PAR:ML
Compagnie Générale des Établissements Stock Price (Quote)
37.30€
+0.430 (+1.17%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 34.38€ | 37.63€ | Friday, 17th May 2024 ML.PA stock ended at 37.30€. This is 1.17% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.44% from a day low at 36.77€ to a day high of 37.30€. |
90 days | 32.84€ | 37.63€ | |
52 weeks | 25.60€ | 37.63€ |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | 36.83€ | 37.30€ | 36.77€ | 37.30€ | 2 021 852 |
May 16, 2024 | 37.33€ | 37.36€ | 36.71€ | 36.87€ | 1 878 471 |
May 15, 2024 | 37.49€ | 37.57€ | 37.24€ | 37.33€ | 1 298 726 |
May 14, 2024 | 37.50€ | 37.56€ | 37.11€ | 37.42€ | 1 261 914 |
May 13, 2024 | 37.12€ | 37.63€ | 37.04€ | 37.44€ | 1 325 086 |
May 10, 2024 | 37.40€ | 37.59€ | 37.04€ | 37.12€ | 1 576 222 |
May 09, 2024 | 37.26€ | 37.42€ | 37.20€ | 37.33€ | 721 298 |
May 08, 2024 | 37.16€ | 37.33€ | 36.89€ | 37.23€ | 1 034 001 |
May 07, 2024 | 36.92€ | 37.35€ | 36.83€ | 37.13€ | 1 375 203 |
May 06, 2024 | 36.29€ | 37.01€ | 36.23€ | 36.83€ | 863 420 |
May 03, 2024 | 36.79€ | 36.79€ | 36.38€ | 36.38€ | 1 037 382 |
May 02, 2024 | 36.16€ | 36.80€ | 36.07€ | 36.52€ | 1 475 916 |
Apr 30, 2024 | 36.32€ | 36.71€ | 35.93€ | 36.18€ | 2 485 899 |
Apr 29, 2024 | 35.73€ | 36.48€ | 35.73€ | 36.32€ | 1 322 178 |
Apr 26, 2024 | 35.94€ | 36.06€ | 35.58€ | 35.62€ | 1 647 581 |
Apr 25, 2024 | 35.67€ | 36.07€ | 35.40€ | 35.84€ | 1 649 214 |
Apr 24, 2024 | 36.12€ | 36.28€ | 35.67€ | 35.99€ | 1 422 871 |
Apr 23, 2024 | 35.52€ | 36.13€ | 35.49€ | 36.02€ | 1 576 859 |
Apr 22, 2024 | 35.40€ | 35.59€ | 35.22€ | 35.43€ | 1 116 822 |
Apr 19, 2024 | 34.75€ | 35.45€ | 34.60€ | 35.32€ | 1 241 912 |
Apr 18, 2024 | 34.43€ | 35.02€ | 34.43€ | 35.00€ | 1 446 238 |
Apr 17, 2024 | 34.42€ | 34.84€ | 34.38€ | 34.40€ | 1 443 232 |
Apr 16, 2024 | 34.53€ | 34.59€ | 34.28€ | 34.59€ | 1 510 455 |
Apr 15, 2024 | 35.00€ | 35.34€ | 34.91€ | 34.96€ | 1 057 182 |
Apr 12, 2024 | 35.31€ | 35.56€ | 34.81€ | 34.86€ | 1 006 667 |
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 ML.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the ML.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 ML.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.