Asian Paints Limited Stock Price (Quote)
₹2,900.15
+0 (+0%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹2,670.10 | ₹2,997.00 | Thursday, 30th May 2024 ASIANPAINT.NS stock ended at ₹2,900.15. During the day the stock fluctuated 0% from a day low at ₹2,900.15 to a day high of ₹2,900.15. |
90 days | ₹2,670.10 | ₹2,997.00 | |
52 weeks | ₹2,670.10 | ₹3,568.00 |
Historical Asian Paints Limited prices
Date | Open | High | Low | Close | Volume |
May 09, 2019 | ₹1,384.95 | ₹1,393.65 | ₹1,346.55 | ₹1,354.20 | 2 628 463 |
May 08, 2019 | ₹1,382.00 | ₹1,395.00 | ₹1,362.60 | ₹1,385.70 | 1 414 591 |
May 07, 2019 | ₹1,426.80 | ₹1,426.80 | ₹1,376.35 | ₹1,387.80 | 2 863 939 |
May 06, 2019 | ₹1,434.95 | ₹1,448.60 | ₹1,408.55 | ₹1,412.80 | 1 161 960 |
May 03, 2019 | ₹1,443.80 | ₹1,456.00 | ₹1,432.20 | ₹1,438.55 | 1 020 007 |
May 02, 2019 | ₹1,465.00 | ₹1,472.90 | ₹1,430.10 | ₹1,436.60 | 774 788 |
Apr 30, 2019 | ₹1,456.00 | ₹1,477.00 | ₹1,455.30 | ₹1,463.15 | 1 525 776 |
Apr 26, 2019 | ₹1,450.00 | ₹1,459.35 | ₹1,436.00 | ₹1,448.75 | 704 193 |
Apr 25, 2019 | ₹1,450.00 | ₹1,460.00 | ₹1,438.10 | ₹1,447.95 | 1 161 847 |
Apr 24, 2019 | ₹1,436.00 | ₹1,459.40 | ₹1,431.00 | ₹1,450.05 | 1 154 712 |
Apr 23, 2019 | ₹1,449.00 | ₹1,454.90 | ₹1,425.90 | ₹1,431.00 | 601 653 |
Apr 22, 2019 | ₹1,459.95 | ₹1,459.95 | ₹1,435.00 | ₹1,443.35 | 737 603 |
Apr 18, 2019 | ₹1,464.00 | ₹1,479.90 | ₹1,460.30 | ₹1,469.60 | 1 425 676 |
Apr 16, 2019 | ₹1,442.75 | ₹1,464.90 | ₹1,440.25 | ₹1,459.00 | 1 463 057 |
Apr 15, 2019 | ₹1,447.95 | ₹1,451.45 | ₹1,427.00 | ₹1,431.55 | 791 389 |
Apr 12, 2019 | ₹1,432.75 | ₹1,444.80 | ₹1,425.80 | ₹1,438.65 | 1 510 649 |
Apr 11, 2019 | ₹1,409.70 | ₹1,431.95 | ₹1,408.00 | ₹1,423.15 | 1 494 450 |
Apr 10, 2019 | ₹1,449.80 | ₹1,451.00 | ₹1,405.35 | ₹1,409.85 | 2 608 319 |
Apr 09, 2019 | ₹1,464.70 | ₹1,474.90 | ₹1,437.20 | ₹1,444.85 | 2 642 226 |
Apr 08, 2019 | ₹1,514.00 | ₹1,514.00 | ₹1,486.00 | ₹1,496.35 | 925 518 |
Apr 05, 2019 | ₹1,520.00 | ₹1,523.65 | ₹1,503.00 | ₹1,514.45 | 1 129 222 |
Apr 04, 2019 | ₹1,504.80 | ₹1,525.00 | ₹1,503.00 | ₹1,519.00 | 1 409 222 |
Apr 03, 2019 | ₹1,521.25 | ₹1,529.85 | ₹1,493.00 | ₹1,497.60 | 1 606 692 |
Apr 02, 2019 | ₹1,493.00 | ₹1,523.45 | ₹1,484.55 | ₹1,519.30 | 1 326 634 |
Apr 01, 2019 | ₹1,496.75 | ₹1,504.00 | ₹1,490.00 | ₹1,492.75 | 707 570 |
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 ASIANPAINT.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the ASIANPAINT.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 ASIANPAINT.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.