PAR:ACA
Crédit Agricole S.A. Stock Price (Quote)
13.05€
+0.0600 (+0.462%)
At Close: Jun 18, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 12.70€ | 15.93€ | Tuesday, 18th Jun 2024 ACA.PA stock ended at 13.05€. This is 0.462% more than the trading day before Monday, 17th Jun 2024. During the day the stock fluctuated 2.33% from a day low at 12.89€ to a day high of 13.19€. |
90 days | 12.70€ | 15.93€ | |
52 weeks | 10.22€ | 15.93€ |
Historical Crédit Agricole S.A. prices
Date | Open | High | Low | Close | Volume |
Jul 31, 2023 | 11.30€ | 11.35€ | 11.21€ | 11.29€ | 5 298 767 |
Jul 28, 2023 | 11.15€ | 11.34€ | 11.15€ | 11.33€ | 7 535 400 |
Jul 27, 2023 | 11.19€ | 11.25€ | 11.08€ | 11.15€ | 5 492 608 |
Jul 26, 2023 | 11.15€ | 11.17€ | 11.04€ | 11.13€ | 2 871 939 |
Jul 25, 2023 | 11.21€ | 11.24€ | 11.14€ | 11.17€ | 2 539 556 |
Jul 24, 2023 | 11.06€ | 11.20€ | 11.02€ | 11.20€ | 3 836 924 |
Jul 21, 2023 | 11.13€ | 11.19€ | 11.10€ | 11.12€ | 3 660 098 |
Jul 20, 2023 | 11.12€ | 11.23€ | 11.10€ | 11.12€ | 4 271 772 |
Jul 19, 2023 | 11.10€ | 11.13€ | 11.02€ | 11.12€ | 4 156 377 |
Jul 18, 2023 | 10.98€ | 11.07€ | 10.95€ | 11.04€ | 3 173 180 |
Jul 17, 2023 | 10.94€ | 11.00€ | 10.93€ | 10.97€ | 2 863 444 |
Jul 14, 2023 | 10.97€ | 11.13€ | 10.97€ | 10.99€ | 3 670 260 |
Jul 13, 2023 | 10.90€ | 11.04€ | 10.81€ | 11.00€ | 5 411 086 |
Jul 12, 2023 | 10.78€ | 10.91€ | 10.75€ | 10.87€ | 5 194 860 |
Jul 11, 2023 | 10.61€ | 10.73€ | 10.51€ | 10.73€ | 4 446 481 |
Jul 10, 2023 | 10.58€ | 10.66€ | 10.50€ | 10.60€ | 3 180 932 |
Jul 07, 2023 | 10.52€ | 10.62€ | 10.44€ | 10.59€ | 3 728 768 |
Jul 06, 2023 | 10.72€ | 10.72€ | 10.42€ | 10.49€ | 7 761 449 |
Jul 05, 2023 | 10.81€ | 10.83€ | 10.73€ | 10.82€ | 4 879 939 |
Jul 04, 2023 | 10.96€ | 11.01€ | 10.84€ | 10.87€ | 3 650 070 |
Jul 03, 2023 | 10.90€ | 10.97€ | 10.86€ | 10.93€ | 3 888 850 |
Jun 30, 2023 | 10.82€ | 10.99€ | 10.82€ | 10.87€ | 7 663 744 |
Jun 29, 2023 | 10.67€ | 10.83€ | 10.66€ | 10.80€ | 3 960 745 |
Jun 28, 2023 | 10.63€ | 10.66€ | 10.53€ | 10.65€ | 3 597 304 |
Jun 27, 2023 | 10.53€ | 10.63€ | 10.44€ | 10.60€ | 4 570 440 |
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 ACA.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the ACA.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 ACA.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.