XLON:QFI
Delisted
Quadrise Fuels International Plc Stock Price (Quote)
£1.52
+0 (+0%)
At Close: Jun 23, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £1.52 | £1.52 | Friday, 23rd Jun 2023 QFI.L stock ended at £1.52. During the day the stock fluctuated 0% from a day low at £1.52 to a day high of £1.52. |
90 days | £1.45 | £1.65 | |
52 weeks | £1.10 | £2.80 |
Date | Open | High | Low | Close | Volume |
Aug 01, 2022 | £1.51 | £1.80 | £1.45 | £1.53 | 7 710 764 |
Jul 29, 2022 | £1.43 | £1.55 | £1.41 | £1.47 | 28 978 276 |
Jul 28, 2022 | £1.58 | £1.66 | £1.41 | £1.50 | 5 318 556 |
Jul 27, 2022 | £1.58 | £1.85 | £1.50 | £1.69 | 0 |
Jul 26, 2022 | £1.35 | £1.58 | £1.30 | £1.40 | 14 015 072 |
Jul 25, 2022 | £1.44 | £1.58 | £1.30 | £1.48 | 5 579 342 |
Jul 22, 2022 | £1.48 | £1.52 | £1.46 | £1.50 | 3 734 089 |
Jul 21, 2022 | £1.59 | £1.59 | £1.43 | £1.59 | 0 |
Jul 20, 2022 | £1.58 | £1.60 | £1.21 | £1.45 | 9 160 937 |
Jul 19, 2022 | £1.44 | £1.48 | £1.31 | £1.35 | 3 466 229 |
Jul 18, 2022 | £1.44 | £1.52 | £1.27 | £1.39 | 2 087 867 |
Jul 15, 2022 | £1.37 | £1.45 | £1.25 | £1.39 | 7 520 935 |
Jul 14, 2022 | £1.57 | £1.57 | £1.35 | £1.44 | 1 044 731 |
Jul 13, 2022 | £1.44 | £1.44 | £1.37 | £1.43 | 1 159 305 |
Jul 12, 2022 | £1.39 | £1.49 | £1.32 | £1.49 | 2 985 602 |
Jul 11, 2022 | £1.37 | £1.50 | £1.31 | £1.40 | 2 486 229 |
Jul 08, 2022 | £1.78 | £1.78 | £1.38 | £1.43 | 4 039 833 |
Jul 07, 2022 | £1.49 | £1.80 | £1.49 | £1.62 | 270 076 |
Jul 06, 2022 | £1.43 | £1.53 | £1.43 | £1.53 | 861 488 |
Jul 05, 2022 | £1.59 | £1.71 | £1.43 | £1.43 | 2 801 533 |
Jul 04, 2022 | £1.45 | £1.65 | £1.45 | £1.55 | 4 667 675 |
Jul 01, 2022 | £1.53 | £1.53 | £1.53 | £1.53 | 0 |
Jun 30, 2022 | £1.58 | £1.76 | £1.51 | £1.60 | 394 892 |
Jun 29, 2022 | £1.50 | £1.69 | £1.41 | £1.41 | 50 000 |
Jun 28, 2022 | £1.51 | £1.51 | £1.43 | £1.50 | 893 468 |
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 QFI.L stock historical prices to predict future price movements?
Trend Analysis: Examine the QFI.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 QFI.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.