XLON:QLT
Quilter Plc Stock Price (Quote)
£117.00
-1.10 (-0.93%)
At Close: Jun 13, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £109.30 | £124.50 | Thursday, 13th Jun 2024 QLT.L stock ended at £117.00. This is 0.93% less than the trading day before Wednesday, 12th Jun 2024. During the day the stock fluctuated 1.97% from a day low at £116.70 to a day high of £119.00. |
90 days | £97.30 | £124.50 | |
52 weeks | £71.20 | £124.50 |
Historical Quilter Plc prices
Date | Open | High | Low | Close | Volume |
Feb 20, 2019 | £1.24 | £1.26 | £1.23 | £1.26 | 1 530 155 |
Feb 19, 2019 | £1.25 | £1.25 | £1.23 | £1.25 | 3 148 292 |
Feb 18, 2019 | £122.70 | £125.30 | £121.90 | £124.68 | 2 078 420 |
Feb 15, 2019 | £1.22 | £1.24 | £1.20 | £1.22 | 2 770 120 |
Feb 14, 2019 | £1.23 | £1.25 | £1.21 | £1.22 | 2 627 447 |
Feb 13, 2019 | £1.20 | £1.24 | £1.20 | £1.23 | 4 171 687 |
Feb 12, 2019 | £1.23 | £1.23 | £1.20 | £1.21 | 2 151 096 |
Feb 11, 2019 | £1.23 | £1.24 | £1.22 | £1.23 | 2 457 511 |
Feb 08, 2019 | £1.21 | £1.24 | £1.19 | £1.21 | 2 899 025 |
Feb 07, 2019 | £1.24 | £1.25 | £1.21 | £1.22 | 3 244 287 |
Feb 06, 2019 | £1.23 | £1.26 | £1.23 | £1.25 | 1 733 089 |
Feb 05, 2019 | £1.23 | £1.24 | £1.23 | £1.24 | 1 912 832 |
Feb 04, 2019 | £1.24 | £1.24 | £1.23 | £1.23 | 1 995 692 |
Feb 01, 2019 | £1.23 | £1.25 | £1.23 | £1.24 | 1 949 183 |
Jan 31, 2019 | £1.25 | £1.27 | £1.22 | £1.23 | 3 766 487 |
Jan 30, 2019 | £1.25 | £1.26 | £1.24 | £1.26 | 2 471 508 |
Jan 29, 2019 | £1.26 | £1.26 | £1.24 | £1.25 | 2 562 492 |
Jan 28, 2019 | £1.27 | £1.27 | £1.24 | £1.25 | 1 798 913 |
Jan 25, 2019 | £1.27 | £1.29 | £1.26 | £1.27 | 2 096 068 |
Jan 24, 2019 | £1.26 | £1.30 | £1.26 | £1.27 | 2 504 462 |
Jan 23, 2019 | £1.28 | £1.28 | £1.26 | £1.27 | 1 487 125 |
Jan 22, 2019 | £1.28 | £1.29 | £1.27 | £1.28 | 1 740 693 |
Jan 21, 2019 | £128.72 | £129.60 | £127.48 | £128.70 | 2 612 257 |
Jan 18, 2019 | £1.27 | £1.29 | £1.27 | £1.28 | 3 634 088 |
Jan 17, 2019 | £1.27 | £1.28 | £1.26 | £1.27 | 1 852 253 |
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.