XLON:CLNR
Delisted
Cluff Natural Resources Plc Stock Price (Quote)
£0.0100
+0 (+0%)
At Close: Sep 07, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.0100 | £0.0100 | Monday, 7th Sep 2020 CLNR.L stock ended at £0.0100. During the day the stock fluctuated 0% from a day low at £0.0100 to a day high of £0.0100. |
90 days | £0.0100 | £0.0100 | |
52 weeks | £0.0055 | £0.0169 |
Historical Cluff Natural Resources Plc prices
Date | Open | High | Low | Close | Volume |
Jul 08, 2019 | £0.0173 | £0.0177 | £0.0173 | £0.0175 | 2 010 742 |
Jul 05, 2019 | £0.0173 | £0.0175 | £0.0174 | £0.0173 | 1 756 731 |
Jul 04, 2019 | £0.0173 | £0.0175 | £0.0173 | £0.0173 | 919 099 |
Jul 03, 2019 | £0.0170 | £0.0180 | £0.0169 | £0.0173 | 12 188 404 |
Jul 02, 2019 | £0.0168 | £0.0171 | £0.0166 | £0.0170 | 5 956 504 |
Jul 01, 2019 | £0.0173 | £0.0179 | £0.0165 | £0.0168 | 14 122 725 |
Jun 28, 2019 | £0.0168 | £0.0174 | £0.0165 | £0.0170 | 7 299 937 |
Jun 27, 2019 | £0.0168 | £0.0169 | £0.0166 | £0.0168 | 1 535 537 |
Jun 26, 2019 | £0.0170 | £0.0170 | £0.0165 | £0.0168 | 4 466 475 |
Jun 25, 2019 | £0.0170 | £0.0170 | £0.0166 | £0.0170 | 4 983 658 |
Jun 24, 2019 | £0.0173 | £0.0171 | £0.0166 | £0.0170 | 2 553 016 |
Jun 21, 2019 | £0.0173 | £0.0171 | £0.0170 | £0.0173 | 809 555 |
Jun 20, 2019 | £0.0173 | £0.0172 | £0.0170 | £0.0173 | 1 062 170 |
Jun 19, 2019 | £0.0173 | £0.0174 | £0.0165 | £0.0173 | 11 241 328 |
Jun 18, 2019 | £0.0173 | £0.0172 | £0.0170 | £0.0173 | 589 406 |
Jun 17, 2019 | £0.0173 | £0.0175 | £0.0170 | £0.0173 | 3 169 466 |
Jun 14, 2019 | £0.0173 | £0.0174 | £0.0172 | £0.0173 | 2 714 666 |
Jun 13, 2019 | £0.0177 | £0.0177 | £0.0171 | £0.0173 | 11 508 613 |
Jun 12, 2019 | £0.0177 | £0.0179 | £0.0175 | £0.0177 | 2 388 557 |
Jun 11, 2019 | £0.0177 | £0.0180 | £0.0176 | £0.0177 | 3 247 039 |
Jun 10, 2019 | £0.0185 | £0.0181 | £0.0175 | £0.0177 | 4 560 138 |
Jun 07, 2019 | £0.0185 | £0.0184 | £0.0181 | £0.0185 | 3 419 307 |
Jun 06, 2019 | £0.0188 | £0.0187 | £0.0180 | £0.0185 | 11 057 435 |
Jun 05, 2019 | £0.0205 | £0.0217 | £0.0200 | £0.0210 | 2 485 677 |
Jun 04, 2019 | £0.0205 | £0.0210 | £0.0200 | £0.0205 | 356 591 |
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 CLNR.L stock historical prices to predict future price movements?
Trend Analysis: Examine the CLNR.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 CLNR.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.