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 |
Historical Ncondezi Energy Limited prices
Date | Open | High | Low | Close | Volume |
Mar 22, 2017 | £8.00 | £8.00 | £7.88 | £7.88 | 292 784 |
Mar 21, 2017 | £7.75 | £8.00 | £7.75 | £8.00 | 329 034 |
Mar 20, 2017 | £8.25 | £8.25 | £7.75 | £7.75 | 703 509 |
Mar 17, 2017 | £8.25 | £8.25 | £8.25 | £8.25 | 487 449 |
Mar 16, 2017 | £8.25 | £8.38 | £8.25 | £8.25 | 629 157 |
Mar 15, 2017 | £9.00 | £9.00 | £8.25 | £8.25 | 193 824 |
Mar 14, 2017 | £9.00 | £9.00 | £9.00 | £9.00 | 299 882 |
Mar 13, 2017 | £8.25 | £9.25 | £8.13 | £9.00 | 783 681 |
Mar 10, 2017 | £8.50 | £8.50 | £8.13 | £8.25 | 759 774 |
Mar 09, 2017 | £9.13 | £9.13 | £8.38 | £8.50 | 421 648 |
Mar 08, 2017 | £8.63 | £9.25 | £8.63 | £9.13 | 526 481 |
Mar 07, 2017 | £8.75 | £8.75 | £8.13 | £8.63 | 367 787 |
Mar 06, 2017 | £8.75 | £8.75 | £8.75 | £8.75 | 235 000 |
Mar 03, 2017 | £8.75 | £8.75 | £8.75 | £8.75 | 132 395 |
Mar 02, 2017 | £8.63 | £8.75 | £8.25 | £8.75 | 394 674 |
Mar 01, 2017 | £8.88 | £8.88 | £8.63 | £8.63 | 246 544 |
Feb 28, 2017 | £9.13 | £9.50 | £8.88 | £8.88 | 5 116 572 |
Feb 27, 2017 | £9.50 | £9.50 | £9.00 | £9.00 | 589 287 |
Feb 24, 2017 | £9.75 | £9.75 | £9.50 | £9.50 | 331 759 |
Feb 23, 2017 | £9.25 | £10.00 | £9.25 | £9.75 | 1 087 941 |
Feb 22, 2017 | £9.13 | £9.25 | £8.63 | £9.25 | 750 039 |
Feb 21, 2017 | £9.38 | £9.38 | £8.75 | £9.13 | 1 058 484 |
Feb 20, 2017 | £10.25 | £11.25 | £9.38 | £9.38 | 2 576 253 |
Feb 17, 2017 | £7.50 | £11.50 | £7.50 | £9.88 | 5 430 009 |
Feb 16, 2017 | £7.00 | £7.88 | £7.00 | £7.50 | 857 227 |
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.