XLON:NCCL
Delisted
Ncondezi Energy Limited Stock Price (Quote)
£0.83
+0 (+0%)
At Close: May 26, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.83 | £0.83 | Friday, 26th May 2023 NCCL.L stock ended at £0.83. During the day the stock fluctuated 0% from a day low at £0.83 to a day high of £0.83. |
90 days | £0.81 | £0.85 | |
52 weeks | £0.600 | £1.90 |
Date | Open | High | Low | Close | Volume |
Apr 20, 2022 | £0.722 | £0.796 | £0.722 | £0.796 | 170 383 |
Apr 19, 2022 | £0.756 | £0.775 | £0.756 | £0.775 | 82 500 |
Apr 14, 2022 | £0.750 | £0.84 | £0.750 | £0.775 | 476 371 |
Apr 13, 2022 | £0.84 | £0.84 | £0.746 | £0.775 | 1 043 122 |
Apr 12, 2022 | £0.84 | £0.84 | £0.728 | £0.775 | 651 545 |
Apr 11, 2022 | £0.729 | £0.84 | £0.729 | £0.775 | 302 916 |
Apr 08, 2022 | £0.725 | £0.84 | £0.725 | £0.775 | 571 812 |
Apr 07, 2022 | £0.732 | £0.83 | £0.724 | £0.775 | 419 002 |
Apr 06, 2022 | £0.790 | £0.85 | £0.700 | £0.775 | 66 055 |
Apr 05, 2022 | £0.750 | £0.88 | £0.600 | £0.750 | 2 220 844 |
Apr 04, 2022 | £0.651 | £0.747 | £0.605 | £0.675 | 181 881 |
Apr 01, 2022 | £0.630 | £0.750 | £0.630 | £0.700 | 981 565 |
Mar 31, 2022 | £0.84 | £0.84 | £0.600 | £0.80 | 1 605 092 |
Mar 30, 2022 | £0.513 | £0.95 | £0.513 | £0.80 | 6 775 212 |
Mar 29, 2022 | £0.675 | £0.700 | £0.478 | £0.525 | 2 701 437 |
Mar 28, 2022 | £0.750 | £0.779 | £0.670 | £0.675 | 714 267 |
Mar 25, 2022 | £0.750 | £0.790 | £0.750 | £0.750 | 159 281 |
Mar 24, 2022 | £0.85 | £0.90 | £0.710 | £0.750 | 616 839 |
Mar 23, 2022 | £0.85 | £0.87 | £0.81 | £0.85 | 453 099 |
Mar 22, 2022 | £0.85 | £0.88 | £0.81 | £0.85 | 583 460 |
Mar 21, 2022 | £0.85 | £1.00 | £0.81 | £0.85 | 594 621 |
Mar 18, 2022 | £0.85 | £0.85 | £0.85 | £0.85 | 102 418 |
Mar 17, 2022 | £0.85 | £0.85 | £0.85 | £0.85 | 0 |
Mar 16, 2022 | £0.90 | £0.90 | £0.80 | £0.85 | 1 343 878 |
Mar 15, 2022 | £0.90 | £0.92 | £0.90 | £0.90 | 37 000 |
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 NCCL.L stock historical prices to predict future price movements?
Trend Analysis: Examine the NCCL.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 NCCL.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.