The Phoenix Mills Limited Stock Price (Quote)
₹3,144.25
+104.00 (+3.42%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹2,775.00 | ₹3,254.95 | Tuesday, 21st May 2024 PHOENIXLTD.NS stock ended at ₹3,144.25. This is 3.42% more than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 8.15% from a day low at ₹2,930.95 to a day high of ₹3,169.95. |
90 days | ₹2,430.80 | ₹3,265.00 | |
52 weeks | ₹1,390.10 | ₹3,265.00 |
Date | Open | High | Low | Close | Volume |
Mar 06, 2024 | ₹2,751.70 | ₹2,811.95 | ₹2,681.50 | ₹2,707.30 | 952 155 |
Mar 05, 2024 | ₹2,675.05 | ₹2,804.20 | ₹2,660.85 | ₹2,753.90 | 698 362 |
Mar 04, 2024 | ₹2,735.00 | ₹2,775.10 | ₹2,675.40 | ₹2,701.80 | 434 165 |
Mar 01, 2024 | ₹2,819.65 | ₹2,834.35 | ₹2,665.00 | ₹2,741.60 | 692 139 |
Feb 29, 2024 | ₹2,789.70 | ₹2,816.55 | ₹2,682.40 | ₹2,760.70 | 701 966 |
Feb 28, 2024 | ₹2,837.15 | ₹2,847.10 | ₹2,725.00 | ₹2,784.15 | 350 986 |
Feb 27, 2024 | ₹2,874.80 | ₹2,884.00 | ₹2,804.95 | ₹2,828.30 | 390 492 |
Feb 26, 2024 | ₹2,905.05 | ₹2,907.95 | ₹2,726.10 | ₹2,864.50 | 1 546 546 |
Feb 23, 2024 | ₹2,833.90 | ₹2,930.00 | ₹2,833.90 | ₹2,910.40 | 806 499 |
Feb 22, 2024 | ₹2,892.55 | ₹2,892.65 | ₹2,773.25 | ₹2,806.20 | 472 228 |
Feb 21, 2024 | ₹2,826.65 | ₹2,942.00 | ₹2,810.05 | ₹2,896.15 | 639 685 |
Feb 20, 2024 | ₹2,790.00 | ₹2,890.00 | ₹2,781.80 | ₹2,826.65 | 542 061 |
Feb 19, 2024 | ₹2,714.20 | ₹2,814.95 | ₹2,667.05 | ₹2,785.70 | 367 025 |
Feb 16, 2024 | ₹2,729.95 | ₹2,750.00 | ₹2,681.35 | ₹2,733.05 | 555 059 |
Feb 15, 2024 | ₹2,622.00 | ₹2,767.00 | ₹2,622.00 | ₹2,744.15 | 915 199 |
Feb 14, 2024 | ₹2,544.95 | ₹2,641.25 | ₹2,500.00 | ₹2,579.05 | 301 592 |
Feb 13, 2024 | ₹2,709.80 | ₹2,740.00 | ₹2,443.00 | ₹2,564.70 | 1 057 421 |
Feb 12, 2024 | ₹2,779.10 | ₹2,790.00 | ₹2,625.05 | ₹2,654.85 | 188 053 |
Feb 09, 2024 | ₹2,814.45 | ₹2,834.75 | ₹2,766.10 | ₹2,812.15 | 308 981 |
Feb 08, 2024 | ₹2,760.30 | ₹2,836.25 | ₹2,728.20 | ₹2,806.70 | 590 140 |
Feb 07, 2024 | ₹2,700.45 | ₹2,798.00 | ₹2,665.30 | ₹2,761.50 | 733 450 |
Feb 06, 2024 | ₹2,660.00 | ₹2,730.00 | ₹2,545.00 | ₹2,652.30 | 963 934 |
Feb 05, 2024 | ₹2,478.90 | ₹2,679.65 | ₹2,478.90 | ₹2,655.25 | 1 055 307 |
Feb 02, 2024 | ₹2,369.90 | ₹2,510.00 | ₹2,355.65 | ₹2,478.90 | 968 009 |
Feb 01, 2024 | ₹2,423.10 | ₹2,449.40 | ₹2,316.00 | ₹2,350.50 | 326 112 |
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 PHOENIXLTD.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the PHOENIXLTD.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 PHOENIXLTD.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.