NSE:MARUTI
Maruti Suzuki India Limited Stock Price (Quote)
₹12,641.50
+0 (+0%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹12,239.00 | ₹13,073.95 | Monday, 20th May 2024 MARUTI.NS stock ended at ₹12,641.50. During the day the stock fluctuated 0% from a day low at ₹12,641.50 to a day high of ₹12,641.50. |
90 days | ₹11,129.50 | ₹13,073.95 | |
52 weeks | ₹9,073.85 | ₹13,073.95 |
Date | Open | High | Low | Close | Volume |
Sep 04, 2023 | ₹10,401.00 | ₹10,467.95 | ₹10,286.30 | ₹10,362.45 | 819 522 |
Sep 01, 2023 | ₹9,999.00 | ₹10,397.95 | ₹9,951.35 | ₹10,331.25 | 1 193 009 |
Aug 31, 2023 | ₹9,770.10 | ₹10,065.00 | ₹9,770.10 | ₹10,003.80 | 1 578 927 |
Aug 30, 2023 | ₹9,660.00 | ₹9,817.95 | ₹9,610.00 | ₹9,796.40 | 543 588 |
Aug 29, 2023 | ₹9,600.00 | ₹9,684.75 | ₹9,506.00 | ₹9,621.25 | 317 161 |
Aug 28, 2023 | ₹9,514.95 | ₹9,670.00 | ₹9,510.00 | ₹9,597.70 | 325 928 |
Aug 25, 2023 | ₹9,554.00 | ₹9,624.75 | ₹9,485.00 | ₹9,505.70 | 346 433 |
Aug 24, 2023 | ₹9,661.65 | ₹9,661.65 | ₹9,555.00 | ₹9,573.70 | 385 494 |
Aug 23, 2023 | ₹9,519.00 | ₹9,640.00 | ₹9,446.00 | ₹9,600.95 | 546 781 |
Aug 22, 2023 | ₹9,420.20 | ₹9,508.05 | ₹9,409.70 | ₹9,491.90 | 435 866 |
Aug 21, 2023 | ₹9,455.55 | ₹9,469.00 | ₹9,413.25 | ₹9,438.80 | 375 172 |
Aug 18, 2023 | ₹9,350.00 | ₹9,470.00 | ₹9,336.65 | ₹9,456.05 | 400 727 |
Aug 17, 2023 | ₹9,414.90 | ₹9,474.75 | ₹9,350.00 | ₹9,375.30 | 402 790 |
Aug 16, 2023 | ₹9,334.00 | ₹9,437.75 | ₹9,254.15 | ₹9,419.55 | 336 292 |
Aug 14, 2023 | ₹9,360.00 | ₹9,364.00 | ₹9,257.90 | ₹9,321.65 | 336 798 |
Aug 11, 2023 | ₹9,397.60 | ₹9,469.00 | ₹9,344.00 | ₹9,356.85 | 498 480 |
Aug 10, 2023 | ₹9,463.10 | ₹9,500.00 | ₹9,342.05 | ₹9,397.60 | 523 382 |
Aug 09, 2023 | ₹9,540.00 | ₹9,540.05 | ₹9,417.50 | ₹9,463.10 | 404 512 |
Aug 08, 2023 | ₹9,539.95 | ₹9,623.00 | ₹9,505.00 | ₹9,542.55 | 430 579 |
Aug 07, 2023 | ₹9,490.00 | ₹9,539.80 | ₹9,422.00 | ₹9,523.80 | 366 274 |
Aug 04, 2023 | ₹9,560.00 | ₹9,616.00 | ₹9,427.00 | ₹9,470.40 | 540 331 |
Aug 03, 2023 | ₹9,598.85 | ₹9,659.95 | ₹9,515.60 | ₹9,543.70 | 614 677 |
Aug 02, 2023 | ₹9,715.00 | ₹9,793.45 | ₹9,520.35 | ₹9,653.80 | 672 704 |
Aug 01, 2023 | ₹9,760.00 | ₹9,892.00 | ₹9,650.05 | ₹9,716.75 | 1 394 350 |
Jul 31, 2023 | ₹9,670.30 | ₹9,835.80 | ₹9,606.00 | ₹9,820.75 | 599 092 |
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 MARUTI.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the MARUTI.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 MARUTI.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.