XLON:FOG
Falcon Oil & Gas Ltd Stock Price (Quote)
£6.70
+0 (+0%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £6.05 | £7.80 | Thursday, 16th May 2024 FOG.L stock ended at £6.70. During the day the stock fluctuated 1.52% from a day low at £6.60 to a day high of £6.70. |
90 days | £6.05 | £13.44 | |
52 weeks | £6.00 | £13.44 |
Date | Open | High | Low | Close | Volume |
Jun 23, 2023 | £7.00 | £7.00 | £6.00 | £6.55 | 1 951 528 |
Jun 22, 2023 | £8.95 | £9.50 | £6.50 | £6.80 | 8 648 137 |
Jun 21, 2023 | £10.50 | £10.50 | £10.00 | £10.00 | 112 000 |
Jun 20, 2023 | £10.01 | £10.45 | £10.01 | £10.25 | 250 487 |
Jun 19, 2023 | £10.40 | £10.45 | £9.98 | £10.25 | 225 131 |
Jun 16, 2023 | £10.40 | £10.40 | £9.98 | £10.15 | 425 631 |
Jun 15, 2023 | £9.92 | £10.35 | £9.92 | £10.15 | 605 663 |
Jun 14, 2023 | £10.03 | £10.20 | £9.92 | £9.92 | 228 024 |
Jun 13, 2023 | £10.20 | £10.20 | £10.10 | £10.10 | 10 |
Jun 12, 2023 | £9.90 | £10.20 | £9.90 | £10.05 | 1 059 494 |
Jun 09, 2023 | £9.70 | £9.85 | £9.70 | £9.85 | 403 000 |
Jun 08, 2023 | £9.66 | £9.67 | £9.63 | £9.65 | 249 174 |
Jun 07, 2023 | £9.61 | £9.68 | £9.50 | £9.60 | 1 034 299 |
Jun 06, 2023 | £9.40 | £9.63 | £9.30 | £9.50 | 1 571 757 |
Jun 05, 2023 | £9.30 | £9.43 | £9.30 | £9.35 | 1 549 268 |
Jun 02, 2023 | £9.22 | £9.30 | £9.22 | £9.30 | 62 800 |
Jun 01, 2023 | £9.30 | £9.30 | £9.13 | £9.25 | 176 867 |
May 31, 2023 | £9.32 | £9.32 | £9.30 | £9.30 | 127 849 |
May 30, 2023 | £9.51 | £9.51 | £9.45 | £9.50 | 158 858 |
May 26, 2023 | £9.34 | £9.60 | £9.60 | £9.60 | 219 900 |
May 25, 2023 | £9.31 | £9.31 | £9.30 | £9.30 | 25 110 |
May 24, 2023 | £9.33 | £9.33 | £9.30 | £9.30 | 435 000 |
May 23, 2023 | £9.32 | £9.50 | £9.32 | £9.50 | 327 454 |
May 22, 2023 | £9.49 | £9.50 | £9.32 | £9.50 | 140 300 |
May 19, 2023 | £9.49 | £9.49 | £9.32 | £9.32 | 21 353 |
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 FOG.L stock historical prices to predict future price movements?
Trend Analysis: Examine the FOG.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 FOG.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.