XLON:CUSN
Cornish Metals Inc. Stock Price (Quote)
£6.70
+0 (+0%)
At Close: Jun 27, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £6.30 | £7.70 | Thursday, 27th Jun 2024 CUSN.L stock ended at £6.70. During the day the stock fluctuated 0% from a day low at £6.70 to a day high of £6.70. |
90 days | £5.56 | £12.25 | |
52 weeks | £5.56 | £1,050.00 |
Historical Cornish Metals Inc. prices
Date | Open | High | Low | Close | Volume |
Jun 27, 2024 | £6.70 | £6.70 | £6.70 | £6.70 | 0 |
Jun 26, 2024 | £6.70 | £6.70 | £6.70 | £6.70 | 0 |
Jun 25, 2024 | £6.70 | £6.90 | £6.51 | £6.70 | 112 776 |
Jun 21, 2024 | £6.90 | £6.90 | £6.50 | £6.70 | 159 995 |
Jun 20, 2024 | £6.70 | £6.75 | £6.50 | £6.70 | 270 648 |
Jun 19, 2024 | £6.90 | £6.90 | £6.90 | £6.90 | 0 |
Jun 18, 2024 | £6.88 | £7.00 | £6.70 | £6.70 | 606 687 |
Jun 17, 2024 | £6.79 | £7.00 | £6.40 | £6.90 | 438 138 |
Jun 14, 2024 | £6.50 | £6.69 | £6.40 | £6.50 | 497 317 |
Jun 13, 2024 | £6.70 | £6.84 | £6.30 | £6.55 | 575 520 |
Jun 12, 2024 | £6.80 | £6.80 | £6.50 | £6.60 | 629 456 |
Jun 11, 2024 | £7.18 | £7.20 | £6.80 | £6.85 | 2 005 936 |
Jun 10, 2024 | £7.20 | £7.44 | £7.00 | £7.10 | 456 437 |
Jun 06, 2024 | £7.24 | £7.30 | £7.13 | £7.20 | 1 062 048 |
Jun 05, 2024 | £7.18 | £7.34 | £7.00 | £7.20 | 1 338 605 |
Jun 04, 2024 | £7.64 | £7.70 | £7.30 | £7.60 | 1 682 918 |
Jun 03, 2024 | £7.30 | £7.70 | £7.20 | £7.60 | 1 658 692 |
May 31, 2024 | £7.32 | £7.40 | £7.26 | £7.30 | 503 518 |
May 30, 2024 | £7.17 | £7.50 | £7.00 | £7.30 | 905 140 |
May 29, 2024 | £7.05 | £7.50 | £6.80 | £7.20 | 3 576 195 |
May 28, 2024 | £6.43 | £7.20 | £6.40 | £6.90 | 4 890 241 |
May 24, 2024 | £6.30 | £6.50 | £6.10 | £6.45 | 3 881 422 |
May 23, 2024 | £6.50 | £6.70 | £6.08 | £6.64 | 2 528 131 |
May 22, 2024 | £6.76 | £7.00 | £6.40 | £6.70 | 2 843 048 |
May 21, 2024 | £6.55 | £6.70 | £6.21 | £6.60 | 2 664 285 |
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 CUSN.L stock historical prices to predict future price movements?
Trend Analysis: Examine the CUSN.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 CUSN.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.