Kansai Nerolac Paints Limited Stock Price (Quote)
₹270.25
-7.60 (-2.74%)
At Close: May 13, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹268.50 | ₹299.80 | Monday, 13th May 2024 KANSAINER.NS stock ended at ₹270.25. This is 2.74% less than the trading day before Friday, 10th May 2024. During the day the stock fluctuated 4.08% from a day low at ₹269.30 to a day high of ₹280.30. |
90 days | ₹257.50 | ₹316.20 | |
52 weeks | ₹257.50 | ₹469.90 |
Date | Open | High | Low | Close | Volume |
Feb 27, 2024 | ₹299.00 | ₹301.00 | ₹294.50 | ₹295.95 | 334 392 |
Feb 26, 2024 | ₹304.35 | ₹304.40 | ₹297.45 | ₹299.25 | 311 065 |
Feb 23, 2024 | ₹309.50 | ₹309.50 | ₹301.50 | ₹301.95 | 389 924 |
Feb 22, 2024 | ₹308.70 | ₹310.00 | ₹304.70 | ₹307.90 | 206 550 |
Feb 21, 2024 | ₹311.90 | ₹313.35 | ₹306.05 | ₹307.80 | 187 198 |
Feb 20, 2024 | ₹309.00 | ₹312.40 | ₹307.50 | ₹310.90 | 175 142 |
Feb 19, 2024 | ₹307.05 | ₹310.65 | ₹304.50 | ₹308.50 | 246 060 |
Feb 16, 2024 | ₹305.65 | ₹311.00 | ₹303.85 | ₹304.40 | 547 630 |
Feb 15, 2024 | ₹307.90 | ₹309.85 | ₹304.35 | ₹305.35 | 539 914 |
Feb 14, 2024 | ₹313.05 | ₹314.50 | ₹304.00 | ₹304.85 | 397 194 |
Feb 13, 2024 | ₹305.95 | ₹316.20 | ₹301.40 | ₹314.50 | 288 096 |
Feb 12, 2024 | ₹324.00 | ₹324.00 | ₹303.05 | ₹304.50 | 528 904 |
Feb 09, 2024 | ₹316.55 | ₹319.40 | ₹314.00 | ₹316.75 | 208 772 |
Feb 08, 2024 | ₹320.00 | ₹322.00 | ₹310.90 | ₹316.55 | 878 534 |
Feb 07, 2024 | ₹334.00 | ₹338.00 | ₹316.35 | ₹318.90 | 1 169 951 |
Feb 06, 2024 | ₹346.05 | ₹347.50 | ₹333.00 | ₹333.80 | 1 386 406 |
Feb 05, 2024 | ₹342.00 | ₹353.00 | ₹338.55 | ₹344.20 | 1 021 295 |
Feb 02, 2024 | ₹337.60 | ₹341.90 | ₹337.60 | ₹340.50 | 203 717 |
Feb 01, 2024 | ₹341.75 | ₹341.75 | ₹336.10 | ₹337.60 | 432 030 |
Jan 31, 2024 | ₹337.15 | ₹342.90 | ₹337.10 | ₹341.75 | 236 843 |
Jan 30, 2024 | ₹342.00 | ₹343.50 | ₹332.30 | ₹335.75 | 294 830 |
Jan 29, 2024 | ₹334.30 | ₹342.00 | ₹333.45 | ₹339.30 | 181 982 |
Jan 25, 2024 | ₹340.15 | ₹340.20 | ₹331.00 | ₹332.75 | 2 029 301 |
Jan 24, 2024 | ₹336.40 | ₹341.90 | ₹330.85 | ₹340.15 | 350 321 |
Jan 23, 2024 | ₹341.00 | ₹341.25 | ₹332.95 | ₹337.00 | 194 470 |
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 KANSAINER.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the KANSAINER.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 KANSAINER.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.