XLON:CNA
Cna Financial Corp Stock Price (Quote)
£142.25
+1.05 (+0.744%)
At Close: Jun 04, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | £130.00 | £149.00 | Tuesday, 4th Jun 2024 CNA.L stock ended at £142.25. This is 0.744% more than the trading day before Monday, 3rd Jun 2024. During the day the stock fluctuated 2.97% from a day low at £138.20 to a day high of £142.30. |
90 days | £123.80 | £149.00 | |
52 weeks | £115.05 | £173.70 |
Historical Cna Financial Corp prices
Date | Open | High | Low | Close | Volume |
Jun 22, 2016 | £214.90 | £215.10 | £212.10 | £213.20 | 24 238 323 |
Jun 21, 2016 | £214.00 | £215.70 | £212.20 | £213.70 | 16 967 580 |
Jun 20, 2016 | £208.50 | £215.60 | £206.50 | £215.50 | 23 477 977 |
Jun 17, 2016 | £202.50 | £204.80 | £201.70 | £203.60 | 42 766 187 |
Jun 16, 2016 | £199.30 | £202.60 | £199.00 | £201.20 | 14 093 566 |
Jun 15, 2016 | £199.60 | £203.90 | £198.80 | £201.60 | 17 471 239 |
Jun 14, 2016 | £204.10 | £204.70 | £198.10 | £198.30 | 26 753 965 |
Jun 13, 2016 | £201.00 | £203.60 | £200.40 | £201.90 | 15 927 240 |
Jun 10, 2016 | £207.80 | £207.80 | £202.10 | £202.90 | 18 347 852 |
Jun 09, 2016 | £210.80 | £211.70 | £207.20 | £207.90 | 22 080 543 |
Jun 08, 2016 | £205.00 | £211.90 | £204.90 | £211.20 | 20 045 744 |
Jun 07, 2016 | £204.00 | £206.00 | £201.90 | £206.00 | 18 648 320 |
Jun 06, 2016 | £202.70 | £205.50 | £201.80 | £204.00 | 14 105 311 |
Jun 03, 2016 | £201.20 | £203.00 | £200.50 | £202.10 | 17 239 859 |
Jun 02, 2016 | £202.60 | £202.90 | £200.90 | £200.90 | 31 254 494 |
Jun 01, 2016 | £202.80 | £203.10 | £201.10 | £202.00 | 17 255 470 |
May 31, 2016 | £207.10 | £207.10 | £202.80 | £203.80 | 24 238 038 |
May 27, 2016 | £205.30 | £205.30 | £205.30 | £205.30 | 0 |
May 26, 2016 | £206.30 | £206.90 | £204.30 | £206.40 | 12 476 778 |
May 25, 2016 | £205.20 | £206.70 | £204.40 | £205.80 | 17 715 338 |
May 24, 2016 | £201.50 | £203.50 | £201.40 | £203.10 | 12 583 091 |
May 23, 2016 | £201.70 | £203.20 | £200.40 | £203.00 | 28 351 441 |
May 20, 2016 | £200.80 | £203.50 | £199.80 | £201.50 | 13 765 003 |
May 19, 2016 | £200.20 | £201.10 | £198.50 | £198.70 | 15 461 689 |
May 18, 2016 | £202.20 | £202.90 | £200.30 | £201.70 | 15 396 512 |
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 CNA.L stock historical prices to predict future price movements?
Trend Analysis: Examine the CNA.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 CNA.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.