XBOM:KENVI
Kenvi Jewels Limited Stock Price (Quote)
₹5.60
-0.200 (-3.45%)
At Close: Jun 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹5.12 | ₹6.60 | Friday, 28th Jun 2024 KENVI.BO stock ended at ₹5.60. This is 3.45% less than the trading day before Thursday, 27th Jun 2024. During the day the stock fluctuated 7.45% from a day low at ₹5.50 to a day high of ₹5.91. |
90 days | ₹5.10 | ₹7.12 | |
52 weeks | ₹5.10 | ₹14.78 |
Historical Kenvi Jewels Limited prices
Date | Open | High | Low | Close | Volume |
Jun 28, 2024 | ₹5.81 | ₹5.91 | ₹5.50 | ₹5.60 | 374 270 |
Jun 27, 2024 | ₹5.86 | ₹5.96 | ₹5.67 | ₹5.80 | 162 516 |
Jun 26, 2024 | ₹5.85 | ₹6.00 | ₹5.84 | ₹5.86 | 414 223 |
Jun 25, 2024 | ₹6.06 | ₹6.14 | ₹5.93 | ₹5.97 | 103 596 |
Jun 24, 2024 | ₹6.20 | ₹6.20 | ₹5.90 | ₹6.07 | 95 863 |
Jun 21, 2024 | ₹6.13 | ₹6.20 | ₹6.05 | ₹6.13 | 107 768 |
Jun 20, 2024 | ₹6.18 | ₹6.25 | ₹6.05 | ₹6.16 | 122 323 |
Jun 19, 2024 | ₹5.99 | ₹6.60 | ₹5.86 | ₹6.14 | 564 049 |
Jun 18, 2024 | ₹5.95 | ₹6.04 | ₹5.85 | ₹5.89 | 202 717 |
Jun 14, 2024 | ₹6.06 | ₹6.06 | ₹5.90 | ₹5.95 | 128 215 |
Jun 13, 2024 | ₹6.16 | ₹6.16 | ₹5.80 | ₹6.00 | 298 575 |
Jun 12, 2024 | ₹6.00 | ₹6.16 | ₹6.00 | ₹6.09 | 185 561 |
Jun 11, 2024 | ₹6.11 | ₹6.25 | ₹5.91 | ₹6.02 | 226 191 |
Jun 10, 2024 | ₹6.01 | ₹6.25 | ₹6.01 | ₹6.10 | 197 858 |
Jun 07, 2024 | ₹6.30 | ₹6.50 | ₹6.05 | ₹6.10 | 238 629 |
Jun 06, 2024 | ₹5.66 | ₹6.40 | ₹5.40 | ₹6.20 | 1 446 969 |
Jun 05, 2024 | ₹5.53 | ₹5.80 | ₹5.25 | ₹5.47 | 186 204 |
Jun 04, 2024 | ₹5.88 | ₹5.88 | ₹5.12 | ₹5.53 | 267 626 |
Jun 03, 2024 | ₹5.88 | ₹5.88 | ₹5.65 | ₹5.74 | 112 786 |
May 31, 2024 | ₹5.70 | ₹5.89 | ₹5.65 | ₹5.71 | 173 109 |
May 30, 2024 | ₹5.73 | ₹5.90 | ₹5.51 | ₹5.78 | 146 720 |
May 29, 2024 | ₹5.95 | ₹5.95 | ₹5.60 | ₹5.88 | 136 743 |
May 28, 2024 | ₹5.85 | ₹5.95 | ₹5.76 | ₹5.79 | 103 996 |
May 27, 2024 | ₹5.96 | ₹5.96 | ₹5.80 | ₹5.81 | 188 432 |
May 24, 2024 | ₹5.98 | ₹5.99 | ₹5.80 | ₹5.93 | 238 446 |
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 KENVI.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the KENVI.BO 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 KENVI.BO 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.