XLON:FPM
Delisted
Faroe Petroleum Fund Price (Quote)
£160.40
+0 (+0%)
At Close: Mar 29, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £160.40 | £160.40 | Friday, 29th Mar 2019 FPM.L stock ended at £160.40. During the day the stock fluctuated 0% from a day low at £160.40 to a day high of £160.40. |
90 days | £140.00 | £164.60 | |
52 weeks | £105.00 | £177.20 |
Date | Open | High | Low | Close | Volume |
Jul 28, 2017 | £85.50 | £86.75 | £84.50 | £86.00 | 731 845 |
Jul 27, 2017 | £84.75 | £85.00 | £83.75 | £84.75 | 646 325 |
Jul 26, 2017 | £84.75 | £84.75 | £81.75 | £84.00 | 2 624 583 |
Jul 25, 2017 | £78.50 | £79.75 | £77.25 | £79.25 | 586 604 |
Jul 24, 2017 | £75.75 | £78.25 | £75.50 | £78.25 | 7 130 265 |
Jul 21, 2017 | £76.00 | £76.00 | £74.50 | £75.50 | 1 832 320 |
Jul 20, 2017 | £77.00 | £77.75 | £75.00 | £75.50 | 1 068 740 |
Jul 19, 2017 | £79.00 | £79.25 | £76.00 | £76.50 | 806 740 |
Jul 18, 2017 | £78.25 | £78.50 | £77.00 | £77.75 | 511 510 |
Jul 17, 2017 | £77.75 | £80.25 | £77.50 | £78.25 | 1 224 659 |
Jul 14, 2017 | £79.25 | £79.25 | £77.25 | £77.75 | 1 289 928 |
Jul 13, 2017 | £82.00 | £82.00 | £78.00 | £78.25 | 634 423 |
Jul 12, 2017 | £81.25 | £81.25 | £79.75 | £80.00 | 1 329 163 |
Jul 11, 2017 | £80.50 | £81.00 | £78.00 | £79.25 | 767 879 |
Jul 10, 2017 | £82.75 | £83.75 | £79.00 | £80.25 | 1 523 536 |
Jul 07, 2017 | £85.50 | £86.00 | £82.00 | £83.50 | 563 859 |
Jul 06, 2017 | £86.00 | £86.25 | £84.00 | £85.25 | 396 151 |
Jul 05, 2017 | £90.00 | £90.00 | £85.25 | £86.25 | 374 115 |
Jul 04, 2017 | £89.00 | £89.00 | £85.25 | £87.00 | 1 373 854 |
Jul 03, 2017 | £85.50 | £88.25 | £84.50 | £87.75 | 2 686 977 |
Jun 30, 2017 | £85.00 | £85.00 | £81.25 | £83.00 | 1 081 529 |
Jun 29, 2017 | £82.00 | £84.50 | £82.00 | £84.00 | 656 224 |
Jun 28, 2017 | £85.00 | £85.00 | £81.75 | £83.50 | 660 801 |
Jun 27, 2017 | £82.00 | £84.75 | £82.00 | £84.00 | 766 479 |
Jun 26, 2017 | £82.50 | £86.50 | £82.00 | £82.00 | 696 815 |
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 FPM.L stock historical prices to predict future price movements?
Trend Analysis: Examine the FPM.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 FPM.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.