₹122.38
-0.620 (-0.504%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹114.25 | ₹124.85 | Tuesday, 18th Nov 2025 PNB.NS stock ended at ₹122.38. This is 0.504% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 1.32% from a day low at ₹122.17 to a day high of ₹123.78. |
| 90 days | ₹100.60 | ₹124.85 | |
| 52 weeks | ₹85.46 | ₹124.85 |
Historical Punjab National Bank prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | ₹123.64 | ₹123.78 | ₹122.17 | ₹122.38 | 10 069 527 |
| Nov 17, 2025 | ₹122.70 | ₹124.85 | ₹122.31 | ₹123.00 | 18 034 642 |
| Nov 14, 2025 | ₹121.40 | ₹122.58 | ₹121.35 | ₹122.21 | 7 532 883 |
| Nov 13, 2025 | ₹122.61 | ₹123.50 | ₹120.80 | ₹121.07 | 10 826 651 |
| Nov 12, 2025 | ₹122.50 | ₹123.30 | ₹122.00 | ₹122.45 | 10 324 250 |
| Nov 11, 2025 | ₹122.36 | ₹122.62 | ₹120.07 | ₹122.02 | 13 742 368 |
| Nov 10, 2025 | ₹122.50 | ₹123.24 | ₹121.56 | ₹122.34 | 10 671 980 |
| Nov 07, 2025 | ₹120.40 | ₹122.98 | ₹118.86 | ₹122.38 | 16 925 097 |
| Nov 06, 2025 | ₹123.99 | ₹123.99 | ₹120.16 | ₹120.46 | 18 895 849 |
| Nov 04, 2025 | ₹123.15 | ₹123.79 | ₹122.22 | ₹123.25 | 14 178 400 |
| Nov 03, 2025 | ₹123.10 | ₹124.48 | ₹122.69 | ₹123.52 | 19 496 284 |
| Oct 31, 2025 | ₹120.40 | ₹124.05 | ₹120.08 | ₹122.89 | 37 502 434 |
| Oct 30, 2025 | ₹121.05 | ₹121.89 | ₹119.70 | ₹120.09 | 23 106 043 |
| Oct 29, 2025 | ₹120.90 | ₹122.35 | ₹120.70 | ₹121.10 | 18 346 350 |
| Oct 28, 2025 | ₹120.08 | ₹121.50 | ₹119.20 | ₹121.13 | 37 011 934 |
| Oct 27, 2025 | ₹117.45 | ₹120.40 | ₹116.99 | ₹119.63 | 17 701 374 |
| Oct 24, 2025 | ₹118.22 | ₹118.69 | ₹116.27 | ₹116.94 | 13 111 848 |
| Oct 23, 2025 | ₹118.20 | ₹120.20 | ₹117.71 | ₹118.22 | 31 312 730 |
| Oct 20, 2025 | ₹114.30 | ₹119.16 | ₹114.25 | ₹118.10 | 39 124 653 |
| Oct 17, 2025 | ₹116.15 | ₹116.73 | ₹112.75 | ₹113.70 | 16 737 359 |
| Oct 16, 2025 | ₹116.65 | ₹117.84 | ₹115.97 | ₹116.11 | 15 186 387 |
| Oct 15, 2025 | ₹115.50 | ₹117.17 | ₹115.40 | ₹116.40 | 10 591 487 |
| Oct 14, 2025 | ₹116.96 | ₹117.34 | ₹114.91 | ₹115.27 | 10 874 965 |
| Oct 13, 2025 | ₹116.87 | ₹117.60 | ₹116.10 | ₹116.95 | 11 797 254 |
| Oct 10, 2025 | ₹114.50 | ₹117.85 | ₹114.16 | ₹117.24 | 40 837 946 |
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 PNB.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the PNB.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 PNB.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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