XLON:LOOP
LoopNet, Inc Stock Price (Quote)
£0.700
+0 (+0%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.700 | £0.700 | Thursday, 16th May 2024 LOOP.L stock ended at £0.700. During the day the stock fluctuated 0% from a day low at £0.700 to a day high of £0.700. |
90 days | £0.455 | £2.30 | |
52 weeks | £0.455 | £3.50 |
Date | Open | High | Low | Close | Volume |
Apr 10, 2024 | £0.550 | £0.80 | £0.500 | £0.700 | 4 820 257 |
Apr 09, 2024 | £0.550 | £0.600 | £0.500 | £0.550 | 1 781 577 |
Apr 08, 2024 | £0.600 | £0.700 | £0.455 | £0.520 | 10 439 102 |
Apr 05, 2024 | £0.601 | £0.660 | £0.580 | £0.650 | 381 152 |
Apr 04, 2024 | £0.600 | £0.670 | £0.600 | £0.650 | 389 395 |
Apr 03, 2024 | £0.600 | £0.665 | £0.600 | £0.650 | 1 230 923 |
Apr 02, 2024 | £0.646 | £0.700 | £0.600 | £0.650 | 1 026 573 |
Mar 28, 2024 | £0.700 | £0.700 | £0.600 | £0.650 | 2 399 104 |
Mar 27, 2024 | £0.600 | £0.690 | £0.600 | £0.690 | 2 824 896 |
Mar 26, 2024 | £0.600 | £0.695 | £0.600 | £0.650 | 4 303 164 |
Mar 25, 2024 | £0.682 | £0.700 | £0.500 | £0.625 | 2 165 982 |
Mar 22, 2024 | £0.650 | £0.685 | £0.650 | £0.680 | 1 052 540 |
Mar 21, 2024 | £0.650 | £0.700 | £0.650 | £0.651 | 1 539 758 |
Mar 20, 2024 | £0.650 | £0.690 | £0.650 | £0.650 | 4 078 035 |
Mar 19, 2024 | £0.599 | £0.688 | £0.599 | £0.675 | 8 566 389 |
Mar 18, 2024 | £0.599 | £0.650 | £0.550 | £0.600 | 3 322 653 |
Mar 15, 2024 | £0.598 | £0.690 | £0.598 | £0.599 | 288 798 |
Mar 14, 2024 | £0.550 | £0.733 | £0.550 | £0.650 | 3 513 386 |
Mar 13, 2024 | £0.600 | £0.700 | £0.550 | £0.550 | 8 420 842 |
Mar 12, 2024 | £0.600 | £0.660 | £0.535 | £0.612 | 4 047 458 |
Mar 11, 2024 | £1.06 | £1.06 | £0.565 | £0.664 | 21 854 260 |
Mar 08, 2024 | £2.02 | £2.02 | £2.02 | £2.02 | 368 565 |
Mar 07, 2024 | £2.02 | £2.02 | £2.02 | £2.02 | 0 |
Mar 06, 2024 | £2.10 | £2.10 | £2.02 | £2.02 | 162 301 |
Mar 05, 2024 | £2.00 | £2.10 | £2.00 | £2.05 | 52 530 |
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 LOOP.L stock historical prices to predict future price movements?
Trend Analysis: Examine the LOOP.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 LOOP.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.