₹343.50
-11.10 (-3.13%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹342.60 | ₹382.00 | Tuesday, 18th Nov 2025 MOIL.NS stock ended at ₹343.50. This is 3.13% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 3.90% from a day low at ₹342.60 to a day high of ₹355.95. |
| 90 days | ₹323.60 | ₹404.90 | |
| 52 weeks | ₹274.05 | ₹405.60 |
Historical MOIL Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | ₹355.60 | ₹355.95 | ₹342.60 | ₹343.50 | 785 270 |
| Nov 17, 2025 | ₹357.95 | ₹360.00 | ₹353.20 | ₹354.60 | 397 946 |
| Nov 14, 2025 | ₹362.00 | ₹363.45 | ₹355.20 | ₹356.00 | 615 470 |
| Nov 13, 2025 | ₹369.70 | ₹377.00 | ₹362.10 | ₹364.00 | 1 087 180 |
| Nov 12, 2025 | ₹375.00 | ₹380.40 | ₹367.20 | ₹368.50 | 1 243 703 |
| Nov 11, 2025 | ₹366.95 | ₹377.90 | ₹363.25 | ₹372.95 | 1 288 607 |
| Nov 10, 2025 | ₹358.15 | ₹369.90 | ₹358.15 | ₹367.10 | 592 857 |
| Nov 07, 2025 | ₹357.00 | ₹361.10 | ₹353.00 | ₹358.15 | 411 143 |
| Nov 06, 2025 | ₹364.00 | ₹368.50 | ₹355.90 | ₹357.35 | 558 796 |
| Nov 04, 2025 | ₹369.90 | ₹369.90 | ₹362.00 | ₹364.05 | 532 639 |
| Nov 03, 2025 | ₹366.00 | ₹373.55 | ₹365.35 | ₹370.40 | 388 827 |
| Oct 31, 2025 | ₹370.40 | ₹371.00 | ₹365.15 | ₹365.90 | 267 251 |
| Oct 30, 2025 | ₹374.95 | ₹374.95 | ₹369.05 | ₹370.40 | 353 278 |
| Oct 29, 2025 | ₹368.00 | ₹380.95 | ₹366.60 | ₹374.50 | 943 512 |
| Oct 28, 2025 | ₹368.00 | ₹369.55 | ₹365.65 | ₹367.20 | 378 637 |
| Oct 27, 2025 | ₹374.90 | ₹376.40 | ₹365.00 | ₹368.30 | 470 448 |
| Oct 24, 2025 | ₹370.00 | ₹382.00 | ₹369.90 | ₹373.85 | 986 574 |
| Oct 23, 2025 | ₹378.00 | ₹378.20 | ₹367.05 | ₹369.55 | 623 643 |
| Oct 20, 2025 | ₹369.20 | ₹372.95 | ₹364.50 | ₹371.10 | 596 702 |
| Oct 17, 2025 | ₹379.95 | ₹381.85 | ₹367.15 | ₹368.90 | 735 040 |
| Oct 16, 2025 | ₹387.50 | ₹387.80 | ₹378.90 | ₹379.55 | 995 557 |
| Oct 15, 2025 | ₹376.40 | ₹391.75 | ₹374.05 | ₹386.65 | 1 459 109 |
| Oct 14, 2025 | ₹378.90 | ₹389.40 | ₹374.20 | ₹376.05 | 1 077 817 |
| Oct 13, 2025 | ₹383.00 | ₹384.10 | ₹375.90 | ₹378.00 | 594 578 |
| Oct 10, 2025 | ₹391.00 | ₹392.30 | ₹381.05 | ₹387.05 | 1 109 446 |
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 MOIL.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the MOIL.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 MOIL.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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