XLON:ARCM
ARROW RESERVE CAPITAL MANAGEMENT ETF Stock Price (Quote)
£1.80
-0.0250 (-1.37%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £1.57 | £1.90 | Friday, 17th May 2024 ARCM.L stock ended at £1.80. This is 1.37% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 6.86% from a day low at £1.78 to a day high of £1.90. |
90 days | £1.57 | £2.50 | |
52 weeks | £1.57 | £4.29 |
Date | Open | High | Low | Close | Volume |
Jan 30, 2024 | £2.60 | £2.65 | £2.45 | £2.65 | 9 938 466 |
Jan 29, 2024 | £2.71 | £2.75 | £2.58 | £2.60 | 2 454 560 |
Jan 26, 2024 | £2.79 | £2.80 | £2.69 | £2.75 | 2 228 057 |
Jan 25, 2024 | £2.83 | £3.15 | £2.73 | £2.75 | 6 966 449 |
Jan 24, 2024 | £2.78 | £2.95 | £2.72 | £2.84 | 2 251 371 |
Jan 23, 2024 | £2.70 | £2.85 | £2.62 | £2.78 | 2 185 643 |
Jan 22, 2024 | £2.90 | £2.95 | £2.63 | £2.70 | 4 982 648 |
Jan 19, 2024 | £2.75 | £2.95 | £2.72 | £2.72 | 13 817 127 |
Jan 18, 2024 | £2.75 | £2.85 | £2.75 | £2.75 | 2 550 728 |
Jan 17, 2024 | £2.85 | £2.97 | £2.77 | £2.88 | 3 409 341 |
Jan 16, 2024 | £2.65 | £2.84 | £2.57 | £2.78 | 6 385 517 |
Jan 15, 2024 | £2.60 | £2.69 | £2.52 | £2.63 | 5 209 374 |
Jan 12, 2024 | £2.68 | £2.68 | £2.60 | £2.65 | 1 683 715 |
Jan 11, 2024 | £2.75 | £2.79 | £2.60 | £2.65 | 750 173 |
Jan 10, 2024 | £2.78 | £2.80 | £2.63 | £2.70 | 3 185 546 |
Jan 09, 2024 | £2.91 | £2.93 | £2.71 | £2.75 | 4 213 196 |
Jan 08, 2024 | £2.90 | £2.97 | £2.90 | £2.95 | 1 046 588 |
Jan 05, 2024 | £3.00 | £3.00 | £2.90 | £2.95 | 1 286 380 |
Jan 04, 2024 | £2.97 | £3.01 | £2.90 | £2.95 | 2 208 272 |
Jan 03, 2024 | £2.91 | £3.10 | £2.90 | £3.00 | 5 731 816 |
Jan 02, 2024 | £3.03 | £3.20 | £2.95 | £3.05 | 1 477 603 |
Dec 29, 2023 | £3.09 | £3.20 | £3.03 | £3.10 | 620 367 |
Dec 28, 2023 | £3.15 | £3.15 | £3.15 | £3.15 | 0 |
Dec 27, 2023 | £3.02 | £3.25 | £3.02 | £3.10 | 1 955 526 |
Dec 22, 2023 | £3.06 | £3.24 | £3.01 | £3.15 | 427 178 |
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 ARCM.L stock historical prices to predict future price movements?
Trend Analysis: Examine the ARCM.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 ARCM.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.