₹1.89
-0.0200 (-1.05%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹1.52 | ₹2.10 | Tuesday, 18th Nov 2025 SUNDARAM.NS stock ended at ₹1.89. This is 1.05% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 2.14% from a day low at ₹1.87 to a day high of ₹1.91. |
| 90 days | ₹1.52 | ₹2.38 | |
| 52 weeks | ₹1.52 | ₹2.84 |
Historical Sundaram Multi Pap Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | ₹1.90 | ₹1.91 | ₹1.87 | ₹1.89 | 300 866 |
| Nov 17, 2025 | ₹1.89 | ₹1.92 | ₹1.87 | ₹1.91 | 480 864 |
| Nov 14, 2025 | ₹1.89 | ₹1.92 | ₹1.87 | ₹1.89 | 284 194 |
| Nov 13, 2025 | ₹1.94 | ₹1.94 | ₹1.87 | ₹1.89 | 564 991 |
| Nov 12, 2025 | ₹1.88 | ₹2.10 | ₹1.87 | ₹1.89 | 5 989 910 |
| Nov 11, 2025 | ₹1.90 | ₹1.91 | ₹1.87 | ₹1.88 | 227 159 |
| Nov 10, 2025 | ₹1.91 | ₹1.91 | ₹1.87 | ₹1.87 | 375 293 |
| Nov 07, 2025 | ₹1.92 | ₹1.92 | ₹1.87 | ₹1.88 | 456 418 |
| Nov 06, 2025 | ₹1.92 | ₹1.98 | ₹1.87 | ₹1.89 | 698 189 |
| Nov 04, 2025 | ₹1.94 | ₹1.96 | ₹1.91 | ₹1.92 | 480 779 |
| Nov 03, 2025 | ₹1.87 | ₹2.05 | ₹1.86 | ₹1.94 | 1 284 310 |
| Oct 31, 2025 | ₹1.83 | ₹1.89 | ₹1.80 | ₹1.85 | 509 955 |
| Oct 30, 2025 | ₹1.88 | ₹1.89 | ₹1.52 | ₹1.82 | 2 901 984 |
| Oct 29, 2025 | ₹1.89 | ₹1.92 | ₹1.82 | ₹1.90 | 463 695 |
| Oct 28, 2025 | ₹1.87 | ₹1.93 | ₹1.86 | ₹1.91 | 803 048 |
| Oct 27, 2025 | ₹1.84 | ₹1.90 | ₹1.82 | ₹1.87 | 1 101 434 |
| Oct 24, 2025 | ₹1.89 | ₹1.92 | ₹1.83 | ₹1.84 | 496 146 |
| Oct 23, 2025 | ₹1.91 | ₹1.92 | ₹1.87 | ₹1.89 | 460 685 |
| Oct 20, 2025 | ₹1.85 | ₹1.93 | ₹1.77 | ₹1.80 | 1 442 180 |
| Oct 17, 2025 | ₹2.06 | ₹2.08 | ₹1.82 | ₹1.85 | 2 207 497 |
| Oct 16, 2025 | ₹1.86 | ₹2.20 | ₹1.83 | ₹2.06 | 4 363 533 |
| Oct 15, 2025 | ₹1.86 | ₹1.86 | ₹1.82 | ₹1.84 | 264 560 |
| Oct 14, 2025 | ₹1.84 | ₹1.87 | ₹1.82 | ₹1.83 | 298 515 |
| Oct 13, 2025 | ₹1.89 | ₹1.89 | ₹1.84 | ₹1.84 | 217 847 |
| Oct 10, 2025 | ₹1.88 | ₹1.92 | ₹1.87 | ₹1.87 | 422 846 |
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 SUNDARAM.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the SUNDARAM.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 SUNDARAM.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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