50 | |
52 weeks | £6.00 | £36.00 |
Historical Argo Blockchain Plc prices
Date | Open | High | Low | Close | Volume |
Jul 07, 2023 | £11.40 | £12.00 | £10.60 | £12.00 | 3 460 626 |
Jul 06, 2023 | £11.95 | £12.50 | £10.50 | £12.00 | 7 279 835 |
Jul 05, 2023 | £11.80 | £12.00 | £10.50 | £11.50 | 4 394 150 |
Jul 04, 2023 | £12.00 | £12.50 | £11.50 | £11.70 | 2 702 215 |
Jul 03, 2023 | £11.00 | £11.00 | £11.00 | £11.00 | 0 |
Jun 30, 2023 | £12.00 | £13.00 | £11.00 | £11.00 | 9 048 681 |
Jun 29, 2023 | £12.05 | £13.00 | £11.50 | £12.00 | 3 330 042 |
Jun 28, 2023 | £12.27 | £12.50 | £11.50 | £12.24 | 3 258 414 |
Jun 27, 2023 | £12.00 | £13.00 | £11.50 | £12.50 | 3 794 947 |
Jun 26, 2023 | £11.98 | £13.00 | £11.00 | £12.00 | 4 820 285 |
Jun 23, 2023 | £10.70 | £12.10 | £10.50 | £12.10 | 7 060 360 |
Jun 22, 2023 | £10.16 | £13.00 | £10.00 | £10.60 | 22 526 221 |
Jun 21, 2023 | £8.00 | £10.50 | £7.50 | £10.20 | 11 800 291 |
Jun 20, 2023 | £6.67 | £7.50 | £6.00 | £7.30 | 2 471 322 |
Jun 19, 2023 | £6.40 | £7.50 | £6.00 | £6.50 | 6 681 180 |
Jun 16, 2023 | £8.00 | £8.20 | £6.00 | £6.25 | 15 126 511 |
Jun 15, 2023 | £8.50 | £8.60 | £7.90 | £8.00 | 2 610 730 |
Jun 14, 2023 | £8.60 | £9.00 | £8.00 | £9.00 | 689 125 |
Jun 13, 2023 | £8.56 | £9.00 | £8.51 | £8.80 | 826 707 |
Jun 12, 2023 | £8.63 | £9.00 | £8.00 | £8.50 | 1 992 201 |
Jun 09, 2023 | £8.96 | £9.00 | £8.50 | £8.50 | 1 004 985 |
Jun 08, 2023 | £9.29 | £9.50 | £8.50 | £9.00 | 1 023 058 |
Jun 07, 2023 | £9.16 | £9.50 | £8.50 | £9.40 | 1 455 111 |
Jun 06, 2023 | £8.60 | £9.25 | £8.30 | £9.00 | 1 381 093 |
Jun 05, 2023 | £8.95 | £9.80 | £8.75 | £9.13 | 1 649 472 |
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 ARB.L stock historical prices to predict future price movements?
Trend Analysis: Examine the ARB.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 ARB.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.