XLON:CWR
Ceres Power Holdings Plc Stock Price (Quote)
£230.00
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £160.10 | £230.00 | Thursday, 30th May 2024 CWR.L stock ended at £230.00. During the day the stock fluctuated 0% from a day low at £230.00 to a day high of £230.00. |
90 days | £126.40 | £230.00 | |
52 weeks | £126.40 | £444.80 |
Historical Ceres Power Holdings Plc prices
Date | Open | High | Low | Close | Volume |
Mar 30, 2017 | £8.62 | £8.62 | £8.62 | £8.62 | 206 376 |
Mar 29, 2017 | £8.58 | £8.58 | £8.58 | £8.58 | 2 913 |
Mar 28, 2017 | £8.50 | £8.50 | £8.30 | £8.52 | 429 197 |
Mar 27, 2017 | £8.50 | £8.50 | £8.50 | £8.50 | 12 315 |
Mar 24, 2017 | £8.26 | £8.60 | £8.26 | £8.30 | 298 656 |
Mar 23, 2017 | £8.60 | £8.60 | £8.60 | £8.87 | 247 580 |
Mar 22, 2017 | £8.75 | £8.75 | £8.66 | £8.82 | 200 475 |
Mar 21, 2017 | £8.95 | £9.05 | £8.50 | £8.50 | 786 215 |
Mar 20, 2017 | £8.95 | £8.95 | £8.90 | £8.92 | 266 037 |
Mar 17, 2017 | £8.70 | £8.70 | £8.70 | £8.87 | 210 479 |
Mar 16, 2017 | £8.98 | £8.98 | £8.98 | £8.98 | 33 018 |
Mar 15, 2017 | £9.03 | £9.03 | £9.03 | £9.03 | 38 057 |
Mar 14, 2017 | £8.85 | £8.85 | £8.70 | £8.92 | 5 964 369 |
Mar 13, 2017 | £9.24 | £9.24 | £8.80 | £8.92 | 249 234 |
Mar 10, 2017 | £8.67 | £8.93 | £8.66 | £8.93 | 498 875 |
Mar 09, 2017 | £8.60 | £9.40 | £8.60 | £8.92 | 730 250 |
Mar 08, 2017 | £8.70 | £9.07 | £8.50 | £8.90 | 646 309 |
Mar 07, 2017 | £8.75 | £8.75 | £8.75 | £8.75 | 283 151 |
Mar 06, 2017 | £8.51 | £8.75 | £8.50 | £8.75 | 118 487 |
Mar 03, 2017 | £8.50 | £8.63 | £8.50 | £8.63 | 267 684 |
Mar 02, 2017 | £8.60 | £8.73 | £8.60 | £8.73 | 258 984 |
Mar 01, 2017 | £8.60 | £8.80 | £8.60 | £8.80 | 52 506 |
Feb 28, 2017 | £8.60 | £8.73 | £8.50 | £8.73 | 135 623 |
Feb 27, 2017 | £8.75 | £8.75 | £8.41 | £8.70 | 350 893 |
Feb 24, 2017 | £8.75 | £8.75 | £8.75 | £8.75 | 70 157 |
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 CWR.L stock historical prices to predict future price movements?
Trend Analysis: Examine the CWR.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 CWR.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.