₹1,082.70
-7.10 (-0.651%)
At Close: Jun 03, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹1,007.50 | ₹1,189.70 | Wednesday, 3rd Jun 2026 UNOMINDA.NS stock ended at ₹1,082.70. This is 0.651% less than the trading day before Tuesday, 2nd Jun 2026. During the day the stock fluctuated 2.36% from a day low at ₹1,068.40 to a day high of ₹1,093.60. |
| 90 days | ₹994.00 | ₹1,189.70 | |
| 52 weeks | ₹994.00 | ₹1,382.00 |
Historical Uno Minda Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 03, 2026 | ₹1,088.30 | ₹1,093.60 | ₹1,068.40 | ₹1,082.70 | 988 557 |
| Jun 02, 2026 | ₹1,077.40 | ₹1,096.80 | ₹1,057.20 | ₹1,089.80 | 703 075 |
| Jun 01, 2026 | ₹1,106.00 | ₹1,113.90 | ₹1,070.00 | ₹1,079.40 | 582 954 |
| May 29, 2026 | ₹1,130.00 | ₹1,136.80 | ₹1,095.30 | ₹1,101.70 | 969 269 |
| May 26, 2026 | ₹1,118.00 | ₹1,125.40 | ₹1,107.10 | ₹1,114.90 | 419 768 |
| May 25, 2026 | ₹1,100.00 | ₹1,123.60 | ₹1,099.00 | ₹1,118.50 | 1 330 584 |
| May 22, 2026 | ₹1,085.00 | ₹1,112.80 | ₹1,071.20 | ₹1,089.30 | 1 131 408 |
| May 21, 2026 | ₹1,066.00 | ₹1,084.40 | ₹1,057.10 | ₹1,079.10 | 1 269 625 |
| May 20, 2026 | ₹1,050.00 | ₹1,064.90 | ₹1,022.30 | ₹1,056.40 | 0 |
| May 19, 2026 | ₹1,057.60 | ₹1,062.30 | ₹1,007.50 | ₹1,051.90 | 2 657 444 |
| May 18, 2026 | ₹1,122.60 | ₹1,161.50 | ₹1,060.10 | ₹1,067.80 | 2 592 603 |
| May 15, 2026 | ₹1,130.00 | ₹1,133.90 | ₹1,110.10 | ₹1,121.80 | 625 328 |
| May 14, 2026 | ₹1,134.00 | ₹1,137.00 | ₹1,102.10 | ₹1,122.30 | 707 024 |
| May 13, 2026 | ₹1,138.50 | ₹1,154.80 | ₹1,120.00 | ₹1,126.30 | 1 337 328 |
| May 12, 2026 | ₹1,168.10 | ₹1,173.90 | ₹1,136.20 | ₹1,145.00 | 560 793 |
| May 11, 2026 | ₹1,164.90 | ₹1,180.10 | ₹1,153.30 | ₹1,173.10 | 626 359 |
| May 08, 2026 | ₹1,143.00 | ₹1,189.70 | ₹1,141.40 | ₹1,178.90 | 1 117 638 |
| May 07, 2026 | ₹1,138.60 | ₹1,149.00 | ₹1,115.50 | ₹1,145.70 | 883 497 |
| May 06, 2026 | ₹1,094.80 | ₹1,133.20 | ₹1,086.50 | ₹1,127.90 | 1 267 811 |
| May 05, 2026 | ₹1,104.10 | ₹1,111.50 | ₹1,066.30 | ₹1,087.10 | 1 093 103 |
| May 04, 2026 | ₹1,123.50 | ₹1,138.90 | ₹1,104.60 | ₹1,109.80 | 637 277 |
| Apr 30, 2026 | ₹1,127.10 | ₹1,127.10 | ₹1,099.10 | ₹1,112.50 | 567 962 |
| Apr 29, 2026 | ₹1,133.00 | ₹1,165.00 | ₹1,126.30 | ₹1,131.80 | 749 982 |
| Apr 28, 2026 | ₹1,131.10 | ₹1,134.70 | ₹1,119.70 | ₹1,129.70 | 602 535 |
| Apr 27, 2026 | ₹1,108.10 | ₹1,138.30 | ₹1,101.30 | ₹1,130.90 | 503 861 |
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 UNOMINDA.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the UNOMINDA.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 UNOMINDA.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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