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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.

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.

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.

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.
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