XLON:PCFT
Polar Capital Global Financials Trust Stock Price (Quote)
£170.20
+0.800 (+0.472%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £157.40 | £171.40 | Friday, 17th May 2024 PCFT.L stock ended at £170.20. This is 0.472% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.23% from a day low at £167.00 to a day high of £170.73. |
90 days | £152.00 | £171.40 | |
52 weeks | £130.40 | £171.40 |
Date | Open | High | Low | Close | Volume |
Mar 05, 2024 | £158.26 | £158.60 | £157.40 | £158.40 | 713 154 |
Mar 04, 2024 | £157.04 | £158.80 | £157.04 | £158.60 | 703 252 |
Mar 01, 2024 | £157.60 | £158.60 | £156.45 | £158.00 | 345 128 |
Feb 29, 2024 | £153.60 | £157.80 | £153.60 | £157.60 | 1 448 796 |
Feb 28, 2024 | £156.00 | £157.07 | £155.61 | £157.00 | 402 022 |
Feb 27, 2024 | £155.75 | £156.60 | £155.00 | £156.20 | 461 553 |
Feb 26, 2024 | £156.21 | £157.20 | £154.80 | £156.40 | 600 553 |
Feb 23, 2024 | £154.40 | £156.42 | £154.37 | £156.00 | 922 452 |
Feb 22, 2024 | £153.55 | £156.00 | £153.44 | £155.60 | 794 654 |
Feb 21, 2024 | £154.00 | £154.40 | £153.30 | £154.20 | 3 538 099 |
Feb 20, 2024 | £154.00 | £154.55 | £153.54 | £154.40 | 613 760 |
Feb 19, 2024 | £154.22 | £156.00 | £152.00 | £156.00 | 528 052 |
Feb 16, 2024 | £153.25 | £156.20 | £153.00 | £156.20 | 356 959 |
Feb 15, 2024 | £152.20 | £154.60 | £151.33 | £154.60 | 1 055 303 |
Feb 14, 2024 | £151.50 | £153.06 | £150.40 | £152.40 | 550 660 |
Feb 13, 2024 | £151.20 | £152.07 | £150.00 | £151.20 | 394 145 |
Feb 12, 2024 | £150.60 | £152.60 | £150.60 | £152.60 | 506 047 |
Feb 09, 2024 | £150.60 | £152.09 | £150.60 | £151.00 | 535 251 |
Feb 08, 2024 | £150.13 | £152.18 | £149.60 | £150.00 | 3 490 521 |
Feb 07, 2024 | £148.40 | £151.00 | £148.40 | £150.80 | 316 553 |
Feb 06, 2024 | £150.26 | £151.36 | £150.01 | £150.80 | 1 160 793 |
Feb 05, 2024 | £149.73 | £153.20 | £149.20 | £150.00 | 7 264 525 |
Feb 02, 2024 | £150.84 | £151.50 | £149.60 | £150.00 | 881 141 |
Feb 01, 2024 | £149.78 | £152.60 | £149.00 | £150.40 | 444 336 |
Jan 31, 2024 | £151.04 | £154.00 | £151.04 | £153.00 | 276 481 |
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 PCFT.L stock historical prices to predict future price movements?
Trend Analysis: Examine the PCFT.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 PCFT.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.