Dalmia Bharat Limited Stock Price (Quote)
₹1,882.35
-19.45 (-1.02%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹1,651.40 | ₹1,912.55 | Friday, 14th Jun 2024 DALBHARAT.NS stock ended at ₹1,882.35. This is 1.02% less than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 2.28% from a day low at ₹1,857.70 to a day high of ₹1,900.00. |
90 days | ₹1,651.40 | ₹2,058.90 | |
52 weeks | ₹1,651.40 | ₹2,430.70 |
Historical Dalmia Bharat Limited prices
Date | Open | High | Low | Close | Volume |
Jun 14, 2024 | ₹1,888.95 | ₹1,900.00 | ₹1,857.70 | ₹1,882.35 | 324 821 |
Jun 13, 2024 | ₹1,910.00 | ₹1,910.00 | ₹1,878.55 | ₹1,901.80 | 345 034 |
Jun 12, 2024 | ₹1,895.00 | ₹1,912.55 | ₹1,870.00 | ₹1,900.10 | 792 486 |
Jun 11, 2024 | ₹1,890.05 | ₹1,900.80 | ₹1,871.00 | ₹1,887.95 | 448 522 |
Jun 10, 2024 | ₹1,825.00 | ₹1,878.95 | ₹1,809.95 | ₹1,875.50 | 645 461 |
Jun 07, 2024 | ₹1,766.10 | ₹1,829.35 | ₹1,757.30 | ₹1,809.95 | 577 092 |
Jun 06, 2024 | ₹1,747.00 | ₹1,779.80 | ₹1,741.60 | ₹1,766.10 | 468 003 |
Jun 05, 2024 | ₹1,714.85 | ₹1,745.25 | ₹1,693.15 | ₹1,735.15 | 545 659 |
Jun 04, 2024 | ₹1,845.00 | ₹1,845.00 | ₹1,651.40 | ₹1,695.25 | 1 010 569 |
Jun 03, 2024 | ₹1,824.95 | ₹1,882.00 | ₹1,800.00 | ₹1,858.00 | 846 714 |
May 31, 2024 | ₹1,766.05 | ₹1,784.95 | ₹1,750.00 | ₹1,775.70 | 268 825 |
May 30, 2024 | ₹1,775.45 | ₹1,779.90 | ₹1,743.05 | ₹1,767.35 | 361 187 |
May 29, 2024 | ₹1,800.00 | ₹1,810.95 | ₹1,772.05 | ₹1,775.45 | 342 023 |
May 28, 2024 | ₹1,803.00 | ₹1,811.90 | ₹1,786.35 | ₹1,801.55 | 379 064 |
May 27, 2024 | ₹1,799.00 | ₹1,811.95 | ₹1,789.60 | ₹1,807.65 | 305 435 |
May 24, 2024 | ₹1,820.00 | ₹1,822.45 | ₹1,788.00 | ₹1,792.45 | 392 027 |
May 23, 2024 | ₹1,846.00 | ₹1,846.00 | ₹1,801.50 | ₹1,812.30 | 221 418 |
May 22, 2024 | ₹1,847.80 | ₹1,856.30 | ₹1,825.65 | ₹1,846.85 | 130 796 |
May 21, 2024 | ₹1,828.00 | ₹1,860.15 | ₹1,820.00 | ₹1,847.80 | 956 636 |
May 20, 2024 | ₹1,814.50 | ₹1,814.50 | ₹1,814.50 | ₹1,814.50 | 0 |
May 17, 2024 | ₹1,794.00 | ₹1,820.00 | ₹1,785.00 | ₹1,814.50 | 224 477 |
May 16, 2024 | ₹1,780.00 | ₹1,797.10 | ₹1,761.50 | ₹1,789.45 | 313 064 |
May 15, 2024 | ₹1,757.75 | ₹1,765.00 | ₹1,733.15 | ₹1,760.95 | 320 144 |
May 14, 2024 | ₹1,743.15 | ₹1,761.95 | ₹1,730.40 | ₹1,757.75 | 107 616 |
May 13, 2024 | ₹1,720.00 | ₹1,747.00 | ₹1,698.90 | ₹1,742.70 | 166 202 |
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 DALBHARAT.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the DALBHARAT.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 DALBHARAT.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.