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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
Mar 05, 2024 211.95€ 212.25€ 207.30€ 207.95€ 651 855
Mar 04, 2024 211.05€ 212.40€ 209.90€ 212.40€ 477 601
Mar 01, 2024 210.70€ 211.75€ 207.60€ 209.90€ 508 059
Feb 29, 2024 207.25€ 210.50€ 206.95€ 209.80€ 1 456 244
Feb 28, 2024 206.25€ 208.40€ 205.30€ 207.40€ 719 361
Feb 27, 2024 208.00€ 209.20€ 205.50€ 205.50€ 859 070
Feb 26, 2024 209.20€ 210.35€ 208.50€ 210.00€ 370 613
Feb 23, 2024 204.75€ 210.35€ 204.75€ 209.80€ 872 582
Feb 22, 2024 204.75€ 207.55€ 203.15€ 207.55€ 1 117 782
Feb 21, 2024 201.35€ 202.75€ 199.18€ 202.50€ 710 651
Feb 20, 2024 202.05€ 202.65€ 200.30€ 201.15€ 531 166
Feb 19, 2024 200.65€ 203.00€ 199.80€ 203.00€ 485 225
Feb 16, 2024 197.72€ 201.90€ 197.36€ 201.90€ 996 613
Feb 15, 2024 199.02€ 202.70€ 197.98€ 198.26€ 930 679
Feb 14, 2024 191.44€ 195.94€ 191.38€ 195.40€ 680 604
Feb 13, 2024 195.50€ 195.64€ 189.32€ 191.82€ 830 769
Feb 12, 2024 196.52€ 197.08€ 194.48€ 195.08€ 501 462
Feb 09, 2024 195.12€ 197.26€ 194.90€ 195.96€ 799 718
Feb 08, 2024 193.00€ 196.82€ 192.64€ 196.12€ 668 165
Feb 07, 2024 192.84€ 193.34€ 192.18€ 192.30€ 819 475
Feb 06, 2024 190.00€ 193.64€ 189.84€ 193.20€ 956 897
Feb 05, 2024 187.88€ 188.96€ 187.10€ 188.00€ 630 259
Feb 02, 2024 187.28€ 189.66€ 187.20€ 188.70€ 802 241
Feb 01, 2024 182.82€ 187.24€ 182.34€ 185.70€ 676 848
Jan 31, 2024 184.18€ 185.80€ 182.22€ 182.90€ 932 432

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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