Range Low Price High Price Comment
30 days 212.50€ 239.00€ Monday, 27th May 2024 SU.PA stock ended at 237.65€. This is 0.231% less than the trading day before Friday, 24th May 2024. During the day the stock fluctuated 1.08% from a day low at 236.35€ to a day high of 238.90€.
90 days 203.80€ 239.00€
52 weeks 134.38€ 239.00€

Historical Schneider Electric S.E. prices

Date Open High Low Close Volume
Dec 16, 2021 168.12€ 169.48€ 166.06€ 167.82€ 1 174 411
Dec 15, 2021 163.34€ 165.74€ 163.00€ 165.00€ 739 838
Dec 14, 2021 168.32€ 169.14€ 162.76€ 162.76€ 738 254
Dec 13, 2021 167.16€ 169.00€ 166.00€ 167.02€ 783 865
Dec 10, 2021 166.88€ 167.34€ 166.34€ 166.66€ 27 630
Dec 09, 2021 167.64€ 168.60€ 167.26€ 167.82€ 681 477
Dec 08, 2021 166.98€ 169.74€ 166.18€ 166.30€ 706 960
Dec 07, 2021 162.60€ 167.54€ 162.50€ 167.26€ 1 095 306
Dec 06, 2021 160.42€ 163.54€ 159.84€ 161.64€ 917 872
Dec 03, 2021 162.28€ 162.78€ 158.70€ 159.88€ 911 170
Dec 02, 2021 161.48€ 161.94€ 159.90€ 161.90€ 520 268
Dec 01, 2021 159.18€ 163.24€ 157.22€ 162.76€ 1 163 312
Nov 30, 2021 151.32€ 157.62€ 150.12€ 156.22€ 2 309 784
Nov 29, 2021 152.20€ 153.98€ 150.18€ 151.24€ 1 177 445
Nov 26, 2021 151.54€ 153.98€ 149.30€ 151.58€ 1 549 391
Nov 25, 2021 156.92€ 157.88€ 155.48€ 156.72€ 504 577
Nov 24, 2021 159.58€ 160.60€ 155.84€ 156.16€ 1 116 989
Nov 23, 2021 161.14€ 162.14€ 158.66€ 159.90€ 769 311
Nov 22, 2021 162.28€ 163.44€ 161.82€ 162.10€ 747 439
Nov 19, 2021 159.74€ 161.98€ 159.68€ 161.42€ 1 627 109
Nov 18, 2021 159.18€ 160.62€ 158.86€ 159.66€ 756 332
Nov 17, 2021 156.38€ 159.28€ 155.94€ 158.62€ 886 455

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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