NSE:KIOCL
KIOCL Limited Stock Price (Quote)
₹445.15
+24.10 (+5.72%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹391.75 | ₹473.75 | Friday, 17th May 2024 KIOCL.NS stock ended at ₹445.15. This is 5.72% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 7.08% from a day low at ₹419.30 to a day high of ₹449.00. |
90 days | ₹354.25 | ₹577.35 | |
52 weeks | ₹184.50 | ₹577.35 |
Date | Open | High | Low | Close | Volume |
Apr 11, 2024 | ₹448.55 | ₹448.55 | ₹448.55 | ₹448.55 | 0 |
Apr 10, 2024 | ₹451.00 | ₹467.90 | ₹449.70 | ₹453.10 | 311 231 |
Apr 09, 2024 | ₹450.00 | ₹472.00 | ₹444.25 | ₹448.55 | 490 920 |
Apr 08, 2024 | ₹444.95 | ₹465.00 | ₹444.90 | ₹452.20 | 391 337 |
Apr 05, 2024 | ₹449.00 | ₹464.80 | ₹435.25 | ₹442.55 | 435 697 |
Apr 04, 2024 | ₹455.00 | ₹460.00 | ₹437.20 | ₹443.80 | 304 603 |
Apr 03, 2024 | ₹427.00 | ₹460.00 | ₹422.95 | ₹451.60 | 626 634 |
Apr 02, 2024 | ₹412.80 | ₹435.00 | ₹408.30 | ₹426.95 | 328 561 |
Apr 01, 2024 | ₹390.00 | ₹416.00 | ₹389.95 | ₹411.25 | 284 953 |
Mar 28, 2024 | ₹387.80 | ₹401.10 | ₹386.30 | ₹388.90 | 250 665 |
Mar 27, 2024 | ₹396.70 | ₹400.05 | ₹383.00 | ₹385.65 | 244 902 |
Mar 26, 2024 | ₹410.00 | ₹412.25 | ₹393.20 | ₹394.80 | 275 127 |
Mar 22, 2024 | ₹403.90 | ₹429.70 | ₹399.30 | ₹412.55 | 581 087 |
Mar 21, 2024 | ₹394.00 | ₹409.00 | ₹394.00 | ₹402.95 | 260 748 |
Mar 20, 2024 | ₹395.00 | ₹404.00 | ₹381.50 | ₹387.60 | 234 340 |
Mar 19, 2024 | ₹393.05 | ₹406.35 | ₹385.15 | ₹388.40 | 230 272 |
Mar 18, 2024 | ₹386.95 | ₹405.00 | ₹384.00 | ₹396.90 | 221 554 |
Mar 15, 2024 | ₹392.00 | ₹411.40 | ₹377.45 | ₹386.95 | 273 649 |
Mar 14, 2024 | ₹366.00 | ₹402.75 | ₹354.25 | ₹392.80 | 453 394 |
Mar 13, 2024 | ₹414.90 | ₹423.80 | ₹372.00 | ₹372.00 | 399 661 |
Mar 12, 2024 | ₹427.55 | ₹431.00 | ₹402.00 | ₹413.30 | 247 471 |
Mar 11, 2024 | ₹447.45 | ₹450.15 | ₹423.00 | ₹425.80 | 255 205 |
Mar 07, 2024 | ₹455.65 | ₹462.00 | ₹444.35 | ₹447.95 | 154 376 |
Mar 06, 2024 | ₹467.65 | ₹472.95 | ₹438.05 | ₹454.95 | 381 954 |
Mar 05, 2024 | ₹480.00 | ₹481.50 | ₹464.05 | ₹467.35 | 170 449 |
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 KIOCL.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the KIOCL.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 KIOCL.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.