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 |
Jun 23, 2023 | ₹9,420.00 | ₹9,427.00 | ₹9,305.00 | ₹9,327.30 | 309 052 |
Jun 22, 2023 | ₹9,439.05 | ₹9,494.35 | ₹9,373.80 | ₹9,403.05 | 288 449 |
Jun 21, 2023 | ₹9,502.00 | ₹9,537.00 | ₹9,396.05 | ₹9,440.85 | 356 293 |
Jun 20, 2023 | ₹9,530.00 | ₹9,538.90 | ₹9,420.00 | ₹9,492.10 | 612 685 |
Jun 19, 2023 | ₹9,638.00 | ₹9,642.15 | ₹9,510.00 | ₹9,532.00 | 394 984 |
Jun 16, 2023 | ₹9,595.05 | ₹9,643.40 | ₹9,552.00 | ₹9,603.70 | 682 011 |
Jun 15, 2023 | ₹9,555.00 | ₹9,697.80 | ₹9,543.00 | ₹9,594.85 | 459 906 |
Jun 14, 2023 | ₹9,520.00 | ₹9,599.00 | ₹9,490.50 | ₹9,532.50 | 328 122 |
Jun 13, 2023 | ₹9,588.00 | ₹9,618.05 | ₹9,505.65 | ₹9,517.50 | 560 981 |
Jun 12, 2023 | ₹9,625.00 | ₹9,700.00 | ₹9,537.65 | ₹9,550.45 | 316 828 |
Jun 09, 2023 | ₹9,675.50 | ₹9,713.90 | ₹9,611.10 | ₹9,627.80 | 161 377 |
Jun 08, 2023 | ₹9,733.00 | ₹9,765.00 | ₹9,625.50 | ₹9,658.60 | 273 672 |
Jun 07, 2023 | ₹9,788.00 | ₹9,800.00 | ₹9,650.50 | ₹9,707.50 | 453 465 |
Jun 06, 2023 | ₹9,629.00 | ₹9,770.00 | ₹9,611.00 | ₹9,736.20 | 542 291 |
Jun 05, 2023 | ₹9,552.50 | ₹9,640.00 | ₹9,488.55 | ₹9,582.10 | 434 588 |
Jun 02, 2023 | ₹9,389.00 | ₹9,525.15 | ₹9,312.70 | ₹9,485.35 | 444 947 |
Jun 01, 2023 | ₹9,337.50 | ₹9,377.55 | ₹9,222.00 | ₹9,328.30 | 378 701 |
May 31, 2023 | ₹9,449.95 | ₹9,449.95 | ₹9,267.60 | ₹9,367.70 | 1 614 657 |
May 30, 2023 | ₹9,380.00 | ₹9,402.90 | ₹9,300.00 | ₹9,383.35 | 371 993 |
May 29, 2023 | ₹9,435.00 | ₹9,488.80 | ₹9,312.05 | ₹9,333.50 | 236 761 |
May 26, 2023 | ₹9,333.00 | ₹9,415.00 | ₹9,311.25 | ₹9,399.95 | 346 549 |
May 25, 2023 | ₹9,220.75 | ₹9,293.40 | ₹9,216.05 | ₹9,281.85 | 218 950 |
May 24, 2023 | ₹9,168.00 | ₹9,318.20 | ₹9,159.00 | ₹9,270.75 | 470 334 |
May 23, 2023 | ₹9,169.00 | ₹9,235.00 | ₹9,156.75 | ₹9,200.70 | 268 991 |
May 22, 2023 | ₹9,090.00 | ₹9,169.70 | ₹9,073.85 | ₹9,156.65 | 182 100 |
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.