XLON:CNEL
Delisted
China New Energy Ltd Stock Price (Quote)
£0.0700
+0 (+0%)
At Close: Sep 07, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £0.0700 | £0.0700 | Monday, 7th Sep 2020 CNEL.L stock ended at £0.0700. During the day the stock fluctuated 0% from a day low at £0.0700 to a day high of £0.0700. |
90 days | £0.0300 | £0.120 | |
52 weeks | £0.0180 | £0.120 |
Historical China New Energy Ltd prices
Date | Open | High | Low | Close | Volume |
Apr 06, 2017 | £1.18 | £1.20 | £1.18 | £1.20 | 1 323 044 |
Apr 05, 2017 | £1.23 | £1.23 | £1.18 | £1.18 | 1 977 621 |
Apr 04, 2017 | £1.23 | £1.23 | £1.23 | £1.23 | 665 502 |
Apr 03, 2017 | £1.23 | £1.23 | £1.23 | £1.23 | 1 120 645 |
Mar 31, 2017 | £1.25 | £1.25 | £1.23 | £1.23 | 1 381 705 |
Mar 30, 2017 | £1.35 | £1.35 | £1.23 | £1.25 | 5 312 396 |
Mar 29, 2017 | £1.18 | £1.70 | £1.18 | £1.35 | 29 673 269 |
Mar 28, 2017 | £1.18 | £1.18 | £1.18 | £1.18 | 153 980 |
Mar 27, 2017 | £1.23 | £1.23 | £1.18 | £1.18 | 1 117 552 |
Mar 24, 2017 | £1.23 | £1.23 | £1.23 | £1.23 | 140 276 |
Mar 23, 2017 | £1.23 | £1.23 | £1.23 | £1.23 | 403 380 |
Mar 22, 2017 | £1.23 | £1.23 | £1.18 | £1.23 | 1 646 745 |
Mar 21, 2017 | £1.23 | £1.23 | £1.23 | £1.23 | 639 371 |
Mar 20, 2017 | £1.28 | £1.28 | £1.20 | £1.23 | 972 540 |
Mar 17, 2017 | £1.28 | £1.28 | £1.28 | £1.28 | 418 680 |
Mar 16, 2017 | £1.38 | £1.55 | £1.23 | £1.28 | 12 638 612 |
Mar 15, 2017 | £1.33 | £1.33 | £1.28 | £1.28 | 788 440 |
Mar 14, 2017 | £1.23 | £1.45 | £1.23 | £1.33 | 6 233 210 |
Mar 13, 2017 | £1.23 | £1.23 | £1.23 | £1.23 | 1 067 513 |
Mar 10, 2017 | £1.23 | £1.23 | £1.23 | £1.23 | 0 |
Mar 09, 2017 | £1.23 | £1.23 | £1.23 | £1.23 | 200 000 |
Mar 08, 2017 | £1.23 | £1.23 | £1.23 | £1.23 | 0 |
Mar 07, 2017 | £1.23 | £1.23 | £1.23 | £1.23 | 130 000 |
Mar 06, 2017 | £1.23 | £1.23 | £1.23 | £1.23 | 300 000 |
Mar 03, 2017 | £1.23 | £1.23 | £1.23 | £1.23 | 0 |
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 CNEL.L stock historical prices to predict future price movements?
Trend Analysis: Examine the CNEL.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 CNEL.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.