₹269.15
-5.80 (-2.11%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹257.85 | ₹281.30 | Tuesday, 18th Nov 2025 AWL.NS stock ended at ₹269.15. This is 2.11% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 3.23% from a day low at ₹266.40 to a day high of ₹275.00. |
| 90 days | ₹247.55 | ₹281.30 | |
| 52 weeks | ₹231.55 | ₹337.05 |
Historical Adani Wilmar Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | ₹274.95 | ₹275.00 | ₹266.40 | ₹269.15 | 1 770 959 |
| Nov 17, 2025 | ₹273.70 | ₹275.40 | ₹270.50 | ₹274.95 | 2 379 632 |
| Nov 14, 2025 | ₹271.70 | ₹274.70 | ₹270.10 | ₹274.20 | 1 267 869 |
| Nov 13, 2025 | ₹272.00 | ₹275.00 | ₹271.65 | ₹272.65 | 949 735 |
| Nov 12, 2025 | ₹272.60 | ₹274.70 | ₹272.00 | ₹272.90 | 960 640 |
| Nov 11, 2025 | ₹270.90 | ₹275.00 | ₹268.45 | ₹273.95 | 1 176 852 |
| Nov 10, 2025 | ₹268.90 | ₹272.25 | ₹267.50 | ₹270.90 | 1 438 313 |
| Nov 07, 2025 | ₹271.10 | ₹272.50 | ₹267.00 | ₹270.80 | 2 600 917 |
| Nov 06, 2025 | ₹277.35 | ₹281.30 | ₹270.10 | ₹271.25 | 3 215 994 |
| Nov 04, 2025 | ₹275.00 | ₹278.10 | ₹271.40 | ₹277.35 | 3 321 947 |
| Nov 03, 2025 | ₹275.00 | ₹276.20 | ₹266.60 | ₹275.10 | 3 689 929 |
| Oct 31, 2025 | ₹275.00 | ₹275.70 | ₹272.75 | ₹274.85 | 1 524 671 |
| Oct 30, 2025 | ₹275.00 | ₹276.90 | ₹271.60 | ₹275.40 | 1 584 835 |
| Oct 29, 2025 | ₹268.25 | ₹276.75 | ₹267.00 | ₹275.55 | 7 699 331 |
| Oct 28, 2025 | ₹265.70 | ₹268.80 | ₹264.05 | ₹268.45 | 1 190 373 |
| Oct 27, 2025 | ₹263.00 | ₹266.15 | ₹261.00 | ₹265.70 | 1 192 774 |
| Oct 24, 2025 | ₹260.30 | ₹264.25 | ₹258.75 | ₹263.25 | 1 071 390 |
| Oct 23, 2025 | ₹260.55 | ₹261.65 | ₹259.30 | ₹260.10 | 1 877 623 |
| Oct 20, 2025 | ₹261.45 | ₹263.05 | ₹257.85 | ₹258.55 | 2 702 776 |
| Oct 17, 2025 | ₹266.15 | ₹266.95 | ₹260.00 | ₹261.50 | 2 335 001 |
| Oct 16, 2025 | ₹267.60 | ₹271.15 | ₹265.00 | ₹266.15 | 1 087 966 |
| Oct 15, 2025 | ₹266.25 | ₹269.90 | ₹266.25 | ₹267.90 | 843 285 |
| Oct 14, 2025 | ₹267.50 | ₹270.15 | ₹265.15 | ₹268.65 | 1 113 272 |
| Oct 13, 2025 | ₹264.90 | ₹270.00 | ₹264.90 | ₹268.70 | 979 318 |
| Oct 10, 2025 | ₹266.50 | ₹270.25 | ₹265.65 | ₹268.95 | 1 252 086 |
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 AWL.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the AWL.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 AWL.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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