XLON:JPJ
Delisted
Jackpotjoy plc Stock Price (Quote)
£7.25
+0 (+0%)
At Close: Oct 14, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £7.12 | £7.32 | Monday, 14th Oct 2019 JPJ.L stock ended at £7.25. During the day the stock fluctuated 0% from a day low at £7.25 to a day high of £7.25. |
90 days | £6.24 | £7.32 | |
52 weeks | £5.71 | £725.00 |
Date | Open | High | Low | Close | Volume |
Oct 23, 2018 | £6.70 | £6.71 | £6.39 | £6.53 | 128 790 |
Oct 22, 2018 | £6.89 | £6.94 | £6.69 | £6.82 | 108 264 |
Oct 19, 2018 | £6.80 | £7.10 | £6.80 | £6.99 | 103 112 |
Oct 18, 2018 | £6.80 | £6.95 | £6.80 | £6.95 | 23 291 |
Oct 17, 2018 | £6.91 | £6.95 | £6.75 | £6.90 | 108 799 |
Oct 16, 2018 | £6.89 | £6.97 | £6.80 | £6.97 | 140 898 |
Oct 15, 2018 | £6.73 | £7.02 | £6.73 | £6.92 | 89 160 |
Oct 12, 2018 | £6.74 | £6.86 | £6.68 | £6.75 | 138 185 |
Oct 11, 2018 | £6.70 | £6.78 | £6.66 | £6.78 | 178 453 |
Oct 10, 2018 | £7.00 | £7.03 | £6.76 | £6.85 | 235 499 |
Oct 09, 2018 | £7.06 | £7.17 | £6.94 | £7.04 | 190 931 |
Oct 08, 2018 | £7.35 | £7.35 | £7.06 | £7.09 | 185 417 |
Oct 05, 2018 | £7.30 | £7.42 | £7.26 | £7.40 | 49 676 |
Oct 04, 2018 | £7.40 | £7.48 | £7.31 | £7.31 | 54 588 |
Oct 03, 2018 | £7.40 | £7.52 | £7.40 | £7.42 | 329 759 |
Oct 02, 2018 | £7.43 | £7.51 | £7.40 | £7.43 | 215 549 |
Oct 01, 2018 | £7.55 | £7.61 | £7.45 | £7.45 | 68 063 |
Sep 28, 2018 | £7.50 | £7.62 | £7.47 | £7.59 | 110 069 |
Sep 27, 2018 | £7.49 | £7.56 | £7.45 | £7.56 | 138 320 |
Sep 26, 2018 | £7.50 | £7.54 | £7.46 | £7.50 | 175 785 |
Sep 25, 2018 | £7.65 | £7.68 | £7.48 | £7.52 | 110 051 |
Sep 24, 2018 | £7.74 | £7.83 | £7.67 | £7.69 | 133 970 |
Sep 21, 2018 | £7.64 | £7.76 | £7.60 | £7.76 | 3 156 441 |
Sep 20, 2018 | £7.92 | £7.92 | £7.50 | £7.64 | 621 545 |
Sep 19, 2018 | £7.88 | £7.93 | £7.75 | £7.75 | 166 379 |
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 JPJ.L stock historical prices to predict future price movements?
Trend Analysis: Examine the JPJ.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 JPJ.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.