Maruti Suzuki India Limited Stock Price (Quote)
₹12,473.30
-168.20 (-1.33%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹12,239.00 | ₹13,073.95 | Tuesday, 21st May 2024 MARUTI.NS stock ended at ₹12,473.30. This is 1.33% less than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 1.91% from a day low at ₹12,441.80 to a day high of ₹12,678.90. |
90 days | ₹11,129.50 | ₹13,073.95 | |
52 weeks | ₹9,156.75 | ₹13,073.95 |
Date | Open | High | Low | Close | Volume |
Dec 27, 2023 | ₹10,286.00 | ₹10,305.35 | ₹10,230.00 | ₹10,288.50 | 397 656 |
Dec 26, 2023 | ₹10,270.00 | ₹10,281.20 | ₹10,114.70 | ₹10,270.65 | 395 153 |
Dec 22, 2023 | ₹10,050.00 | ₹10,318.00 | ₹10,030.00 | ₹10,217.15 | 652 480 |
Dec 21, 2023 | ₹10,000.00 | ₹10,099.25 | ₹9,900.00 | ₹10,012.85 | 739 655 |
Dec 20, 2023 | ₹10,240.00 | ₹10,309.05 | ₹9,990.00 | ₹10,081.25 | 963 608 |
Dec 19, 2023 | ₹10,319.60 | ₹10,377.00 | ₹10,206.20 | ₹10,233.60 | 585 719 |
Dec 18, 2023 | ₹10,295.00 | ₹10,350.90 | ₹10,226.20 | ₹10,319.60 | 652 404 |
Dec 15, 2023 | ₹10,459.00 | ₹10,476.75 | ₹9,832.60 | ₹10,286.40 | 1 244 546 |
Dec 14, 2023 | ₹10,440.00 | ₹10,495.00 | ₹10,312.30 | ₹10,353.20 | 635 424 |
Dec 13, 2023 | ₹10,360.00 | ₹10,412.90 | ₹10,260.00 | ₹10,380.05 | 603 458 |
Dec 12, 2023 | ₹10,620.00 | ₹10,624.00 | ₹10,301.10 | ₹10,338.40 | 1 088 561 |
Dec 11, 2023 | ₹10,630.00 | ₹10,638.00 | ₹10,500.05 | ₹10,541.75 | 579 702 |
Dec 08, 2023 | ₹10,730.00 | ₹10,748.00 | ₹10,551.00 | ₹10,618.55 | 548 320 |
Dec 07, 2023 | ₹10,790.00 | ₹10,932.85 | ₹10,635.00 | ₹10,696.65 | 704 353 |
Dec 06, 2023 | ₹10,721.90 | ₹10,748.95 | ₹10,590.00 | ₹10,625.75 | 464 108 |
Dec 05, 2023 | ₹10,650.90 | ₹10,770.00 | ₹10,563.40 | ₹10,721.90 | 580 968 |
Dec 04, 2023 | ₹10,695.00 | ₹10,695.10 | ₹10,425.00 | ₹10,599.45 | 625 163 |
Dec 01, 2023 | ₹10,608.00 | ₹10,759.00 | ₹10,533.05 | ₹10,585.70 | 591 454 |
Nov 30, 2023 | ₹10,581.00 | ₹10,649.00 | ₹10,546.10 | ₹10,608.70 | 665 364 |
Nov 29, 2023 | ₹10,570.00 | ₹10,634.55 | ₹10,525.70 | ₹10,599.25 | 343 053 |
Nov 28, 2023 | ₹10,539.95 | ₹10,556.40 | ₹10,506.00 | ₹10,537.55 | 268 026 |
Nov 24, 2023 | ₹10,505.95 | ₹10,566.50 | ₹10,462.00 | ₹10,515.65 | 380 179 |
Nov 23, 2023 | ₹10,487.80 | ₹10,525.00 | ₹10,394.05 | ₹10,488.50 | 453 820 |
Nov 22, 2023 | ₹10,550.00 | ₹10,551.25 | ₹10,420.00 | ₹10,494.55 | 378 891 |
Nov 21, 2023 | ₹10,619.00 | ₹10,619.00 | ₹10,500.00 | ₹10,535.15 | 312 242 |
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.