XLON:KP2
Kore Potash Plc Stock Price (Quote)
£1.23
+0 (+0%)
At Close: May 29, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.500 | £1.29 | Wednesday, 29th May 2024 KP2.L stock ended at £1.23. During the day the stock fluctuated 0% from a day low at £1.23 to a day high of £1.23. |
90 days | £0.450 | £1.29 | |
52 weeks | £0.365 | £1.29 |
Historical Kore Potash Plc prices
Date | Open | High | Low | Close | Volume |
Feb 07, 2024 | £0.566 | £0.600 | £0.552 | £0.600 | 1 970 000 |
Feb 06, 2024 | £0.544 | £0.600 | £0.544 | £0.600 | 790 817 |
Feb 05, 2024 | £0.566 | £0.600 | £0.566 | £0.600 | 1 457 |
Feb 02, 2024 | £0.550 | £0.600 | £0.550 | £0.600 | 630 000 |
Feb 01, 2024 | £0.565 | £0.600 | £0.565 | £0.600 | 100 |
Jan 31, 2024 | £0.600 | £0.600 | £0.600 | £0.600 | 0 |
Jan 30, 2024 | £0.600 | £0.600 | £0.600 | £0.600 | 0 |
Jan 29, 2024 | £0.614 | £0.614 | £0.571 | £0.600 | 85 280 |
Jan 26, 2024 | £0.590 | £0.619 | £0.570 | £0.600 | 738 109 |
Jan 25, 2024 | £0.568 | £0.600 | £0.566 | £0.600 | 382 335 |
Jan 24, 2024 | £0.620 | £0.620 | £0.600 | £0.600 | 892 945 |
Jan 23, 2024 | £0.600 | £0.600 | £0.600 | £0.600 | 0 |
Jan 22, 2024 | £0.566 | £0.600 | £0.566 | £0.600 | 2 845 990 |
Jan 19, 2024 | £0.565 | £0.600 | £0.560 | £0.600 | 678 946 |
Jan 18, 2024 | £0.600 | £0.625 | £0.600 | £0.600 | 1 950 000 |
Jan 17, 2024 | £0.600 | £0.600 | £0.560 | £0.600 | 119 288 |
Jan 16, 2024 | £0.550 | £0.600 | £0.550 | £0.600 | 161 666 |
Jan 15, 2024 | £0.623 | £0.623 | £0.550 | £0.600 | 2 848 159 |
Jan 12, 2024 | £0.549 | £0.600 | £0.549 | £0.600 | 1 057 355 |
Jan 11, 2024 | £0.571 | £0.600 | £0.567 | £0.600 | 534 746 |
Jan 10, 2024 | £0.560 | £0.600 | £0.560 | £0.600 | 192 134 |
Jan 09, 2024 | £0.638 | £0.638 | £0.581 | £0.600 | 37 670 |
Jan 08, 2024 | £0.600 | £0.600 | £0.600 | £0.600 | 0 |
Jan 05, 2024 | £0.625 | £0.650 | £0.600 | £0.600 | 5 610 614 |
Jan 04, 2024 | £0.567 | £0.600 | £0.567 | £0.600 | 52 250 |
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 KP2.L stock historical prices to predict future price movements?
Trend Analysis: Examine the KP2.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 KP2.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.