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 |
Jun 29, 2023 | 162.56€ | 164.36€ | 160.72€ | 162.98€ | 704 112 |
Jun 28, 2023 | 162.84€ | 163.96€ | 161.40€ | 162.88€ | 907 591 |
Jun 27, 2023 | 160.00€ | 161.24€ | 159.16€ | 161.24€ | 697 045 |
Jun 26, 2023 | 158.32€ | 160.06€ | 156.78€ | 159.26€ | 826 999 |
Jun 23, 2023 | 157.58€ | 158.44€ | 156.52€ | 158.10€ | 844 980 |
Jun 22, 2023 | 158.80€ | 159.22€ | 156.82€ | 159.14€ | 600 314 |
Jun 21, 2023 | 160.48€ | 162.04€ | 159.86€ | 160.36€ | 535 530 |
Jun 20, 2023 | 162.16€ | 162.92€ | 160.80€ | 161.08€ | 693 902 |
Jun 19, 2023 | 163.16€ | 163.80€ | 162.04€ | 163.12€ | 549 261 |
Jun 16, 2023 | 165.24€ | 165.38€ | 162.98€ | 162.98€ | 2 900 856 |
Jun 15, 2023 | 165.36€ | 166.18€ | 162.90€ | 164.58€ | 873 826 |
Jun 14, 2023 | 166.54€ | 167.98€ | 166.10€ | 166.26€ | 811 359 |
Jun 13, 2023 | 165.48€ | 167.24€ | 165.36€ | 166.24€ | 789 896 |
Jun 12, 2023 | 164.94€ | 166.26€ | 163.32€ | 164.18€ | 641 292 |
Jun 09, 2023 | 164.00€ | 164.82€ | 163.26€ | 163.94€ | 549 778 |
Jun 08, 2023 | 163.14€ | 164.64€ | 162.48€ | 163.98€ | 589 548 |
Jun 07, 2023 | 163.84€ | 164.72€ | 162.32€ | 163.82€ | 747 431 |
Jun 06, 2023 | 163.82€ | 165.22€ | 163.32€ | 164.16€ | 586 213 |
Jun 05, 2023 | 165.66€ | 165.90€ | 163.02€ | 164.00€ | 448 466 |
Jun 02, 2023 | 164.00€ | 165.80€ | 163.32€ | 165.62€ | 612 054 |
Jun 01, 2023 | 161.92€ | 164.04€ | 161.24€ | 163.20€ | 596 300 |
May 31, 2023 | 162.32€ | 164.12€ | 160.64€ | 161.34€ | 2 045 635 |
May 30, 2023 | 162.42€ | 166.96€ | 162.30€ | 164.60€ | 649 619 |
May 29, 2023 | 164.50€ | 165.18€ | 163.28€ | 164.10€ | 284 528 |
May 26, 2023 | 161.92€ | 164.42€ | 160.38€ | 164.00€ | 891 347 |
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.