Bhandari Hosiery Exports Ltd(NDA) Stock Price (Quote)
₹7.90
+0.0500 (+0.637%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹7.60 | ₹8.65 | Friday, 17th May 2024 BHANDARI.NS stock ended at ₹7.90. This is 0.637% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.21% from a day low at ₹7.80 to a day high of ₹8.05. |
90 days | ₹7.15 | ₹11.85 | |
52 weeks | ₹4.00 | ₹12.45 |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | ₹7.80 | ₹8.05 | ₹7.80 | ₹7.90 | 689 531 |
May 16, 2024 | ₹7.95 | ₹8.10 | ₹7.80 | ₹7.85 | 449 325 |
May 15, 2024 | ₹7.90 | ₹7.95 | ₹7.85 | ₹7.90 | 533 806 |
May 14, 2024 | ₹7.90 | ₹8.05 | ₹7.85 | ₹7.90 | 474 093 |
May 13, 2024 | ₹8.10 | ₹8.10 | ₹7.65 | ₹7.85 | 630 396 |
May 10, 2024 | ₹8.25 | ₹8.25 | ₹7.80 | ₹7.95 | 472 780 |
May 09, 2024 | ₹8.10 | ₹8.30 | ₹7.90 | ₹8.05 | 590 712 |
May 08, 2024 | ₹8.00 | ₹8.65 | ₹7.95 | ₹8.15 | 2 258 308 |
May 07, 2024 | ₹7.85 | ₹8.00 | ₹7.70 | ₹7.90 | 884 675 |
May 06, 2024 | ₹7.95 | ₹7.95 | ₹7.65 | ₹7.70 | 441 237 |
May 03, 2024 | ₹7.90 | ₹7.90 | ₹7.70 | ₹7.80 | 704 668 |
May 02, 2024 | ₹7.90 | ₹8.00 | ₹7.70 | ₹7.75 | 722 674 |
May 01, 2024 | ₹7.85 | ₹7.85 | ₹7.85 | ₹7.85 | 0 |
Apr 30, 2024 | ₹8.05 | ₹8.10 | ₹7.80 | ₹7.85 | 615 934 |
Apr 29, 2024 | ₹8.05 | ₹8.15 | ₹7.95 | ₹8.00 | 500 826 |
Apr 26, 2024 | ₹8.10 | ₹8.35 | ₹7.95 | ₹8.05 | 1 046 867 |
Apr 25, 2024 | ₹8.10 | ₹8.15 | ₹7.90 | ₹8.00 | 585 025 |
Apr 24, 2024 | ₹8.15 | ₹8.25 | ₹7.95 | ₹8.00 | 741 033 |
Apr 23, 2024 | ₹8.10 | ₹8.15 | ₹8.00 | ₹8.05 | 734 076 |
Apr 22, 2024 | ₹8.00 | ₹8.25 | ₹7.60 | ₹7.90 | 620 804 |
Apr 19, 2024 | ₹7.95 | ₹8.05 | ₹7.80 | ₹7.95 | 696 379 |
Apr 18, 2024 | ₹8.40 | ₹8.40 | ₹7.95 | ₹8.05 | 804 729 |
Apr 16, 2024 | ₹7.85 | ₹8.45 | ₹7.85 | ₹8.05 | 563 354 |
Apr 15, 2024 | ₹8.15 | ₹8.20 | ₹7.55 | ₹7.90 | 1 027 812 |
Apr 12, 2024 | ₹8.75 | ₹8.75 | ₹8.25 | ₹8.35 | 520 689 |
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 BHANDARI.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the BHANDARI.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 BHANDARI.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.