₹0.790
-0.0100 (-1.25%)
At Close: Aug 10, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹0.730 | ₹0.89 | Monday, 10th Aug 2026 LANDSMILL.BO stock ended at ₹0.790. This is 1.25% less than the trading day before Friday, 7th Aug 2026. During the day the stock fluctuated 2.53% from a day low at ₹0.790 to a day high of ₹0.81. |
| 90 days | ₹0.730 | ₹1.06 | |
| 52 weeks | ₹0.730 | ₹1.75 |
Historical Landsmill Green Ltd prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 10, 2026 | ₹0.80 | ₹0.81 | ₹0.790 | ₹0.790 | 571 226 |
| Aug 07, 2026 | ₹0.80 | ₹0.81 | ₹0.780 | ₹0.80 | 568 560 |
| Aug 06, 2026 | ₹0.82 | ₹0.82 | ₹0.80 | ₹0.80 | 310 311 |
| Aug 05, 2026 | ₹0.82 | ₹0.84 | ₹0.82 | ₹0.82 | 0 |
| Aug 04, 2026 | ₹0.80 | ₹0.81 | ₹0.790 | ₹0.80 | 0 |
| Aug 03, 2026 | ₹0.81 | ₹0.83 | ₹0.80 | ₹0.80 | 345 291 |
| Jul 31, 2026 | ₹0.81 | ₹0.83 | ₹0.80 | ₹0.81 | 370 491 |
| Jul 30, 2026 | ₹0.82 | ₹0.84 | ₹0.80 | ₹0.82 | 596 688 |
| Jul 29, 2026 | ₹0.86 | ₹0.87 | ₹0.82 | ₹0.84 | 731 037 |
| Jul 28, 2026 | ₹0.83 | ₹0.88 | ₹0.82 | ₹0.84 | 1 063 114 |
| Jul 27, 2026 | ₹0.750 | ₹0.89 | ₹0.740 | ₹0.83 | 2 887 518 |
| Jul 24, 2026 | ₹0.750 | ₹0.770 | ₹0.750 | ₹0.760 | 238 095 |
| Jul 23, 2026 | ₹0.760 | ₹0.780 | ₹0.750 | ₹0.750 | 618 342 |
| Jul 22, 2026 | ₹0.760 | ₹0.780 | ₹0.760 | ₹0.770 | 412 606 |
| Jul 21, 2026 | ₹0.740 | ₹0.790 | ₹0.740 | ₹0.770 | 244 917 |
| Jul 20, 2026 | ₹0.750 | ₹0.760 | ₹0.730 | ₹0.740 | 397 116 |
| Jul 17, 2026 | ₹0.760 | ₹0.770 | ₹0.740 | ₹0.750 | 438 124 |
| Jul 16, 2026 | ₹0.750 | ₹0.770 | ₹0.750 | ₹0.750 | 242 831 |
| Jul 15, 2026 | ₹0.750 | ₹0.790 | ₹0.750 | ₹0.760 | 416 297 |
| Jul 14, 2026 | ₹0.750 | ₹0.81 | ₹0.750 | ₹0.750 | 1 415 176 |
| Jul 13, 2026 | ₹0.770 | ₹0.780 | ₹0.740 | ₹0.750 | 1 278 712 |
| Jul 10, 2026 | ₹0.770 | ₹0.790 | ₹0.770 | ₹0.780 | 277 030 |
| Jul 09, 2026 | ₹0.770 | ₹0.80 | ₹0.760 | ₹0.780 | 248 304 |
| Jul 08, 2026 | ₹0.780 | ₹0.790 | ₹0.760 | ₹0.770 | 1 089 274 |
| Jul 07, 2026 | ₹0.790 | ₹0.80 | ₹0.780 | ₹0.80 | 174 279 |
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 LANDSMILL.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the LANDSMILL.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 LANDSMILL.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.
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