Whirlpool of India Limited Stock Price (Quote)
₹2,003.10
+67.15 (+3.47%)
At Close: Jul 04, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹1,380.00 | ₹2,199.00 | Thursday, 4th Jul 2024 WHIRLPOOL.NS stock ended at ₹2,003.10. This is 3.47% more than the trading day before Wednesday, 3rd Jul 2024. During the day the stock fluctuated 3.56% from a day low at ₹1,942.60 to a day high of ₹2,011.85. |
90 days | ₹1,339.30 | ₹2,199.00 | |
52 weeks | ₹1,186.10 | ₹2,199.00 |
Historical Whirlpool of India Limited prices
Date | Open | High | Low | Close | Volume |
Jul 04, 2024 | ₹1,947.40 | ₹2,011.85 | ₹1,942.60 | ₹2,003.10 | 186 725 |
Jul 03, 2024 | ₹1,941.75 | ₹1,954.30 | ₹1,921.00 | ₹1,935.95 | 63 160 |
Jul 02, 2024 | ₹1,974.80 | ₹1,976.45 | ₹1,925.00 | ₹1,941.35 | 152 311 |
Jul 01, 2024 | ₹1,998.35 | ₹2,045.75 | ₹1,940.05 | ₹1,957.00 | 282 672 |
Jun 28, 2024 | ₹1,984.00 | ₹2,037.10 | ₹1,969.90 | ₹1,998.35 | 446 203 |
Jun 27, 2024 | ₹2,140.00 | ₹2,199.00 | ₹1,952.55 | ₹1,984.35 | 2 632 027 |
Jun 26, 2024 | ₹1,845.65 | ₹1,849.00 | ₹1,822.00 | ₹1,837.05 | 49 499 |
Jun 25, 2024 | ₹1,837.95 | ₹1,864.00 | ₹1,818.00 | ₹1,845.65 | 279 181 |
Jun 24, 2024 | ₹1,854.80 | ₹1,888.85 | ₹1,815.85 | ₹1,829.40 | 153 859 |
Jun 21, 2024 | ₹1,820.55 | ₹1,856.95 | ₹1,800.05 | ₹1,847.20 | 236 942 |
Jun 20, 2024 | ₹1,835.00 | ₹1,839.55 | ₹1,811.00 | ₹1,820.55 | 50 172 |
Jun 19, 2024 | ₹1,837.00 | ₹1,845.00 | ₹1,769.25 | ₹1,831.10 | 156 312 |
Jun 18, 2024 | ₹1,784.90 | ₹1,838.00 | ₹1,757.40 | ₹1,825.00 | 199 830 |
Jun 14, 2024 | ₹1,794.80 | ₹1,809.50 | ₹1,776.95 | ₹1,784.90 | 111 354 |
Jun 13, 2024 | ₹1,820.00 | ₹1,837.80 | ₹1,778.80 | ₹1,794.80 | 491 034 |
Jun 12, 2024 | ₹1,761.00 | ₹1,810.00 | ₹1,742.80 | ₹1,788.55 | 1 175 390 |
Jun 11, 2024 | ₹1,716.10 | ₹1,760.00 | ₹1,680.05 | ₹1,741.25 | 461 738 |
Jun 10, 2024 | ₹1,640.00 | ₹1,733.00 | ₹1,630.00 | ₹1,702.60 | 545 084 |
Jun 07, 2024 | ₹1,543.35 | ₹1,635.00 | ₹1,540.00 | ₹1,620.90 | 415 928 |
Jun 06, 2024 | ₹1,541.55 | ₹1,567.65 | ₹1,531.55 | ₹1,543.35 | 63 826 |
Jun 05, 2024 | ₹1,478.25 | ₹1,555.00 | ₹1,458.70 | ₹1,537.10 | 126 393 |
Jun 04, 2024 | ₹1,519.00 | ₹1,533.75 | ₹1,380.00 | ₹1,463.65 | 117 142 |
Jun 03, 2024 | ₹1,520.00 | ₹1,530.85 | ₹1,486.85 | ₹1,515.65 | 811 796 |
May 31, 2024 | ₹1,469.00 | ₹1,528.00 | ₹1,451.95 | ₹1,498.15 | 126 719 |
May 30, 2024 | ₹1,526.00 | ₹1,526.05 | ₹1,462.25 | ₹1,468.00 | 302 602 |
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 WHIRLPOOL.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the WHIRLPOOL.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 WHIRLPOOL.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.