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Range Low Price High Price Comment
30 days ₹649.60 ₹955.05 Friday, 14th Jun 2024 SCHNEIDER.NS stock ended at ₹810.10. This is 2.79% more than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 4.55% from a day low at ₹791.50 to a day high of ₹827.50.
90 days ₹568.00 ₹955.05
52 weeks ₹238.55 ₹955.05

Historical Schneider Electric Infrastructure Limited prices

Date Open High Low Close Volume
Jun 14, 2024 ₹818.95 ₹827.50 ₹791.50 ₹810.10 310 329
Jun 13, 2024 ₹805.95 ₹825.00 ₹782.00 ₹788.10 263 688
Jun 12, 2024 ₹862.45 ₹862.45 ₹801.00 ₹805.95 470 096
Jun 11, 2024 ₹821.40 ₹821.40 ₹817.55 ₹821.40 101 860
Jun 10, 2024 ₹745.05 ₹782.30 ₹743.75 ₹782.30 264 727
Jun 07, 2024 ₹723.30 ₹745.05 ₹711.25 ₹745.05 217 955
Jun 06, 2024 ₹708.00 ₹724.00 ₹694.00 ₹709.60 360 789
Jun 05, 2024 ₹660.00 ₹710.00 ₹649.60 ₹695.90 577 478
Jun 04, 2024 ₹744.40 ₹744.40 ₹683.75 ₹683.75 363 725
Jun 03, 2024 ₹719.70 ₹719.70 ₹700.40 ₹719.70 361 549
May 31, 2024 ₹696.00 ₹724.40 ₹673.95 ₹685.45 2 273 877
May 30, 2024 ₹709.40 ₹709.40 ₹709.40 ₹709.40 95 863
May 29, 2024 ₹746.70 ₹746.70 ₹746.70 ₹746.70 46 583
May 28, 2024 ₹786.00 ₹786.00 ₹786.00 ₹786.00 41 086
May 27, 2024 ₹827.35 ₹827.35 ₹827.35 ₹827.35 49 190
May 24, 2024 ₹870.90 ₹870.90 ₹870.90 ₹870.90 60 790
May 23, 2024 ₹916.00 ₹955.05 ₹902.40 ₹916.70 272 065
May 22, 2024 ₹902.25 ₹929.30 ₹872.20 ₹909.60 228 240
May 21, 2024 ₹919.90 ₹920.50 ₹873.90 ₹891.80 247 897
May 20, 2024 ₹877.25 ₹877.25 ₹877.25 ₹877.25 0
May 17, 2024 ₹844.40 ₹877.25 ₹842.00 ₹877.25 145 373
May 16, 2024 ₹815.00 ₹840.00 ₹803.00 ₹835.50 142 450
May 15, 2024 ₹824.00 ₹830.95 ₹804.00 ₹813.55 99 622
May 14, 2024 ₹787.00 ₹822.60 ₹786.00 ₹818.55 122 861
May 13, 2024 ₹784.70 ₹795.00 ₹751.00 ₹784.80 113 037

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 SCHNEIDER.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the SCHNEIDER.NS 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 SCHNEIDER.NS 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 Infrastructure Limited

Schneider Electric Infrastructure Limited Schneider Electric Infrastructure Limited designs, manufactures, builds, and services products and systems for electricity distribution in India and internationally. The company offers distribution, medium power, and special transformers; substation automation systems, including power management systems, controllers and RTUs, communication elements, graphic user interfaces, engineering tools, SCADA and EMS gateways, and simulation tools; and ring... SCHNEIDER.NS Profile

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