XLON:FEVR
Fevertree Drinks Plc Stock Price (Quote)
£1,145.00
-15.00 (-1.29%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £1,050.00 | £1,206.00 | Thursday, 23rd May 2024 FEVR.L stock ended at £1,145.00. This is 1.29% less than the trading day before Wednesday, 22nd May 2024. During the day the stock fluctuated 5.74% from a day low at £1,120.00 to a day high of £1,184.26. |
90 days | £1,049.73 | £1,247.00 | |
52 weeks | £947.00 | £1,489.00 |
Date | Open | High | Low | Close | Volume |
Dec 29, 2023 | £1,025.00 | £1,050.00 | £1,025.00 | £1,049.00 | 98 057 |
Dec 28, 2023 | £1,044.00 | £1,044.00 | £1,044.00 | £1,044.00 | 0 |
Dec 27, 2023 | £1,040.00 | £1,062.40 | £1,000.00 | £1,059.00 | 220 893 |
Dec 22, 2023 | £1,053.00 | £1,061.00 | £1,008.00 | £1,044.00 | 108 044 |
Dec 21, 2023 | £1,083.00 | £1,083.00 | £1,083.00 | £1,083.00 | 0 |
Dec 20, 2023 | £1,100.00 | £1,102.00 | £1,062.00 | £1,083.00 | 330 427 |
Dec 19, 2023 | £1,065.00 | £1,091.00 | £1,065.00 | £1,075.00 | 221 228 |
Dec 18, 2023 | £1,083.00 | £1,096.00 | £1,075.00 | £1,084.00 | 95 332 |
Dec 15, 2023 | £1,103.00 | £1,156.00 | £1,081.00 | £1,083.00 | 89 825 |
Dec 14, 2023 | £1,060.00 | £1,136.00 | £1,060.00 | £1,108.00 | 265 405 |
Dec 13, 2023 | £1,088.00 | £1,094.00 | £1,043.00 | £1,056.00 | 234 164 |
Dec 12, 2023 | £1,021.00 | £1,079.00 | £1,021.00 | £1,045.00 | 475 089 |
Dec 11, 2023 | £1,040.00 | £1,081.60 | £1,040.00 | £1,071.00 | 123 820 |
Dec 08, 2023 | £1,086.00 | £1,086.00 | £1,048.20 | £1,064.00 | 138 422 |
Dec 07, 2023 | £1,050.00 | £1,068.00 | £1,040.00 | £1,054.00 | 176 667 |
Dec 06, 2023 | £1,026.00 | £1,068.00 | £1,021.14 | £1,054.00 | 139 324 |
Dec 05, 2023 | £1,043.00 | £1,060.00 | £1,016.00 | £1,042.00 | 182 998 |
Dec 04, 2023 | £1,007.00 | £1,054.00 | £1,002.00 | £1,048.00 | 253 226 |
Dec 01, 2023 | £1,044.00 | £1,051.00 | £1,015.00 | £1,018.00 | 229 745 |
Nov 30, 2023 | £1,030.00 | £1,067.00 | £1,030.00 | £1,053.00 | 229 337 |
Nov 29, 2023 | £1,099.00 | £1,099.00 | £1,057.00 | £1,063.00 | 80 653 |
Nov 28, 2023 | £1,067.00 | £1,067.00 | £1,067.00 | £1,067.00 | 0 |
Nov 27, 2023 | £1,079.00 | £1,089.00 | £1,067.00 | £1,067.00 | 137 237 |
Nov 24, 2023 | £1,126.00 | £1,126.00 | £1,062.00 | £1,079.00 | 159 520 |
Nov 23, 2023 | £1,069.00 | £1,097.00 | £1,067.00 | £1,080.00 | 73 674 |
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 FEVR.L stock historical prices to predict future price movements?
Trend Analysis: Examine the FEVR.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 FEVR.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.