NSE:VBL
Varun Beverages Limited Stock Price (Quote)
₹1,515.50
+22.25 (+1.49%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹1,363.00 | ₹1,559.00 | Friday, 17th May 2024 VBL.NS stock ended at ₹1,515.50. This is 1.49% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.67% from a day low at ₹1,495.00 to a day high of ₹1,519.90. |
90 days | ₹1,345.00 | ₹1,561.95 | |
52 weeks | ₹755.00 | ₹1,747.00 |
Date | Open | High | Low | Close | Volume |
Mar 04, 2024 | ₹1,450.05 | ₹1,451.80 | ₹1,403.65 | ₹1,434.15 | 1 802 494 |
Mar 01, 2024 | ₹1,428.05 | ₹1,428.25 | ₹1,392.50 | ₹1,417.85 | 2 094 038 |
Feb 29, 2024 | ₹1,390.00 | ₹1,419.65 | ₹1,345.00 | ₹1,408.50 | 5 571 975 |
Feb 28, 2024 | ₹1,476.95 | ₹1,477.60 | ₹1,390.00 | ₹1,397.85 | 5 032 090 |
Feb 27, 2024 | ₹1,530.00 | ₹1,531.35 | ₹1,453.00 | ₹1,467.00 | 2 480 839 |
Feb 26, 2024 | ₹1,514.55 | ₹1,561.95 | ₹1,507.20 | ₹1,536.25 | 1 267 222 |
Feb 23, 2024 | ₹1,512.45 | ₹1,525.00 | ₹1,491.65 | ₹1,514.50 | 1 154 769 |
Feb 22, 2024 | ₹1,474.50 | ₹1,500.00 | ₹1,462.50 | ₹1,497.20 | 1 061 796 |
Feb 21, 2024 | ₹1,451.90 | ₹1,472.65 | ₹1,442.75 | ₹1,464.20 | 955 833 |
Feb 20, 2024 | ₹1,452.40 | ₹1,452.40 | ₹1,430.00 | ₹1,437.50 | 1 157 625 |
Feb 19, 2024 | ₹1,428.80 | ₹1,442.45 | ₹1,422.05 | ₹1,438.30 | 498 266 |
Feb 16, 2024 | ₹1,420.00 | ₹1,434.00 | ₹1,402.00 | ₹1,423.05 | 1 530 812 |
Feb 15, 2024 | ₹1,440.00 | ₹1,456.00 | ₹1,420.05 | ₹1,425.30 | 1 956 195 |
Feb 14, 2024 | ₹1,394.65 | ₹1,442.00 | ₹1,384.00 | ₹1,430.70 | 1 372 540 |
Feb 13, 2024 | ₹1,390.05 | ₹1,409.00 | ₹1,379.00 | ₹1,394.50 | 1 277 685 |
Feb 12, 2024 | ₹1,379.00 | ₹1,394.70 | ₹1,367.05 | ₹1,389.35 | 1 288 961 |
Feb 09, 2024 | ₹1,379.05 | ₹1,409.90 | ₹1,360.05 | ₹1,370.00 | 2 525 147 |
Feb 08, 2024 | ₹1,349.50 | ₹1,413.60 | ₹1,345.00 | ₹1,375.35 | 3 303 501 |
Feb 07, 2024 | ₹1,356.00 | ₹1,364.50 | ₹1,328.55 | ₹1,345.20 | 1 799 750 |
Feb 06, 2024 | ₹1,321.00 | ₹1,350.00 | ₹1,308.20 | ₹1,347.15 | 4 155 916 |
Feb 05, 2024 | ₹1,289.50 | ₹1,320.00 | ₹1,260.00 | ₹1,302.50 | 4 202 614 |
Feb 02, 2024 | ₹1,271.10 | ₹1,303.45 | ₹1,271.00 | ₹1,285.75 | 2 161 693 |
Feb 01, 2024 | ₹1,282.80 | ₹1,288.90 | ₹1,266.40 | ₹1,284.50 | 1 228 097 |
Jan 31, 2024 | ₹1,231.00 | ₹1,285.00 | ₹1,231.00 | ₹1,280.40 | 2 198 737 |
Jan 30, 2024 | ₹1,275.05 | ₹1,283.75 | ₹1,241.20 | ₹1,251.20 | 2 786 583 |
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 VBL.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the VBL.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 VBL.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.