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 |
Date | Open | High | Low | Close | Volume |
Nov 25, 2019 | £0.0140 | £0.0140 | £0.0130 | £0.0135 | 808 571 |
Nov 22, 2019 | £0.0133 | £0.0134 | £0.0131 | £0.0133 | 546 706 |
Nov 21, 2019 | £0.0133 | £0.0134 | £0.0131 | £0.0133 | 4 526 092 |
Nov 20, 2019 | £0.0135 | £0.0136 | £0.0132 | £0.0133 | 914 158 |
Nov 19, 2019 | £0.0138 | £0.0137 | £0.0130 | £0.0135 | 4 531 697 |
Nov 18, 2019 | £0.0138 | £0.0140 | £0.0135 | £0.0138 | 4 672 467 |
Nov 15, 2019 | £0.0138 | £0.0138 | £0.0135 | £0.0138 | 1 324 960 |
Nov 14, 2019 | £0.0140 | £0.0140 | £0.0135 | £0.0138 | 4 570 474 |
Nov 13, 2019 | £0.0140 | £0.0141 | £0.0135 | £0.0140 | 651 329 |
Nov 12, 2019 | £0.0140 | £0.0141 | £0.0139 | £0.0140 | 2 590 500 |
Nov 11, 2019 | £0.0138 | £0.0143 | £0.0138 | £0.0140 | 2 906 868 |
Nov 08, 2019 | £0.0140 | £0.0140 | £0.0139 | £0.0138 | 2 879 213 |
Nov 07, 2019 | £0.0140 | £0.0142 | £0.0136 | £0.0140 | 4 882 139 |
Nov 06, 2019 | £0.0143 | £0.0141 | £0.0140 | £0.0140 | 611 397 |
Nov 05, 2019 | £0.0143 | £0.0140 | £0.0140 | £0.0143 | 29 347 |
Nov 04, 2019 | £0.0143 | £0.0141 | £0.0138 | £0.0143 | 2 620 947 |
Nov 01, 2019 | £0.0143 | £0.0142 | £0.0136 | £0.0143 | 2 005 341 |
Oct 31, 2019 | £0.0143 | £0.0142 | £0.0140 | £0.0143 | 999 057 |
Oct 30, 2019 | £0.0148 | £0.0150 | £0.0137 | £0.0143 | 6 872 185 |
Oct 29, 2019 | £0.0153 | £0.0154 | £0.0147 | £0.0153 | 883 351 |
Oct 28, 2019 | £0.0153 | £0.0155 | £0.0147 | £0.0153 | 1 279 576 |
Oct 25, 2019 | £0.0153 | £0.0154 | £0.0150 | £0.0153 | 840 068 |
Oct 24, 2019 | £0.0153 | £0.0154 | £0.0154 | £0.0153 | 294 313 |
Oct 23, 2019 | £0.0153 | £0.0154 | £0.0150 | £0.0153 | 25 000 |
Oct 22, 2019 | £0.0153 | £0.0153 | £0.0150 | £0.0153 | 1 684 358 |
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.