XLON:CHG
Chemring Group PLC Stock Price (Quote)
£391.50
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £375.00 | £412.14 | Thursday, 30th May 2024 CHG.L stock ended at £391.50. During the day the stock fluctuated 0% from a day low at £391.50 to a day high of £391.50. |
90 days | £325.24 | £412.14 | |
52 weeks | £253.95 | £412.14 |
Historical Chemring Group PLC prices
Date | Open | High | Low | Close | Volume |
Nov 01, 2017 | £1.72 | £1.74 | £1.70 | £1.70 | 64 382 |
Oct 31, 2017 | £1.75 | £1.75 | £1.70 | £1.73 | 83 525 |
Oct 30, 2017 | £1.72 | £1.77 | £1.69 | £1.75 | 250 295 |
Oct 27, 2017 | £1.70 | £1.71 | £1.69 | £1.70 | 374 335 |
Oct 26, 2017 | £1.71 | £1.72 | £1.70 | £1.71 | 104 989 |
Oct 25, 2017 | £1.75 | £1.75 | £1.69 | £1.71 | 161 000 |
Oct 24, 2017 | £1.69 | £1.75 | £1.69 | £1.71 | 156 345 |
Oct 23, 2017 | £1.75 | £1.75 | £1.71 | £1.74 | 196 460 |
Oct 20, 2017 | £1.73 | £1.76 | £1.71 | £1.76 | 132 183 |
Oct 19, 2017 | £1.81 | £1.84 | £1.70 | £1.74 | 134 420 |
Oct 18, 2017 | £1.77 | £1.77 | £1.70 | £1.73 | 2 107 243 |
Oct 17, 2017 | £1.78 | £1.78 | £1.75 | £1.76 | 131 915 |
Oct 16, 2017 | £1.77 | £1.78 | £1.75 | £1.77 | 3 320 521 |
Oct 13, 2017 | £1.75 | £1.79 | £1.75 | £1.75 | 245 948 |
Oct 12, 2017 | £1.77 | £1.78 | £1.73 | £1.77 | 132 285 |
Oct 11, 2017 | £1.75 | £1.78 | £1.72 | £1.75 | 396 206 |
Oct 10, 2017 | £1.85 | £1.85 | £1.77 | £1.78 | 133 732 |
Oct 09, 2017 | £1.80 | £1.80 | £1.76 | £1.78 | 307 749 |
Oct 06, 2017 | £1.78 | £1.83 | £1.77 | £1.79 | 2 375 116 |
Oct 05, 2017 | £1.62 | £1.72 | £1.62 | £1.72 | 89 381 |
Oct 04, 2017 | £1.77 | £1.78 | £1.62 | £1.70 | 421 432 |
Oct 03, 2017 | £1.81 | £1.81 | £1.76 | £1.77 | 105 834 |
Oct 02, 2017 | £1.84 | £1.84 | £1.79 | £1.80 | 415 217 |
Sep 29, 2017 | £1.80 | £1.82 | £1.79 | £1.80 | 707 120 |
Sep 28, 2017 | £1.80 | £1.84 | £1.80 | £1.81 | 181 616 |
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 CHG.L stock historical prices to predict future price movements?
Trend Analysis: Examine the CHG.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 CHG.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.