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 |
Nov 16, 2023 | ₹824.90 | ₹827.60 | ₹819.80 | ₹821.20 | 734 355 |
Nov 15, 2023 | ₹819.00 | ₹831.35 | ₹813.00 | ₹824.45 | 856 774 |
Nov 13, 2023 | ₹827.00 | ₹830.80 | ₹811.20 | ₹814.00 | 858 935 |
Nov 10, 2023 | ₹826.80 | ₹833.50 | ₹818.55 | ₹829.85 | 448 589 |
Nov 09, 2023 | ₹820.80 | ₹830.50 | ₹814.30 | ₹827.70 | 485 463 |
Nov 08, 2023 | ₹820.25 | ₹824.95 | ₹816.10 | ₹820.20 | 724 747 |
Nov 07, 2023 | ₹827.90 | ₹829.85 | ₹811.25 | ₹813.40 | 1 199 766 |
Nov 06, 2023 | ₹840.00 | ₹840.00 | ₹826.70 | ₹827.90 | 834 075 |
Nov 03, 2023 | ₹835.65 | ₹840.00 | ₹831.95 | ₹835.65 | 408 283 |
Nov 02, 2023 | ₹835.30 | ₹839.95 | ₹831.40 | ₹834.15 | 164 435 |
Nov 01, 2023 | ₹837.50 | ₹839.00 | ₹828.05 | ₹830.25 | 347 511 |
Oct 31, 2023 | ₹841.00 | ₹841.25 | ₹829.60 | ₹837.50 | 444 814 |
Oct 30, 2023 | ₹838.00 | ₹840.00 | ₹820.35 | ₹834.55 | 801 946 |
Oct 27, 2023 | ₹836.90 | ₹837.00 | ₹826.40 | ₹834.90 | 689 791 |
Oct 26, 2023 | ₹816.45 | ₹833.95 | ₹811.10 | ₹828.90 | 1 495 047 |
Oct 25, 2023 | ₹823.30 | ₹843.75 | ₹814.25 | ₹817.45 | 1 072 882 |
Oct 23, 2023 | ₹819.00 | ₹832.25 | ₹806.70 | ₹821.30 | 2 096 681 |
Oct 20, 2023 | ₹823.05 | ₹838.35 | ₹812.65 | ₹818.60 | 2 857 068 |
Oct 19, 2023 | ₹833.85 | ₹841.50 | ₹823.05 | ₹838.85 | 1 015 891 |
Oct 18, 2023 | ₹851.00 | ₹856.85 | ₹830.15 | ₹834.30 | 1 210 097 |
Oct 17, 2023 | ₹854.00 | ₹857.00 | ₹847.25 | ₹850.95 | 390 656 |
Oct 16, 2023 | ₹846.45 | ₹854.85 | ₹842.00 | ₹852.40 | 889 747 |
Oct 13, 2023 | ₹854.05 | ₹854.95 | ₹839.10 | ₹845.45 | 951 051 |
Oct 12, 2023 | ₹866.95 | ₹867.00 | ₹855.65 | ₹856.95 | 577 496 |
Oct 11, 2023 | ₹856.15 | ₹870.90 | ₹856.15 | ₹862.70 | 507 874 |
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.