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Range Low Price High Price Comment
30 days 30.50€ 34.97€ Friday, 17th May 2024 CS.PA stock ended at 33.69€. This is 0.417% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0.87% from a day low at 33.49€ to a day high of 33.78€.
90 days 30.50€ 35.19€
52 weeks 25.21€ 35.19€

Historical AXA SA prices

Date Open High Low Close Volume
Nov 16, 2023 27.89€ 28.11€ 27.87€ 27.98€ 2 445 344
Nov 15, 2023 28.17€ 28.23€ 27.87€ 27.87€ 2 823 127
Nov 14, 2023 28.15€ 28.30€ 27.95€ 28.12€ 3 295 408
Nov 13, 2023 27.78€ 28.15€ 27.76€ 28.05€ 2 954 150
Nov 10, 2023 27.69€ 28.02€ 27.57€ 27.73€ 3 383 021
Nov 09, 2023 27.73€ 27.76€ 27.38€ 27.68€ 2 601 076
Nov 08, 2023 27.18€ 27.81€ 27.04€ 27.72€ 2 652 188
Nov 07, 2023 27.62€ 27.77€ 27.33€ 27.43€ 3 280 959
Nov 06, 2023 28.23€ 28.27€ 27.72€ 27.83€ 3 152 279
Nov 03, 2023 28.59€ 28.62€ 27.27€ 28.17€ 5 804 107
Nov 02, 2023 28.42€ 28.73€ 28.35€ 28.52€ 3 544 088
Nov 01, 2023 28.03€ 28.35€ 27.92€ 28.29€ 2 568 831
Oct 31, 2023 28.00€ 28.06€ 27.88€ 27.96€ 2 711 526
Oct 30, 2023 27.57€ 28.00€ 27.53€ 27.84€ 2 314 200
Oct 27, 2023 27.72€ 27.87€ 27.44€ 27.46€ 2 276 444
Oct 26, 2023 27.38€ 27.58€ 27.09€ 27.52€ 2 482 794
Oct 25, 2023 27.36€ 27.66€ 27.28€ 27.59€ 2 998 088
Oct 24, 2023 27.35€ 27.41€ 27.14€ 27.34€ 2 313 079
Oct 23, 2023 27.30€ 27.31€ 26.97€ 27.25€ 2 350 982
Oct 20, 2023 27.59€ 27.63€ 27.13€ 27.16€ 4 409 845
Oct 19, 2023 27.95€ 27.96€ 27.59€ 27.88€ 2 712 189
Oct 18, 2023 28.41€ 28.46€ 28.04€ 28.16€ 2 151 088
Oct 17, 2023 28.03€ 28.30€ 28.01€ 28.28€ 2 271 309
Oct 16, 2023 28.19€ 28.33€ 27.98€ 28.02€ 1 972 416
Oct 13, 2023 28.33€ 28.50€ 27.83€ 28.01€ 3 212 409

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.

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.

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.

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.
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About AXA SA

AXA SA AXA SA, through its subsidiaries, provides insurance, asset management, and banking services worldwide. The company operates through France, Europe, Asia, AXA XL, International, and Transversal & Central Holdings segments. It offers life and savings insurance products, such as savings and retirement, other health, and personal protection products. The company also provides property and casualty insurance products, including car, home, and persona... CS.PA Profile

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