₹169.82
-5.02 (-2.87%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹168.96 | ₹198.00 | Tuesday, 18th Nov 2025 GIPCL.NS stock ended at ₹169.82. This is 2.87% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 2.98% from a day low at ₹168.96 to a day high of ₹174.00. |
| 90 days | ₹168.96 | ₹202.05 | |
| 52 weeks | ₹148.10 | ₹268.50 |
Historical Gujarat Industries Power Company Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | ₹173.15 | ₹174.00 | ₹168.96 | ₹169.82 | 312 685 |
| Nov 17, 2025 | ₹169.58 | ₹176.00 | ₹169.58 | ₹174.84 | 408 072 |
| Nov 14, 2025 | ₹170.58 | ₹171.79 | ₹169.01 | ₹169.93 | 150 166 |
| Nov 13, 2025 | ₹178.45 | ₹178.45 | ₹170.10 | ₹170.58 | 655 019 |
| Nov 12, 2025 | ₹178.02 | ₹181.70 | ₹176.41 | ₹178.76 | 278 566 |
| Nov 11, 2025 | ₹175.88 | ₹177.41 | ₹174.00 | ₹175.98 | 226 921 |
| Nov 10, 2025 | ₹175.80 | ₹178.00 | ₹175.21 | ₹175.70 | 134 923 |
| Nov 07, 2025 | ₹176.00 | ₹176.16 | ₹173.68 | ₹175.15 | 239 927 |
| Nov 06, 2025 | ₹180.00 | ₹180.02 | ₹175.50 | ₹176.00 | 152 832 |
| Nov 04, 2025 | ₹182.63 | ₹182.63 | ₹178.06 | ₹178.56 | 231 263 |
| Nov 03, 2025 | ₹182.50 | ₹184.03 | ₹181.24 | ₹181.90 | 222 227 |
| Oct 31, 2025 | ₹184.85 | ₹184.90 | ₹182.51 | ₹182.83 | 113 678 |
| Oct 30, 2025 | ₹184.50 | ₹186.94 | ₹183.11 | ₹184.11 | 226 685 |
| Oct 29, 2025 | ₹182.58 | ₹185.66 | ₹182.20 | ₹185.00 | 284 656 |
| Oct 28, 2025 | ₹182.70 | ₹184.00 | ₹181.02 | ₹181.85 | 213 218 |
| Oct 27, 2025 | ₹183.50 | ₹183.90 | ₹181.61 | ₹182.65 | 265 475 |
| Oct 24, 2025 | ₹190.00 | ₹191.95 | ₹181.65 | ₹182.30 | 1 922 219 |
| Oct 23, 2025 | ₹186.49 | ₹198.00 | ₹182.60 | ₹190.61 | 1 291 244 |
| Oct 20, 2025 | ₹174.20 | ₹187.12 | ₹174.00 | ₹184.63 | 1 938 435 |
| Oct 17, 2025 | ₹175.60 | ₹176.08 | ₹172.53 | ₹173.34 | 215 810 |
| Oct 16, 2025 | ₹175.63 | ₹177.87 | ₹173.51 | ₹175.60 | 264 618 |
| Oct 15, 2025 | ₹176.65 | ₹179.51 | ₹173.69 | ₹174.94 | 561 647 |
| Oct 14, 2025 | ₹181.25 | ₹182.98 | ₹175.60 | ₹176.61 | 342 633 |
| Oct 13, 2025 | ₹183.00 | ₹183.69 | ₹180.05 | ₹181.27 | 204 094 |
| Oct 10, 2025 | ₹181.79 | ₹185.39 | ₹181.79 | ₹184.07 | 212 981 |
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 GIPCL.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the GIPCL.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 GIPCL.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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