Sobha Limited Stock Price (Quote)
₹1,999.10
+52.45 (+2.69%)
At Close: May 27, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹1,621.00 | ₹2,093.70 | Monday, 27th May 2024 SOBHA.NS stock ended at ₹1,999.10. This is 2.69% more than the trading day before Friday, 24th May 2024. During the day the stock fluctuated 6.43% from a day low at ₹1,967.15 to a day high of ₹2,093.70. |
90 days | ₹1,207.05 | ₹2,093.70 | |
52 weeks | ₹505.50 | ₹2,093.70 |
Date | Open | High | Low | Close | Volume |
Sep 11, 2023 | ₹687.00 | ₹709.30 | ₹677.85 | ₹681.25 | 1 238 479 |
Sep 08, 2023 | ₹624.00 | ₹713.00 | ₹623.05 | ₹682.15 | 7 284 520 |
Sep 07, 2023 | ₹596.60 | ₹618.00 | ₹595.40 | ₹615.15 | 400 133 |
Sep 06, 2023 | ₹613.95 | ₹616.00 | ₹595.50 | ₹600.70 | 351 743 |
Sep 05, 2023 | ₹612.45 | ₹631.95 | ₹605.60 | ₹610.00 | 584 065 |
Sep 04, 2023 | ₹614.00 | ₹615.70 | ₹606.95 | ₹612.35 | 996 541 |
Sep 01, 2023 | ₹612.95 | ₹617.80 | ₹607.35 | ₹610.20 | 171 297 |
Aug 31, 2023 | ₹613.50 | ₹614.65 | ₹602.00 | ₹610.35 | 232 735 |
Aug 30, 2023 | ₹609.00 | ₹614.00 | ₹607.65 | ₹610.00 | 222 572 |
Aug 29, 2023 | ₹606.50 | ₹614.00 | ₹602.15 | ₹608.90 | 519 246 |
Aug 28, 2023 | ₹593.00 | ₹602.45 | ₹589.80 | ₹601.00 | 452 713 |
Aug 25, 2023 | ₹588.10 | ₹594.65 | ₹583.00 | ₹588.45 | 398 899 |
Aug 24, 2023 | ₹586.55 | ₹588.00 | ₹579.60 | ₹586.00 | 190 687 |
Aug 23, 2023 | ₹578.10 | ₹587.00 | ₹578.10 | ₹581.90 | 169 824 |
Aug 22, 2023 | ₹581.50 | ₹590.20 | ₹574.35 | ₹577.50 | 406 952 |
Aug 21, 2023 | ₹585.00 | ₹588.00 | ₹577.00 | ₹579.10 | 219 449 |
Aug 18, 2023 | ₹570.70 | ₹590.00 | ₹570.25 | ₹579.90 | 529 252 |
Aug 17, 2023 | ₹562.95 | ₹575.20 | ₹560.95 | ₹569.40 | 482 930 |
Aug 16, 2023 | ₹565.00 | ₹567.20 | ₹555.00 | ₹560.10 | 198 843 |
Aug 14, 2023 | ₹570.55 | ₹575.05 | ₹554.40 | ₹562.00 | 293 729 |
Aug 11, 2023 | ₹581.00 | ₹583.60 | ₹565.15 | ₹567.80 | 383 067 |
Aug 10, 2023 | ₹589.30 | ₹594.40 | ₹576.35 | ₹578.95 | 390 501 |
Aug 09, 2023 | ₹581.00 | ₹589.20 | ₹576.05 | ₹580.80 | 418 451 |
Aug 08, 2023 | ₹598.00 | ₹598.00 | ₹574.50 | ₹581.40 | 1 191 841 |
Aug 07, 2023 | ₹596.90 | ₹610.00 | ₹591.55 | ₹602.25 | 491 504 |
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 SOBHA.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the SOBHA.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 SOBHA.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.