Sonata Software Limited Stock Price (Quote)
₹564.45
-9.30 (-1.62%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹469.60 | ₹591.70 | Friday, 14th Jun 2024 SONATSOFTW.NS stock ended at ₹564.45. This is 1.62% less than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 2.66% from a day low at ₹563.00 to a day high of ₹578.00. |
90 days | ₹469.60 | ₹769.70 | |
52 weeks | ₹469.60 | ₹1,485.00 |
Historical Sonata Software Limited prices
Date | Open | High | Low | Close | Volume |
Apr 04, 2024 | ₹750.15 | ₹753.90 | ₹738.25 | ₹749.70 | 587 590 |
Apr 03, 2024 | ₹735.00 | ₹748.55 | ₹726.20 | ₹746.05 | 672 176 |
Apr 02, 2024 | ₹717.10 | ₹736.00 | ₹713.60 | ₹730.05 | 573 038 |
Apr 01, 2024 | ₹722.00 | ₹729.50 | ₹711.50 | ₹716.15 | 1 118 873 |
Mar 28, 2024 | ₹750.00 | ₹750.10 | ₹720.00 | ₹722.35 | 442 882 |
Mar 27, 2024 | ₹751.50 | ₹752.00 | ₹736.30 | ₹743.20 | 195 766 |
Mar 26, 2024 | ₹738.00 | ₹750.40 | ₹729.10 | ₹747.60 | 335 328 |
Mar 22, 2024 | ₹742.00 | ₹755.15 | ₹731.05 | ₹742.55 | 953 328 |
Mar 21, 2024 | ₹730.00 | ₹763.00 | ₹722.00 | ₹749.05 | 774 025 |
Mar 20, 2024 | ₹753.10 | ₹756.00 | ₹725.00 | ₹728.65 | 998 363 |
Mar 19, 2024 | ₹750.40 | ₹753.90 | ₹733.65 | ₹750.10 | 291 206 |
Mar 18, 2024 | ₹731.50 | ₹749.10 | ₹723.35 | ₹745.45 | 351 347 |
Mar 15, 2024 | ₹728.00 | ₹747.40 | ₹718.25 | ₹731.50 | 528 254 |
Mar 14, 2024 | ₹737.00 | ₹741.20 | ₹704.05 | ₹728.00 | 964 068 |
Mar 13, 2024 | ₹754.20 | ₹757.70 | ₹705.95 | ₹740.30 | 937 947 |
Mar 12, 2024 | ₹777.70 | ₹782.45 | ₹743.60 | ₹754.20 | 585 745 |
Mar 11, 2024 | ₹793.00 | ₹793.45 | ₹765.00 | ₹782.85 | 277 151 |
Mar 07, 2024 | ₹812.40 | ₹816.95 | ₹785.00 | ₹789.05 | 507 609 |
Mar 06, 2024 | ₹825.00 | ₹825.00 | ₹774.95 | ₹805.10 | 660 155 |
Mar 05, 2024 | ₹811.00 | ₹834.80 | ₹803.20 | ₹822.70 | 430 074 |
Mar 04, 2024 | ₹822.60 | ₹826.15 | ₹797.85 | ₹816.85 | 408 770 |
Mar 01, 2024 | ₹815.00 | ₹825.00 | ₹806.55 | ₹817.30 | 379 856 |
Feb 29, 2024 | ₹840.00 | ₹840.80 | ₹793.15 | ₹810.95 | 1 030 410 |
Feb 28, 2024 | ₹860.20 | ₹864.95 | ₹826.70 | ₹840.80 | 359 826 |
Feb 27, 2024 | ₹854.15 | ₹870.00 | ₹837.45 | ₹857.65 | 434 485 |
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 SONATSOFTW.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the SONATSOFTW.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 SONATSOFTW.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.