Pidilite Industries Limited Stock Price (Quote)
₹2,972.05
-17.15 (-0.574%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹2,777.00 | ₹3,118.00 | Friday, 24th May 2024 PIDILITIND.NS stock ended at ₹2,972.05. This is 0.574% less than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 2.18% from a day low at ₹2,946.00 to a day high of ₹3,010.35. |
90 days | ₹2,660.10 | ₹3,118.00 | |
52 weeks | ₹2,292.55 | ₹3,118.00 |
Date | Open | High | Low | Close | Volume |
Apr 19, 2024 | ₹2,859.05 | ₹2,860.00 | ₹2,804.60 | ₹2,830.70 | 668 759 |
Apr 18, 2024 | ₹2,887.45 | ₹2,921.75 | ₹2,860.55 | ₹2,871.80 | 328 124 |
Apr 16, 2024 | ₹2,881.85 | ₹2,898.25 | ₹2,853.00 | ₹2,879.10 | 187 041 |
Apr 15, 2024 | ₹2,932.00 | ₹2,951.60 | ₹2,873.00 | ₹2,883.30 | 347 531 |
Apr 12, 2024 | ₹3,000.00 | ₹3,021.20 | ₹2,980.00 | ₹2,985.85 | 185 285 |
Apr 11, 2024 | ₹3,014.55 | ₹3,014.55 | ₹3,014.55 | ₹3,014.55 | 0 |
Apr 10, 2024 | ₹3,014.10 | ₹3,027.40 | ₹2,998.00 | ₹3,000.10 | 146 795 |
Apr 09, 2024 | ₹3,044.45 | ₹3,054.90 | ₹2,996.10 | ₹3,014.55 | 125 787 |
Apr 08, 2024 | ₹3,001.50 | ₹3,049.00 | ₹2,981.45 | ₹3,044.20 | 232 843 |
Apr 05, 2024 | ₹2,997.80 | ₹3,016.75 | ₹2,980.50 | ₹3,000.80 | 216 911 |
Apr 04, 2024 | ₹3,011.55 | ₹3,024.50 | ₹2,992.10 | ₹2,997.80 | 321 041 |
Apr 03, 2024 | ₹3,009.90 | ₹3,019.15 | ₹2,976.85 | ₹3,002.90 | 319 887 |
Apr 02, 2024 | ₹3,051.55 | ₹3,055.00 | ₹2,990.70 | ₹2,999.75 | 422 085 |
Apr 01, 2024 | ₹3,042.90 | ₹3,074.00 | ₹3,020.10 | ₹3,051.55 | 370 283 |
Mar 28, 2024 | ₹2,997.75 | ₹3,037.30 | ₹2,964.50 | ₹3,014.70 | 661 267 |
Mar 27, 2024 | ₹3,031.15 | ₹3,034.80 | ₹2,982.50 | ₹2,992.30 | 369 920 |
Mar 26, 2024 | ₹2,981.80 | ₹3,009.95 | ₹2,959.85 | ₹3,001.60 | 1 035 349 |
Mar 22, 2024 | ₹2,907.45 | ₹2,969.35 | ₹2,904.45 | ₹2,960.10 | 623 353 |
Mar 21, 2024 | ₹2,872.00 | ₹2,908.45 | ₹2,856.95 | ₹2,901.40 | 354 235 |
Mar 20, 2024 | ₹2,885.10 | ₹2,890.95 | ₹2,820.40 | ₹2,871.80 | 263 029 |
Mar 19, 2024 | ₹2,925.25 | ₹2,925.25 | ₹2,867.10 | ₹2,891.40 | 273 990 |
Mar 18, 2024 | ₹2,868.00 | ₹2,946.90 | ₹2,860.00 | ₹2,925.25 | 585 609 |
Mar 15, 2024 | ₹2,870.00 | ₹2,894.00 | ₹2,819.00 | ₹2,868.00 | 469 643 |
Mar 14, 2024 | ₹2,820.95 | ₹2,880.00 | ₹2,773.25 | ₹2,861.00 | 319 426 |
Mar 13, 2024 | ₹2,873.30 | ₹2,897.45 | ₹2,798.90 | ₹2,823.20 | 477 448 |
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 PIDILITIND.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the PIDILITIND.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 PIDILITIND.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.