NSE:VOLTAS
Voltas Limited Stock Price (Quote)
₹1,288.30
-32.30 (-2.45%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹1,257.50 | ₹1,502.30 | Friday, 17th May 2024 VOLTAS.NS stock ended at ₹1,288.30. This is 2.45% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.19% from a day low at ₹1,285.00 to a day high of ₹1,325.95. |
90 days | ₹1,023.95 | ₹1,502.30 | |
52 weeks | ₹745.00 | ₹1,502.30 |
Date | Open | High | Low | Close | Volume |
Jan 29, 2024 | ₹1,009.95 | ₹1,043.00 | ₹1,006.80 | ₹1,040.40 | 1 557 176 |
Jan 25, 2024 | ₹1,031.85 | ₹1,033.50 | ₹996.05 | ₹1,005.20 | 991 610 |
Jan 24, 2024 | ₹1,007.00 | ₹1,036.75 | ₹996.40 | ₹1,031.75 | 1 418 343 |
Jan 23, 2024 | ₹1,034.90 | ₹1,036.20 | ₹992.50 | ₹1,007.25 | 1 513 441 |
Jan 22, 2024 | ₹1,051.10 | ₹1,051.10 | ₹1,051.10 | ₹1,051.10 | 0 |
Jan 20, 2024 | ₹1,058.95 | ₹1,059.95 | ₹1,020.50 | ₹1,024.55 | 371 157 |
Jan 19, 2024 | ₹1,043.45 | ₹1,054.40 | ₹1,038.10 | ₹1,051.10 | 748 184 |
Jan 18, 2024 | ₹1,050.00 | ₹1,050.00 | ₹1,015.90 | ₹1,036.25 | 1 645 522 |
Jan 17, 2024 | ₹1,035.00 | ₹1,061.95 | ₹1,032.70 | ₹1,052.70 | 1 388 867 |
Jan 16, 2024 | ₹1,059.00 | ₹1,068.05 | ₹1,047.40 | ₹1,051.40 | 1 406 214 |
Jan 15, 2024 | ₹1,056.90 | ₹1,068.25 | ₹1,044.60 | ₹1,060.85 | 1 480 639 |
Jan 12, 2024 | ₹1,055.00 | ₹1,061.50 | ₹1,047.40 | ₹1,056.90 | 1 135 507 |
Jan 11, 2024 | ₹1,015.00 | ₹1,060.00 | ₹1,011.95 | ₹1,055.70 | 3 915 192 |
Jan 10, 2024 | ₹993.00 | ₹1,025.80 | ₹990.00 | ₹1,012.15 | 3 879 991 |
Jan 09, 2024 | ₹994.30 | ₹1,004.30 | ₹990.05 | ₹993.40 | 1 496 475 |
Jan 08, 2024 | ₹1,009.15 | ₹1,011.40 | ₹985.20 | ₹990.05 | 1 283 216 |
Jan 05, 2024 | ₹1,010.00 | ₹1,013.15 | ₹998.30 | ₹1,009.20 | 870 656 |
Jan 04, 2024 | ₹986.90 | ₹1,022.95 | ₹986.20 | ₹1,014.10 | 2 397 622 |
Jan 03, 2024 | ₹992.35 | ₹1,000.15 | ₹983.00 | ₹986.90 | 1 252 396 |
Jan 02, 2024 | ₹977.40 | ₹998.00 | ₹968.00 | ₹992.20 | 1 525 029 |
Jan 01, 2024 | ₹979.00 | ₹982.35 | ₹972.50 | ₹977.95 | 764 695 |
Dec 29, 2023 | ₹972.25 | ₹985.00 | ₹969.75 | ₹978.35 | 1 746 186 |
Dec 28, 2023 | ₹992.00 | ₹992.00 | ₹965.00 | ₹971.55 | 1 660 911 |
Dec 27, 2023 | ₹965.95 | ₹992.80 | ₹965.35 | ₹985.20 | 2 628 579 |
Dec 26, 2023 | ₹950.00 | ₹968.50 | ₹948.00 | ₹966.00 | 2 231 290 |
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.
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 VOLTAS.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the VOLTAS.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.
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.
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 VOLTAS.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.