XLON:FXPO
Ferrexpo Plc Stock Price (Quote)
£44.30
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £43.50 | £53.00 | Thursday, 30th May 2024 FXPO.L stock ended at £44.30. During the day the stock fluctuated 0% from a day low at £44.30 to a day high of £44.30. |
90 days | £42.85 | £74.65 | |
52 weeks | £42.85 | £101.40 |
Historical Ferrexpo Plc prices
Date | Open | High | Low | Close | Volume |
Jul 22, 2016 | £39.50 | £39.50 | £37.00 | £39.00 | 207 356 |
Jul 21, 2016 | £38.00 | £39.75 | £38.00 | £39.50 | 234 396 |
Jul 20, 2016 | £37.50 | £39.75 | £37.50 | £39.75 | 515 374 |
Jul 19, 2016 | £40.00 | £40.00 | £36.50 | £37.75 | 514 878 |
Jul 18, 2016 | £39.00 | £40.00 | £38.50 | £40.00 | 280 150 |
Jul 15, 2016 | £39.50 | £40.00 | £37.25 | £40.00 | 578 372 |
Jul 14, 2016 | £40.00 | £40.25 | £38.25 | £39.50 | 924 404 |
Jul 13, 2016 | £38.00 | £40.00 | £37.25 | £40.00 | 1 245 504 |
Jul 12, 2016 | £34.50 | £39.25 | £34.00 | £37.25 | 2 095 081 |
Jul 11, 2016 | £33.75 | £34.50 | £33.50 | £34.00 | 189 238 |
Jul 08, 2016 | £32.00 | £34.00 | £32.00 | £33.75 | 321 756 |
Jul 07, 2016 | £32.50 | £34.25 | £32.25 | £34.00 | 692 150 |
Jul 06, 2016 | £34.00 | £34.50 | £32.00 | £32.25 | 574 259 |
Jul 05, 2016 | £34.00 | £34.00 | £31.75 | £32.00 | 567 387 |
Jul 04, 2016 | £32.25 | £34.25 | £32.25 | £33.50 | 524 912 |
Jul 01, 2016 | £31.00 | £32.50 | £31.00 | £32.50 | 192 029 |
Jun 30, 2016 | £31.25 | £32.50 | £31.25 | £32.50 | 357 632 |
Jun 29, 2016 | £31.00 | £31.75 | £30.50 | £31.50 | 372 969 |
Jun 28, 2016 | £29.50 | £30.50 | £29.50 | £30.25 | 184 041 |
Jun 27, 2016 | £30.00 | £30.25 | £28.50 | £29.75 | 603 135 |
Jun 24, 2016 | £30.75 | £31.00 | £28.75 | £29.50 | 1 812 900 |
Jun 23, 2016 | £32.00 | £32.25 | £30.75 | £31.50 | 324 842 |
Jun 22, 2016 | £30.50 | £31.00 | £30.50 | £30.75 | 711 516 |
Jun 21, 2016 | £30.75 | £31.25 | £30.50 | £30.75 | 149 257 |
Jun 20, 2016 | £31.25 | £32.00 | £31.00 | £31.25 | 700 410 |
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 FXPO.L stock historical prices to predict future price movements?
Trend Analysis: Examine the FXPO.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 FXPO.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.