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Range Low Price High Price Comment
30 days 212.50€ 239.00€ Friday, 31st May 2024 SU.PA stock ended at 227.45€. This is 0.525% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 1.31% from a day low at 226.05€ to a day high of 229.00€.
90 days 203.80€ 239.00€
52 weeks 134.38€ 239.00€

Historical Schneider Electric S.E. prices

Date Open High Low Close Volume
Mar 27, 2023 144.68€ 146.28€ 143.84€ 144.98€ 904 765
Mar 24, 2023 148.98€ 149.44€ 139.92€ 142.30€ 1 213 353
Mar 23, 2023 148.04€ 149.96€ 147.52€ 149.88€ 703 975
Mar 22, 2023 148.70€ 150.26€ 148.44€ 149.38€ 608 540
Mar 21, 2023 149.08€ 150.76€ 147.76€ 148.98€ 754 905
Mar 20, 2023 146.00€ 148.34€ 143.44€ 147.28€ 953 157
Mar 17, 2023 150.08€ 151.00€ 145.10€ 146.08€ 1 939 889
Mar 16, 2023 147.30€ 149.98€ 144.76€ 148.88€ 1 549 048
Mar 15, 2023 152.16€ 152.18€ 144.06€ 144.50€ 1 391 820
Mar 14, 2023 149.12€ 153.26€ 148.34€ 152.56€ 938 744
Mar 13, 2023 152.52€ 152.68€ 147.06€ 148.68€ 1 308 509
Mar 10, 2023 154.52€ 155.24€ 150.66€ 152.32€ 1 046 991
Mar 09, 2023 154.68€ 157.64€ 153.80€ 157.60€ 639 967
Mar 08, 2023 154.02€ 155.56€ 153.88€ 155.14€ 587 220
Mar 07, 2023 155.78€ 157.12€ 154.50€ 154.58€ 570 667
Mar 06, 2023 155.92€ 156.58€ 155.04€ 155.56€ 630 078
Mar 03, 2023 154.00€ 154.98€ 153.58€ 154.88€ 746 422
Mar 02, 2023 152.42€ 153.10€ 151.42€ 153.08€ 726 716
Mar 01, 2023 154.54€ 154.96€ 152.66€ 153.56€ 928 092
Feb 28, 2023 151.30€ 152.96€ 150.74€ 152.12€ 1 043 783
Feb 27, 2023 150.32€ 152.72€ 149.84€ 152.02€ 745 907
Feb 24, 2023 155.10€ 155.68€ 149.00€ 149.00€ 1 724 470
Feb 23, 2023 154.20€ 155.26€ 153.80€ 154.46€ 754 402
Feb 22, 2023 152.02€ 153.80€ 151.02€ 153.70€ 807 358
Feb 21, 2023 155.38€ 156.40€ 153.04€ 153.04€ 960 724

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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