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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€

Historical Schneider Electric S.E. prices

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.

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.

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 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.
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About Schneider Electric S.E.

Schneider Electric S.E. provides energy and automation digital solutions worldwide. It operates through two segments, Energy Management and Industrial Automation. The company offers busway and cable support products, circuit breakers and switches, contactors and protection relays, electrical protection and control products, energy management software solutions, transfer switches, surge protection and power conditioning products, power monitoring ... SU.PA Profile

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