PAR:SU
Schneider Electric S.E. Stock Price (Quote)
229.15€
-3.70 (-1.59%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 204.55€ | 239.00€ | Friday, 17th May 2024 SU.PA stock ended at 229.15€. This is 1.59% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.11% from a day low at 227.55€ to a day high of 232.35€. |
90 days | 199.18€ | 239.00€ | |
52 weeks | 134.38€ | 239.00€ |
Date | Open | High | Low | Close | Volume |
Aug 03, 2023 | 159.94€ | 161.20€ | 159.44€ | 159.94€ | 783 137 |
Aug 02, 2023 | 158.96€ | 162.52€ | 158.48€ | 162.12€ | 1 137 835 |
Aug 01, 2023 | 161.90€ | 162.06€ | 160.42€ | 160.66€ | 523 865 |
Jul 31, 2023 | 162.80€ | 163.32€ | 161.14€ | 162.04€ | 760 600 |
Jul 28, 2023 | 162.54€ | 164.00€ | 160.52€ | 162.14€ | 937 884 |
Jul 27, 2023 | 160.22€ | 165.32€ | 156.06€ | 164.38€ | 1 142 855 |
Jul 26, 2023 | 162.70€ | 162.94€ | 158.50€ | 160.22€ | 935 896 |
Jul 25, 2023 | 163.38€ | 163.70€ | 161.76€ | 163.50€ | 460 629 |
Jul 24, 2023 | 162.12€ | 163.40€ | 161.66€ | 162.92€ | 398 837 |
Jul 21, 2023 | 159.96€ | 162.74€ | 159.10€ | 162.58€ | 707 364 |
Jul 20, 2023 | 157.18€ | 160.62€ | 156.10€ | 160.30€ | 747 179 |
Jul 19, 2023 | 162.20€ | 162.24€ | 157.86€ | 157.86€ | 831 553 |
Jul 18, 2023 | 160.76€ | 161.50€ | 160.32€ | 161.12€ | 407 438 |
Jul 17, 2023 | 161.96€ | 161.96€ | 159.16€ | 160.44€ | 608 036 |
Jul 14, 2023 | 161.48€ | 162.60€ | 161.22€ | 162.24€ | 641 623 |
Jul 13, 2023 | 161.94€ | 163.66€ | 159.20€ | 161.94€ | 1 041 293 |
Jul 12, 2023 | 161.44€ | 166.14€ | 161.38€ | 165.36€ | 867 645 |
Jul 11, 2023 | 159.80€ | 161.64€ | 159.26€ | 160.60€ | 699 084 |
Jul 10, 2023 | 156.54€ | 158.60€ | 156.02€ | 158.18€ | 674 532 |
Jul 07, 2023 | 157.16€ | 157.92€ | 155.58€ | 156.92€ | 759 503 |
Jul 06, 2023 | 158.82€ | 159.96€ | 156.30€ | 156.70€ | 1 083 158 |
Jul 05, 2023 | 160.42€ | 160.72€ | 159.52€ | 160.72€ | 709 280 |
Jul 04, 2023 | 163.36€ | 163.48€ | 160.80€ | 161.34€ | 469 493 |
Jul 03, 2023 | 166.56€ | 166.90€ | 163.20€ | 163.20€ | 524 704 |
Jun 30, 2023 | 163.76€ | 167.04€ | 163.40€ | 166.46€ | 1 327 039 |
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 SU.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the SU.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 SU.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.