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 |
Nov 16, 2023 | ₹312.80 | ₹314.00 | ₹306.35 | ₹308.35 | 125 926 |
Nov 15, 2023 | ₹315.10 | ₹318.10 | ₹311.60 | ₹312.80 | 124 035 |
Nov 13, 2023 | ₹317.45 | ₹317.45 | ₹309.00 | ₹311.95 | 105 738 |
Nov 10, 2023 | ₹306.50 | ₹318.95 | ₹305.10 | ₹313.65 | 216 762 |
Nov 09, 2023 | ₹323.95 | ₹329.45 | ₹307.15 | ₹307.15 | 336 976 |
Nov 08, 2023 | ₹336.40 | ₹342.80 | ₹318.00 | ₹321.80 | 328 227 |
Nov 07, 2023 | ₹328.30 | ₹341.80 | ₹323.80 | ₹334.70 | 502 507 |
Nov 06, 2023 | ₹330.90 | ₹331.00 | ₹323.10 | ₹325.55 | 129 819 |
Nov 03, 2023 | ₹331.85 | ₹333.70 | ₹322.20 | ₹326.50 | 127 932 |
Nov 02, 2023 | ₹331.00 | ₹337.70 | ₹324.80 | ₹327.75 | 280 888 |
Nov 01, 2023 | ₹340.30 | ₹344.95 | ₹326.00 | ₹328.35 | 187 191 |
Oct 31, 2023 | ₹347.40 | ₹351.00 | ₹335.05 | ₹337.50 | 231 243 |
Oct 30, 2023 | ₹365.00 | ₹369.75 | ₹340.05 | ₹342.85 | 685 833 |
Oct 27, 2023 | ₹338.00 | ₹352.15 | ₹338.00 | ₹352.15 | 183 536 |
Oct 26, 2023 | ₹334.00 | ₹350.00 | ₹331.95 | ₹335.40 | 1 113 743 |
Oct 25, 2023 | ₹369.00 | ₹381.00 | ₹349.15 | ₹349.40 | 554 223 |
Oct 23, 2023 | ₹410.10 | ₹413.65 | ₹367.50 | ₹367.50 | 815 610 |
Oct 20, 2023 | ₹427.00 | ₹435.00 | ₹395.25 | ₹408.30 | 1 105 133 |
Oct 19, 2023 | ₹417.00 | ₹452.75 | ₹414.85 | ₹428.05 | 2 193 310 |
Oct 18, 2023 | ₹509.00 | ₹519.40 | ₹428.80 | ₹436.05 | 6 486 178 |
Oct 17, 2023 | ₹414.00 | ₹476.40 | ₹412.15 | ₹476.40 | 5 863 087 |
Oct 16, 2023 | ₹336.00 | ₹397.00 | ₹336.00 | ₹397.00 | 4 964 907 |
Oct 13, 2023 | ₹335.00 | ₹342.00 | ₹327.00 | ₹330.85 | 670 813 |
Oct 12, 2023 | ₹324.45 | ₹344.00 | ₹321.45 | ₹336.50 | 1 690 185 |
Oct 11, 2023 | ₹323.80 | ₹332.00 | ₹320.10 | ₹321.95 | 522 654 |
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.