NSE:NDL
Nandan Denim Limited Stock Price (Quote)
₹39.25
-0.350 (-0.88%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹36.40 | ₹48.60 | Friday, 17th May 2024 NDL.NS stock ended at ₹39.25. This is 0.88% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 4.44% from a day low at ₹38.30 to a day high of ₹40.00. |
90 days | ₹30.80 | ₹48.60 | |
52 weeks | ₹18.50 | ₹48.60 |
Date | Open | High | Low | Close | Volume |
Mar 04, 2024 | ₹37.45 | ₹37.80 | ₹35.70 | ₹36.75 | 227 392 |
Mar 01, 2024 | ₹37.20 | ₹38.75 | ₹36.55 | ₹37.25 | 248 491 |
Feb 29, 2024 | ₹35.35 | ₹37.60 | ₹34.85 | ₹36.95 | 393 063 |
Feb 28, 2024 | ₹38.70 | ₹38.70 | ₹36.40 | ₹36.40 | 321 990 |
Feb 27, 2024 | ₹38.90 | ₹40.00 | ₹38.00 | ₹38.30 | 386 609 |
Feb 26, 2024 | ₹38.05 | ₹39.50 | ₹37.80 | ₹39.45 | 728 791 |
Feb 23, 2024 | ₹39.30 | ₹39.35 | ₹37.50 | ₹37.65 | 267 020 |
Feb 22, 2024 | ₹40.00 | ₹40.00 | ₹37.40 | ₹38.45 | 958 587 |
Feb 21, 2024 | ₹38.95 | ₹39.40 | ₹38.10 | ₹39.35 | 1 420 024 |
Feb 20, 2024 | ₹37.35 | ₹37.55 | ₹36.10 | ₹37.55 | 702 783 |
Feb 19, 2024 | ₹35.00 | ₹35.80 | ₹33.50 | ₹35.80 | 527 266 |
Feb 16, 2024 | ₹33.50 | ₹34.35 | ₹33.05 | ₹34.10 | 249 837 |
Feb 15, 2024 | ₹32.95 | ₹33.10 | ₹31.60 | ₹32.85 | 237 967 |
Feb 14, 2024 | ₹30.65 | ₹33.25 | ₹30.65 | ₹32.30 | 404 307 |
Feb 13, 2024 | ₹32.75 | ₹34.70 | ₹32.15 | ₹32.20 | 603 041 |
Feb 12, 2024 | ₹34.05 | ₹36.90 | ₹33.45 | ₹33.85 | 1 144 667 |
Feb 09, 2024 | ₹37.05 | ₹38.20 | ₹35.20 | ₹35.20 | 381 381 |
Feb 08, 2024 | ₹38.80 | ₹38.80 | ₹36.50 | ₹37.05 | 842 804 |
Feb 07, 2024 | ₹37.35 | ₹37.35 | ₹36.40 | ₹37.35 | 945 362 |
Feb 06, 2024 | ₹34.10 | ₹35.60 | ₹34.10 | ₹35.60 | 894 081 |
Feb 05, 2024 | ₹33.60 | ₹34.05 | ₹31.25 | ₹33.95 | 1 246 633 |
Feb 02, 2024 | ₹31.70 | ₹32.45 | ₹31.10 | ₹32.45 | 684 071 |
Feb 01, 2024 | ₹30.95 | ₹31.45 | ₹30.25 | ₹30.95 | 662 914 |
Jan 31, 2024 | ₹28.50 | ₹30.25 | ₹28.40 | ₹30.25 | 772 966 |
Jan 30, 2024 | ₹29.30 | ₹30.15 | ₹28.50 | ₹28.85 | 275 684 |
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 NDL.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the NDL.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 NDL.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.