₹6.93
-0.0400 (-0.574%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹6.82 | ₹9.15 | Tuesday, 18th Nov 2025 VARDMNPOLY.NS stock ended at ₹6.93. This is 0.574% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 3.65% from a day low at ₹6.85 to a day high of ₹7.10. |
| 90 days | ₹6.82 | ₹10.48 | |
| 52 weeks | ₹6.82 | ₹15.39 |
Historical Vardhman Polytex Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | ₹7.10 | ₹7.10 | ₹6.85 | ₹6.93 | 129 616 |
| Nov 17, 2025 | ₹7.10 | ₹7.16 | ₹6.92 | ₹6.97 | 399 543 |
| Nov 14, 2025 | ₹7.02 | ₹7.16 | ₹6.95 | ₹7.06 | 96 944 |
| Nov 13, 2025 | ₹7.01 | ₹7.25 | ₹6.95 | ₹6.99 | 990 212 |
| Nov 12, 2025 | ₹7.25 | ₹7.66 | ₹6.82 | ₹7.01 | 1 697 412 |
| Nov 11, 2025 | ₹7.74 | ₹7.74 | ₹7.09 | ₹7.12 | 875 073 |
| Nov 10, 2025 | ₹7.64 | ₹7.74 | ₹7.52 | ₹7.59 | 303 498 |
| Nov 07, 2025 | ₹7.63 | ₹7.78 | ₹7.52 | ₹7.64 | 192 955 |
| Nov 06, 2025 | ₹7.95 | ₹8.00 | ₹7.60 | ₹7.63 | 256 593 |
| Nov 04, 2025 | ₹8.36 | ₹8.36 | ₹7.68 | ₹7.81 | 545 736 |
| Nov 03, 2025 | ₹7.94 | ₹9.15 | ₹7.76 | ₹8.22 | 284 785 |
| Oct 31, 2025 | ₹7.84 | ₹8.09 | ₹7.75 | ₹7.94 | 362 763 |
| Oct 30, 2025 | ₹8.10 | ₹8.10 | ₹7.60 | ₹7.84 | 368 951 |
| Oct 29, 2025 | ₹7.92 | ₹8.13 | ₹7.82 | ₹7.96 | 177 270 |
| Oct 28, 2025 | ₹8.10 | ₹8.22 | ₹7.80 | ₹7.96 | 364 596 |
| Oct 27, 2025 | ₹8.23 | ₹8.40 | ₹8.01 | ₹8.10 | 210 536 |
| Oct 24, 2025 | ₹8.20 | ₹8.20 | ₹8.05 | ₹8.10 | 90 082 |
| Oct 23, 2025 | ₹8.42 | ₹8.42 | ₹8.10 | ₹8.14 | 245 495 |
| Oct 20, 2025 | ₹8.29 | ₹8.29 | ₹8.06 | ₹8.13 | 154 644 |
| Oct 17, 2025 | ₹8.42 | ₹8.54 | ₹7.93 | ₹8.00 | 757 365 |
| Oct 16, 2025 | ₹8.67 | ₹8.86 | ₹8.34 | ₹8.41 | 249 887 |
| Oct 15, 2025 | ₹8.59 | ₹8.69 | ₹8.43 | ₹8.50 | 164 818 |
| Oct 14, 2025 | ₹8.93 | ₹8.96 | ₹8.01 | ₹8.33 | 427 324 |
| Oct 13, 2025 | ₹8.93 | ₹9.10 | ₹8.90 | ₹8.93 | 651 890 |
| Oct 10, 2025 | ₹8.10 | ₹9.49 | ₹7.86 | ₹8.91 | 1 900 358 |
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 VARDMNPOLY.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the VARDMNPOLY.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 VARDMNPOLY.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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