XLON:IRV
Delisted
SPDR(R) S&P(R) INTERNATIONAL MATERIALS ETF Price (Quote)
£6.25
+0 (+0%)
At Close: Sep 16, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £6.25 | £6.25 | Monday, 16th Sep 2019 IRV.L stock ended at £6.25. During the day the stock fluctuated 0% from a day low at £6.25 to a day high of £6.25. |
90 days | £6.25 | £6.25 | |
52 weeks | £6.25 | £60.00 |
Date | Open | High | Low | Close | Volume |
Mar 18, 2019 | £6.25 | £6.25 | £6.25 | £6.25 | 0 |
Mar 15, 2019 | £9.58 | £11.11 | £6.30 | £6.25 | 5 494 105 |
Mar 14, 2019 | £9.51 | £10.75 | £8.70 | £9.60 | 5 971 007 |
Mar 13, 2019 | £13.03 | £13.05 | £8.67 | £9.23 | 4 613 523 |
Mar 12, 2019 | £13.11 | £14.00 | £13.10 | £13.15 | 2 285 647 |
Mar 11, 2019 | £14.50 | £15.24 | £13.03 | £14.15 | 3 120 411 |
Mar 08, 2019 | £14.89 | £15.20 | £14.43 | £14.60 | 940 386 |
Mar 07, 2019 | £16.00 | £16.50 | £14.00 | £14.89 | 7 897 652 |
Mar 06, 2019 | £17.44 | £17.65 | £15.79 | £16.00 | 1 867 826 |
Mar 05, 2019 | £15.04 | £20.48 | £15.04 | £17.90 | 4 678 496 |
Mar 04, 2019 | £17.59 | £18.32 | £15.65 | £15.80 | 2 343 680 |
Mar 01, 2019 | £17.73 | £19.10 | £17.20 | £17.76 | 5 153 311 |
Feb 28, 2019 | £20.00 | £21.00 | £17.03 | £17.73 | 2 831 136 |
Feb 27, 2019 | £20.00 | £24.76 | £16.56 | £22.48 | 13 428 196 |
Feb 26, 2019 | £16.00 | £22.36 | £15.90 | £20.70 | 5 187 029 |
Feb 25, 2019 | £15.64 | £17.00 | £14.00 | £16.20 | 3 387 168 |
Feb 22, 2019 | £10.26 | £16.79 | £9.51 | £15.64 | 7 254 754 |
Feb 21, 2019 | £9.50 | £10.40 | £9.50 | £10.26 | 964 563 |
Feb 20, 2019 | £10.00 | £10.70 | £9.76 | £10.50 | 976 347 |
Feb 19, 2019 | £9.80 | £10.10 | £9.80 | £9.99 | 872 042 |
Feb 18, 2019 | £10.30 | £10.39 | £9.81 | £9.81 | 2 085 182 |
Feb 15, 2019 | £12.20 | £12.20 | £10.00 | £10.21 | 1 877 598 |
Feb 14, 2019 | £12.20 | £12.20 | £11.00 | £11.79 | 710 134 |
Feb 13, 2019 | £11.75 | £12.49 | £11.30 | £11.81 | 1 013 167 |
Feb 12, 2019 | £11.57 | £11.57 | £11.00 | £11.20 | 1 588 171 |
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 IRV.L stock historical prices to predict future price movements?
Trend Analysis: Examine the IRV.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 IRV.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.