XLON:PCTN
Picton Property Income Limited Stock Price (Quote)
£67.00
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £64.50 | £69.90 | Thursday, 30th May 2024 PCTN.L stock ended at £67.00. During the day the stock fluctuated 0% from a day low at £67.00 to a day high of £67.00. |
90 days | £60.30 | £69.90 | |
52 weeks | £55.52 | £79.80 |
Historical Picton Property Income Limited prices
Date | Open | High | Low | Close | Volume |
May 30, 2024 | £67.00 | £67.00 | £67.00 | £67.00 | 0 |
May 29, 2024 | £67.00 | £67.00 | £67.00 | £67.00 | 0 |
May 28, 2024 | £67.00 | £67.00 | £67.00 | £67.00 | 0 |
May 24, 2024 | £67.20 | £68.02 | £66.70 | £67.00 | 666 652 |
May 23, 2024 | £68.00 | £69.30 | £66.90 | £68.00 | 1 548 562 |
May 22, 2024 | £68.80 | £68.80 | £67.30 | £68.30 | 658 836 |
May 21, 2024 | £68.60 | £69.00 | £67.00 | £67.80 | 501 541 |
May 20, 2024 | £68.60 | £69.34 | £68.30 | £69.10 | 580 170 |
May 17, 2024 | £69.00 | £69.60 | £67.50 | £68.80 | 415 694 |
May 16, 2024 | £69.20 | £69.90 | £68.20 | £69.70 | 2 693 788 |
May 15, 2024 | £66.96 | £69.30 | £66.53 | £68.80 | 2 332 552 |
May 14, 2024 | £66.74 | £67.90 | £66.10 | £67.50 | 411 676 |
May 13, 2024 | £68.72 | £68.90 | £66.20 | £66.80 | 1 118 670 |
May 10, 2024 | £68.60 | £69.00 | £64.55 | £68.40 | 387 843 |
May 09, 2024 | £68.00 | £69.10 | £66.91 | £68.20 | 3 090 580 |
May 08, 2024 | £67.82 | £68.60 | £66.50 | £68.60 | 712 885 |
May 07, 2024 | £67.60 | £68.00 | £66.70 | £67.70 | 1 061 808 |
May 03, 2024 | £66.15 | £68.00 | £65.10 | £67.50 | 682 527 |
May 02, 2024 | £67.00 | £68.05 | £65.38 | £66.20 | 1 729 844 |
May 01, 2024 | £66.10 | £66.93 | £64.90 | £65.50 | 387 754 |
Apr 30, 2024 | £66.00 | £66.30 | £64.50 | £66.30 | 1 432 351 |
Apr 29, 2024 | £64.00 | £64.90 | £64.00 | £64.40 | 899 209 |
Apr 26, 2024 | £65.10 | £65.29 | £64.20 | £64.20 | 228 856 |
Apr 25, 2024 | £65.20 | £65.90 | £63.72 | £64.20 | 937 079 |
Apr 24, 2024 | £64.10 | £65.00 | £63.90 | £65.00 | 726 951 |
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 PCTN.L stock historical prices to predict future price movements?
Trend Analysis: Examine the PCTN.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 PCTN.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.