XLON:JOUL
Delisted
Joules Group Plc Stock Price (Quote)
£9.60
+0 (+0%)
At Close: Feb 09, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £9.60 | £9.60 | Thursday, 9th Feb 2023 JOUL.L stock ended at £9.60. During the day the stock fluctuated 0% from a day low at £9.60 to a day high of £9.60. |
90 days | £8.00 | £9.69 | |
52 weeks | £4.00 | £82.00 |
Date | Open | High | Low | Close | Volume |
Oct 21, 2022 | £10.02 | £12.00 | £9.80 | £10.22 | 8 143 |
Oct 20, 2022 | £11.64 | £11.64 | £10.02 | £10.66 | 1 600 |
Oct 19, 2022 | £12.00 | £13.50 | £11.02 | £11.32 | 1 216 000 |
Oct 18, 2022 | £11.02 | £14.00 | £11.02 | £12.14 | 0 |
Oct 17, 2022 | £9.01 | £13.50 | £9.01 | £11.80 | 8 946 236 |
Oct 14, 2022 | £9.22 | £9.89 | £8.06 | £9.50 | 21 000 |
Oct 13, 2022 | £9.10 | £9.49 | £8.02 | £8.02 | 732 699 |
Oct 12, 2022 | £8.91 | £9.30 | £8.00 | £8.90 | 897 665 |
Oct 11, 2022 | £9.39 | £9.50 | £8.65 | £8.65 | 1 321 668 |
Oct 10, 2022 | £9.00 | £9.67 | £8.33 | £9.00 | 2 326 612 |
Oct 07, 2022 | £7.86 | £10.00 | £7.86 | £9.00 | 11 249 359 |
Oct 06, 2022 | £8.70 | £9.00 | £7.00 | £7.66 | 935 590 |
Oct 05, 2022 | £7.00 | £8.99 | £6.51 | £8.20 | 2 650 864 |
Oct 04, 2022 | £5.53 | £8.49 | £5.51 | £7.00 | 2 811 057 |
Oct 03, 2022 | £6.70 | £7.00 | £5.51 | £6.50 | 1 824 169 |
Sep 30, 2022 | £5.04 | £7.00 | £4.90 | £6.30 | 8 232 540 |
Sep 29, 2022 | £7.07 | £8.53 | £4.00 | £5.00 | 4 830 681 |
Sep 28, 2022 | £7.42 | £7.99 | £7.21 | £7.42 | 1 433 826 |
Sep 27, 2022 | £7.73 | £8.14 | £7.51 | £7.86 | 1 017 232 |
Sep 26, 2022 | £7.50 | £8.26 | £7.00 | £7.98 | 2 501 565 |
Sep 23, 2022 | £7.43 | £7.88 | £7.13 | £7.50 | 2 033 256 |
Sep 22, 2022 | £7.59 | £9.00 | £7.01 | £7.11 | 2 059 893 |
Sep 21, 2022 | £7.72 | £8.39 | £7.72 | £8.20 | 1 634 207 |
Sep 20, 2022 | £8.30 | £8.99 | £7.21 | £8.18 | 6 848 288 |
Sep 19, 2022 | £8.20 | £8.20 | £8.20 | £8.20 | 0 |
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 JOUL.L stock historical prices to predict future price movements?
Trend Analysis: Examine the JOUL.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 JOUL.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.