₹390.00
+14.10 (+3.75%)
At Close: Jun 12, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹333.65 | ₹408.00 | Friday, 12th Jun 2026 TMPV.NS stock ended at ₹390.00. This is 3.75% more than the trading day before Thursday, 11th Jun 2026. During the day the stock fluctuated 3.68% from a day low at ₹379.00 to a day high of ₹392.95. |
| 90 days | ₹294.30 | ₹408.00 | |
| 52 weeks | ₹294.30 | ₹722.25 |
Historical Tata Motors Passenger Vehicles prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 12, 2026 | ₹380.25 | ₹392.95 | ₹379.00 | ₹390.00 | 7 782 710 |
| Jun 11, 2026 | ₹375.00 | ₹378.40 | ₹372.35 | ₹375.90 | 6 507 460 |
| Jun 10, 2026 | ₹388.00 | ₹388.80 | ₹380.00 | ₹381.00 | 7 250 908 |
| Jun 09, 2026 | ₹393.95 | ₹395.45 | ₹386.80 | ₹387.80 | 8 550 031 |
| Jun 08, 2026 | ₹392.00 | ₹392.90 | ₹387.00 | ₹389.00 | 7 585 368 |
| Jun 05, 2026 | ₹401.00 | ₹403.05 | ₹393.60 | ₹397.80 | 9 552 946 |
| Jun 04, 2026 | ₹396.20 | ₹401.20 | ₹391.00 | ₹399.70 | 12 065 333 |
| Jun 03, 2026 | ₹392.05 | ₹399.80 | ₹384.85 | ₹398.15 | 8 635 523 |
| Jun 02, 2026 | ₹379.60 | ₹391.90 | ₹377.30 | ₹390.20 | 12 788 366 |
| Jun 01, 2026 | ₹395.00 | ₹398.85 | ₹383.85 | ₹384.90 | 8 625 941 |
| May 29, 2026 | ₹400.95 | ₹408.00 | ₹390.70 | ₹393.90 | 31 208 176 |
| May 26, 2026 | ₹373.75 | ₹387.30 | ₹371.80 | ₹385.60 | 21 341 251 |
| May 25, 2026 | ₹366.15 | ₹374.30 | ₹366.15 | ₹373.25 | 10 354 031 |
| May 22, 2026 | ₹364.50 | ₹365.65 | ₹361.75 | ₹363.35 | 6 934 674 |
| May 21, 2026 | ₹364.00 | ₹366.00 | ₹359.00 | ₹361.35 | 10 833 644 |
| May 20, 2026 | ₹358.65 | ₹365.00 | ₹356.10 | ₹361.25 | 0 |
| May 19, 2026 | ₹352.90 | ₹365.80 | ₹352.90 | ₹361.20 | 15 118 919 |
| May 18, 2026 | ₹354.80 | ₹358.25 | ₹351.10 | ₹353.15 | 10 408 145 |
| May 15, 2026 | ₹352.00 | ₹366.95 | ₹352.00 | ₹356.55 | 51 686 764 |
| May 14, 2026 | ₹340.05 | ₹340.60 | ₹333.65 | ₹338.75 | 7 969 137 |
| May 13, 2026 | ₹335.00 | ₹342.40 | ₹334.00 | ₹336.85 | 5 691 028 |
| May 12, 2026 | ₹343.85 | ₹345.70 | ₹336.00 | ₹336.85 | 5 757 893 |
| May 11, 2026 | ₹352.30 | ₹352.30 | ₹345.20 | ₹346.00 | 4 282 148 |
| May 08, 2026 | ₹356.00 | ₹357.45 | ₹353.70 | ₹355.45 | 4 615 005 |
| May 07, 2026 | ₹360.20 | ₹361.45 | ₹357.05 | ₹359.25 | 6 973 768 |
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 TMPV.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the TMPV.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 TMPV.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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