XLON:ITE
Delisted
SPDR(R) BLOOMBERG BARCLAYS INTERMEDIATE ETF Price (Quote)
£0.83
+0 (+0%)
At Close: Oct 03, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.728 | £0.84 | Thursday, 3rd Oct 2019 ITE.L stock ended at £0.83. During the day the stock fluctuated 0% from a day low at £0.83 to a day high of £0.83. |
90 days | £0.680 | £0.84 | |
52 weeks | £0.554 | £70.00 |
Date | Open | High | Low | Close | Volume |
Oct 12, 2018 | £0.630 | £0.667 | £0.618 | £0.627 | 681 615 |
Oct 11, 2018 | £0.630 | £0.662 | £0.630 | £0.630 | 1 278 072 |
Oct 10, 2018 | £0.662 | £0.685 | £0.641 | £0.660 | 2 494 249 |
Oct 09, 2018 | £0.690 | £0.700 | £0.673 | £0.682 | 434 647 |
Oct 08, 2018 | £0.690 | £0.699 | £0.690 | £0.696 | 1 633 959 |
Oct 05, 2018 | £0.710 | £0.710 | £0.684 | £0.699 | 490 167 |
Oct 04, 2018 | £0.730 | £0.730 | £0.699 | £0.710 | 735 871 |
Oct 03, 2018 | £0.750 | £0.750 | £0.676 | £0.730 | 3 991 574 |
Oct 02, 2018 | £0.743 | £0.761 | £0.740 | £0.752 | 173 838 |
Oct 01, 2018 | £0.746 | £0.772 | £0.729 | £0.761 | 898 199 |
Sep 28, 2018 | £0.770 | £0.770 | £0.715 | £0.720 | 787 798 |
Sep 27, 2018 | £0.712 | £0.760 | £0.705 | £0.755 | 157 878 |
Sep 26, 2018 | £0.700 | £0.739 | £0.700 | £0.725 | 507 218 |
Sep 25, 2018 | £0.724 | £0.730 | £0.718 | £0.725 | 1 376 783 |
Sep 24, 2018 | £0.760 | £0.760 | £0.722 | £0.730 | 1 325 065 |
Sep 21, 2018 | £0.738 | £0.750 | £0.713 | £0.741 | 1 490 051 |
Sep 20, 2018 | £0.721 | £0.739 | £0.720 | £0.731 | 167 169 |
Sep 19, 2018 | £0.730 | £0.750 | £0.723 | £0.733 | 956 822 |
Sep 18, 2018 | £0.743 | £0.763 | £0.738 | £0.738 | 371 747 |
Sep 17, 2018 | £0.782 | £0.784 | £0.757 | £0.757 | 252 999 |
Sep 14, 2018 | £0.769 | £0.792 | £0.769 | £0.780 | 347 451 |
Sep 13, 2018 | £0.799 | £0.80 | £0.785 | £0.790 | 124 228 |
Sep 12, 2018 | £0.81 | £0.81 | £0.768 | £0.790 | 1 324 682 |
Sep 11, 2018 | £0.85 | £0.85 | £0.776 | £0.777 | 117 352 |
Sep 10, 2018 | £0.80 | £0.82 | £0.782 | £0.782 | 179 328 |
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 ITE.L stock historical prices to predict future price movements?
Trend Analysis: Examine the ITE.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 ITE.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.