Bharat Dynamics Limited Stock Price (Quote)
₹2,069.60
+70.35 (+3.52%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹1,752.10 | ₹2,097.95 | Thursday, 16th May 2024 BDL.NS stock ended at ₹2,069.60. This is 3.52% more than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 4.75% from a day low at ₹1,987.55 to a day high of ₹2,082.00. |
90 days | ₹1,552.10 | ₹2,097.95 | |
52 weeks | ₹900.00 | ₹2,097.95 |
Date | Open | High | Low | Close | Volume |
May 16, 2024 | ₹2,011.00 | ₹2,082.00 | ₹1,987.55 | ₹2,069.60 | 1 753 460 |
May 15, 2024 | ₹1,956.00 | ₹2,005.00 | ₹1,931.00 | ₹1,999.25 | 1 103 695 |
May 14, 2024 | ₹1,841.00 | ₹1,973.70 | ₹1,840.00 | ₹1,955.80 | 1 466 324 |
May 13, 2024 | ₹1,869.00 | ₹1,879.00 | ₹1,805.55 | ₹1,830.70 | 446 558 |
May 10, 2024 | ₹1,881.00 | ₹1,930.30 | ₹1,830.05 | ₹1,861.55 | 383 171 |
May 09, 2024 | ₹1,896.50 | ₹1,956.80 | ₹1,860.00 | ₹1,868.20 | 1 050 767 |
May 08, 2024 | ₹1,850.00 | ₹1,913.00 | ₹1,836.15 | ₹1,887.95 | 699 269 |
May 07, 2024 | ₹1,907.00 | ₹1,935.00 | ₹1,827.05 | ₹1,846.15 | 798 149 |
May 06, 2024 | ₹1,969.95 | ₹1,972.00 | ₹1,881.55 | ₹1,905.60 | 681 624 |
May 03, 2024 | ₹1,972.05 | ₹1,989.00 | ₹1,942.00 | ₹1,959.60 | 577 249 |
May 02, 2024 | ₹1,987.00 | ₹1,997.30 | ₹1,964.00 | ₹1,967.25 | 472 181 |
May 01, 2024 | ₹1,977.55 | ₹1,977.55 | ₹1,977.55 | ₹1,977.55 | 0 |
Apr 30, 2024 | ₹1,977.00 | ₹2,022.00 | ₹1,944.00 | ₹1,977.55 | 897 484 |
Apr 29, 2024 | ₹2,030.00 | ₹2,042.95 | ₹1,964.00 | ₹1,973.10 | 689 336 |
Apr 26, 2024 | ₹2,072.00 | ₹2,093.00 | ₹2,008.85 | ₹2,018.00 | 898 652 |
Apr 25, 2024 | ₹2,053.90 | ₹2,097.95 | ₹2,028.95 | ₹2,060.15 | 1 860 741 |
Apr 24, 2024 | ₹1,930.00 | ₹2,083.70 | ₹1,916.35 | ₹2,046.45 | 4 888 553 |
Apr 23, 2024 | ₹1,853.90 | ₹1,941.30 | ₹1,837.80 | ₹1,923.10 | 2 505 613 |
Apr 22, 2024 | ₹1,850.00 | ₹1,880.45 | ₹1,837.00 | ₹1,844.20 | 672 164 |
Apr 19, 2024 | ₹1,779.00 | ₹1,851.60 | ₹1,768.65 | ₹1,833.25 | 1 201 609 |
Apr 18, 2024 | ₹1,860.05 | ₹1,888.00 | ₹1,793.30 | ₹1,810.10 | 1 138 329 |
Apr 16, 2024 | ₹1,758.00 | ₹1,860.00 | ₹1,752.10 | ₹1,846.90 | 3 871 456 |
Apr 15, 2024 | ₹1,750.00 | ₹1,809.00 | ₹1,685.00 | ₹1,764.40 | 1 338 423 |
Apr 12, 2024 | ₹1,760.00 | ₹1,789.80 | ₹1,753.00 | ₹1,760.70 | 687 904 |
Apr 11, 2024 | ₹1,735.20 | ₹1,735.20 | ₹1,735.20 | ₹1,735.20 | 0 |
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 BDL.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the BDL.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 BDL.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.