XLON:QLT
Quilter Plc Stock Price (Quote)
£111.80
+0 (+0%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £97.30 | £116.79 | Thursday, 16th May 2024 QLT.L stock ended at £111.80. During the day the stock fluctuated 0% from a day low at £111.80 to a day high of £111.80. |
90 days | £93.55 | £116.79 | |
52 weeks | £71.20 | £116.79 |
Date | Open | High | Low | Close | Volume |
Nov 15, 2023 | £92.85 | £95.35 | £91.00 | £93.10 | 3 752 886 |
Nov 14, 2023 | £87.90 | £92.85 | £87.05 | £92.40 | 2 235 280 |
Nov 13, 2023 | £88.10 | £89.25 | £86.55 | £87.60 | 903 551 |
Nov 10, 2023 | £89.10 | £89.10 | £87.60 | £88.00 | 776 640 |
Nov 09, 2023 | £90.85 | £91.05 | £87.90 | £89.50 | 3 932 091 |
Nov 08, 2023 | £86.80 | £89.50 | £86.80 | £89.00 | 5 760 261 |
Nov 07, 2023 | £87.00 | £88.45 | £86.80 | £87.65 | 807 099 |
Nov 06, 2023 | £90.45 | £90.45 | £87.75 | £87.80 | 1 452 056 |
Nov 03, 2023 | £88.05 | £88.90 | £87.10 | £88.90 | 1 909 655 |
Nov 02, 2023 | £82.25 | £86.90 | £82.20 | £86.90 | 1 203 109 |
Nov 01, 2023 | £79.70 | £82.90 | £79.70 | £82.10 | 1 227 976 |
Oct 31, 2023 | £80.65 | £80.65 | £78.05 | £79.90 | 1 800 187 |
Oct 30, 2023 | £81.00 | £81.00 | £78.45 | £79.20 | 1 309 481 |
Oct 27, 2023 | £79.70 | £80.10 | £78.65 | £79.10 | 1 986 155 |
Oct 26, 2023 | £77.83 | £88.40 | £77.15 | £77.90 | 11 574 532 |
Oct 25, 2023 | £77.35 | £79.10 | £77.35 | £78.55 | 2 010 069 |
Oct 24, 2023 | £80.65 | £80.65 | £78.35 | £78.75 | 2 993 919 |
Oct 23, 2023 | £76.14 | £78.95 | £75.05 | £78.80 | 1 168 368 |
Oct 20, 2023 | £77.20 | £78.05 | £76.20 | £76.70 | 1 041 823 |
Oct 19, 2023 | £76.85 | £79.10 | £75.75 | £77.25 | 1 809 838 |
Oct 18, 2023 | £85.90 | £85.90 | £78.35 | £78.70 | 1 491 932 |
Oct 17, 2023 | £86.40 | £86.90 | £84.00 | £84.10 | 1 734 342 |
Oct 16, 2023 | £83.90 | £86.45 | £83.65 | £86.45 | 1 537 455 |
Oct 13, 2023 | £87.22 | £89.05 | £84.80 | £84.80 | 3 121 870 |
Oct 12, 2023 | £89.15 | £90.15 | £87.85 | £88.05 | 811 059 |
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 QLT.L stock historical prices to predict future price movements?
Trend Analysis: Examine the QLT.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 QLT.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.