The Supreme Industries Limited Stock Price (Quote)
₹5,887.95
-70.10 (-1.18%)
At Close: Jun 25, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹5,196.05 | ₹6,460.00 | Tuesday, 25th Jun 2024 SUPREMEIND.NS stock ended at ₹5,887.95. This is 1.18% less than the trading day before Monday, 24th Jun 2024. During the day the stock fluctuated 2.79% from a day low at ₹5,855.60 to a day high of ₹6,018.85. |
90 days | ₹3,940.15 | ₹6,460.00 | |
52 weeks | ₹3,060.60 | ₹6,460.00 |
Historical The Supreme Industries Limited prices
Date | Open | High | Low | Close | Volume |
Jun 25, 2024 | ₹5,999.95 | ₹6,018.85 | ₹5,855.60 | ₹5,887.95 | 111 985 |
Jun 24, 2024 | ₹5,885.10 | ₹6,020.50 | ₹5,824.25 | ₹5,958.05 | 155 143 |
Jun 21, 2024 | ₹6,230.00 | ₹6,309.70 | ₹5,830.00 | ₹5,864.55 | 298 943 |
Jun 20, 2024 | ₹6,175.00 | ₹6,199.90 | ₹6,070.00 | ₹6,149.55 | 94 694 |
Jun 19, 2024 | ₹6,190.00 | ₹6,248.80 | ₹6,090.00 | ₹6,186.30 | 105 072 |
Jun 18, 2024 | ₹6,079.25 | ₹6,254.70 | ₹6,023.20 | ₹6,156.40 | 175 894 |
Jun 14, 2024 | ₹6,119.90 | ₹6,235.95 | ₹5,941.15 | ₹6,039.55 | 188 043 |
Jun 13, 2024 | ₹6,180.35 | ₹6,360.00 | ₹6,017.10 | ₹6,055.95 | 221 106 |
Jun 12, 2024 | ₹6,159.70 | ₹6,460.00 | ₹6,152.00 | ₹6,160.70 | 297 982 |
Jun 11, 2024 | ₹5,944.90 | ₹6,254.65 | ₹5,856.80 | ₹6,155.35 | 257 908 |
Jun 10, 2024 | ₹5,927.95 | ₹6,005.00 | ₹5,800.10 | ₹5,999.40 | 328 432 |
Jun 07, 2024 | ₹5,689.95 | ₹5,809.95 | ₹5,587.85 | ₹5,748.55 | 249 227 |
Jun 06, 2024 | ₹5,550.00 | ₹5,850.00 | ₹5,498.50 | ₹5,729.50 | 211 621 |
Jun 05, 2024 | ₹5,434.00 | ₹5,726.65 | ₹5,351.10 | ₹5,527.10 | 239 158 |
Jun 04, 2024 | ₹5,590.00 | ₹5,627.15 | ₹5,196.05 | ₹5,288.40 | 150 723 |
Jun 03, 2024 | ₹5,400.00 | ₹5,585.00 | ₹5,400.00 | ₹5,567.30 | 138 836 |
May 31, 2024 | ₹5,539.00 | ₹5,585.95 | ₹5,202.00 | ₹5,277.60 | 882 497 |
May 30, 2024 | ₹5,479.00 | ₹5,555.00 | ₹5,470.00 | ₹5,504.00 | 136 944 |
May 29, 2024 | ₹5,565.35 | ₹5,576.95 | ₹5,412.75 | ₹5,515.50 | 194 649 |
May 28, 2024 | ₹5,579.90 | ₹5,694.65 | ₹5,531.80 | ₹5,641.50 | 116 775 |
May 27, 2024 | ₹5,521.95 | ₹5,839.80 | ₹5,478.40 | ₹5,604.90 | 542 014 |
May 24, 2024 | ₹5,493.05 | ₹5,535.80 | ₹5,436.75 | ₹5,472.65 | 74 486 |
May 23, 2024 | ₹5,484.00 | ₹5,591.80 | ₹5,468.00 | ₹5,512.30 | 144 331 |
May 22, 2024 | ₹5,582.35 | ₹5,620.45 | ₹5,423.00 | ₹5,465.90 | 132 098 |
May 21, 2024 | ₹5,585.00 | ₹5,600.00 | ₹5,401.00 | ₹5,582.35 | 219 399 |
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 SUPREMEIND.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the SUPREMEIND.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 SUPREMEIND.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.