PAR:CS
AXA SA Stock Price (Quote)
33.05€
-0.0300 (-0.0907%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 30.50€ | 34.11€ | Friday, 31st May 2024 CS.PA stock ended at 33.05€. This is 0.0907% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 1.24% from a day low at 33.05€ to a day high of 33.46€. |
90 days | 30.50€ | 35.19€ | |
52 weeks | 25.21€ | 35.19€ |
Historical AXA SA prices
Date | Open | High | Low | Close | Volume |
Mar 27, 2023 | 27.18€ | 27.36€ | 26.94€ | 26.96€ | 6 286 252 |
Mar 24, 2023 | 27.16€ | 27.16€ | 26.26€ | 26.64€ | 8 981 987 |
Mar 23, 2023 | 27.50€ | 27.56€ | 26.91€ | 27.23€ | 5 827 368 |
Mar 22, 2023 | 27.60€ | 27.80€ | 27.44€ | 27.50€ | 4 130 432 |
Mar 21, 2023 | 27.25€ | 27.84€ | 27.07€ | 27.72€ | 7 504 501 |
Mar 20, 2023 | 25.56€ | 26.88€ | 24.60€ | 26.61€ | 13 105 490 |
Mar 17, 2023 | 27.19€ | 27.51€ | 25.94€ | 25.97€ | 17 168 117 |
Mar 16, 2023 | 27.20€ | 27.21€ | 26.19€ | 26.85€ | 10 512 854 |
Mar 15, 2023 | 27.73€ | 27.84€ | 26.01€ | 26.29€ | 11 818 534 |
Mar 14, 2023 | 27.48€ | 28.04€ | 27.11€ | 27.72€ | 8 070 370 |
Mar 13, 2023 | 29.23€ | 29.24€ | 27.50€ | 27.68€ | 12 067 943 |
Mar 10, 2023 | 29.45€ | 29.54€ | 29.07€ | 29.41€ | 7 264 808 |
Mar 09, 2023 | 30.16€ | 30.34€ | 30.00€ | 30.10€ | 3 986 937 |
Mar 08, 2023 | 29.89€ | 30.30€ | 29.85€ | 30.17€ | 4 167 264 |
Mar 07, 2023 | 30.07€ | 30.22€ | 29.95€ | 29.95€ | 3 851 970 |
Mar 06, 2023 | 30.00€ | 30.16€ | 29.90€ | 30.11€ | 4 378 022 |
Mar 03, 2023 | 29.63€ | 29.96€ | 29.49€ | 29.89€ | 4 102 961 |
Mar 02, 2023 | 29.69€ | 29.98€ | 29.55€ | 29.67€ | 4 158 525 |
Mar 01, 2023 | 29.94€ | 30.21€ | 29.65€ | 29.77€ | 4 757 287 |
Feb 28, 2023 | 29.27€ | 30.23€ | 29.23€ | 29.85€ | 9 225 258 |
Feb 27, 2023 | 28.64€ | 29.59€ | 28.60€ | 29.38€ | 6 389 869 |
Feb 24, 2023 | 28.91€ | 28.99€ | 28.25€ | 28.41€ | 6 538 818 |
Feb 23, 2023 | 28.00€ | 29.09€ | 27.98€ | 28.71€ | 8 828 745 |
Feb 22, 2023 | 28.00€ | 28.06€ | 27.60€ | 27.81€ | 3 723 912 |
Feb 21, 2023 | 28.28€ | 28.36€ | 27.96€ | 28.11€ | 2 785 380 |
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 CS.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the CS.PA 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 CS.PA 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.