₹182.49
+5.94 (+3.36%)
At Close: Jun 12, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹175.50 | ₹231.00 | Friday, 12th Jun 2026 KROSS.NS stock ended at ₹182.49. This is 3.36% more than the trading day before Thursday, 11th Jun 2026. During the day the stock fluctuated 2.81% from a day low at ₹179.05 to a day high of ₹184.09. |
| 90 days | ₹150.52 | ₹231.00 | |
| 52 weeks | ₹150.52 | ₹237.60 |
Historical Kross Ltd. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 12, 2026 | ₹179.05 | ₹184.09 | ₹179.05 | ₹182.49 | 229 836 |
| Jun 11, 2026 | ₹180.00 | ₹180.54 | ₹175.50 | ₹176.55 | 189 585 |
| Jun 10, 2026 | ₹185.89 | ₹185.89 | ₹178.36 | ₹180.04 | 158 904 |
| Jun 09, 2026 | ₹184.00 | ₹186.00 | ₹181.43 | ₹184.11 | 288 440 |
| Jun 08, 2026 | ₹178.00 | ₹185.00 | ₹176.70 | ₹181.43 | 456 928 |
| Jun 05, 2026 | ₹192.50 | ₹194.39 | ₹176.10 | ₹178.11 | 1 247 807 |
| Jun 04, 2026 | ₹189.90 | ₹195.00 | ₹189.89 | ₹191.43 | 179 025 |
| Jun 03, 2026 | ₹193.00 | ₹193.00 | ₹188.21 | ₹190.63 | 151 227 |
| Jun 02, 2026 | ₹190.61 | ₹193.00 | ₹186.00 | ₹192.48 | 198 359 |
| Jun 01, 2026 | ₹194.50 | ₹198.10 | ₹187.59 | ₹189.10 | 385 572 |
| May 29, 2026 | ₹192.05 | ₹194.84 | ₹190.05 | ₹191.00 | 252 143 |
| May 26, 2026 | ₹193.00 | ₹199.50 | ₹192.37 | ₹193.28 | 348 638 |
| May 25, 2026 | ₹191.25 | ₹194.90 | ₹191.20 | ₹193.00 | 242 385 |
| May 22, 2026 | ₹194.00 | ₹194.00 | ₹189.01 | ₹189.64 | 248 773 |
| May 21, 2026 | ₹193.99 | ₹197.95 | ₹190.25 | ₹191.55 | 348 184 |
| May 20, 2026 | ₹188.99 | ₹192.00 | ₹186.69 | ₹191.00 | 0 |
| May 19, 2026 | ₹186.00 | ₹193.80 | ₹183.99 | ₹191.39 | 539 214 |
| May 18, 2026 | ₹188.80 | ₹188.80 | ₹182.50 | ₹184.51 | 456 997 |
| May 15, 2026 | ₹193.00 | ₹194.84 | ₹188.19 | ₹188.76 | 611 610 |
| May 14, 2026 | ₹208.98 | ₹210.40 | ₹187.65 | ₹192.04 | 1 953 611 |
| May 13, 2026 | ₹215.00 | ₹231.00 | ₹206.00 | ₹208.01 | 9 658 368 |
| May 12, 2026 | ₹222.06 | ₹223.70 | ₹201.28 | ₹203.08 | 759 604 |
| May 11, 2026 | ₹225.00 | ₹229.16 | ₹218.60 | ₹224.73 | 1 037 625 |
| May 08, 2026 | ₹217.90 | ₹230.00 | ₹217.12 | ₹225.74 | 5 008 352 |
| May 07, 2026 | ₹196.00 | ₹224.25 | ₹196.00 | ₹215.94 | 14 721 701 |
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 KROSS.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the KROSS.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 KROSS.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.
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