Power Finance Corporation Limited Stock Price (Quote)
₹468.10
+13.30 (+2.92%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹385.10 | ₹485.50 | Friday, 17th May 2024 PFC.NS stock ended at ₹468.10. This is 2.92% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.37% from a day low at ₹454.00 to a day high of ₹469.30. |
90 days | ₹351.70 | ₹485.50 | |
52 weeks | ₹163.30 | ₹485.50 |
Date | Open | High | Low | Close | Volume |
Mar 04, 2024 | ₹416.95 | ₹422.60 | ₹410.55 | ₹421.55 | 10 216 254 |
Mar 01, 2024 | ₹401.50 | ₹415.90 | ₹401.50 | ₹413.25 | 10 003 610 |
Feb 29, 2024 | ₹389.00 | ₹403.45 | ₹388.35 | ₹400.70 | 18 630 124 |
Feb 28, 2024 | ₹401.35 | ₹401.50 | ₹387.40 | ₹389.50 | 11 517 228 |
Feb 27, 2024 | ₹407.30 | ₹410.95 | ₹394.15 | ₹401.50 | 16 055 632 |
Feb 26, 2024 | ₹411.85 | ₹416.50 | ₹405.65 | ₹411.45 | 14 667 556 |
Feb 23, 2024 | ₹417.50 | ₹419.50 | ₹411.25 | ₹412.90 | 6 081 717 |
Feb 22, 2024 | ₹412.00 | ₹417.20 | ₹399.65 | ₹415.60 | 12 730 605 |
Feb 21, 2024 | ₹426.00 | ₹430.00 | ₹411.00 | ₹412.40 | 7 814 011 |
Feb 20, 2024 | ₹426.50 | ₹430.80 | ₹422.10 | ₹426.10 | 6 732 521 |
Feb 19, 2024 | ₹433.75 | ₹442.95 | ₹430.00 | ₹431.15 | 5 878 045 |
Feb 16, 2024 | ₹437.80 | ₹437.80 | ₹427.10 | ₹433.70 | 8 541 307 |
Feb 15, 2024 | ₹437.05 | ₹438.40 | ₹430.05 | ₹435.45 | 6 466 982 |
Feb 14, 2024 | ₹416.00 | ₹437.95 | ₹411.05 | ₹434.60 | 11 113 154 |
Feb 13, 2024 | ₹419.90 | ₹426.70 | ₹414.60 | ₹420.50 | 14 070 545 |
Feb 12, 2024 | ₹429.00 | ₹435.25 | ₹412.95 | ₹424.15 | 30 343 314 |
Feb 09, 2024 | ₹463.00 | ₹463.00 | ₹406.75 | ₹428.85 | 56 576 006 |
Feb 08, 2024 | ₹470.95 | ₹477.80 | ₹464.15 | ₹468.55 | 14 778 428 |
Feb 07, 2024 | ₹451.00 | ₹469.90 | ₹451.00 | ₹469.00 | 11 971 235 |
Feb 06, 2024 | ₹461.30 | ₹461.30 | ₹445.10 | ₹454.00 | 9 402 783 |
Feb 05, 2024 | ₹454.80 | ₹464.50 | ₹447.80 | ₹458.15 | 15 930 110 |
Feb 02, 2024 | ₹448.10 | ₹461.50 | ₹448.10 | ₹450.80 | 13 305 813 |
Feb 01, 2024 | ₹447.00 | ₹449.50 | ₹439.45 | ₹445.75 | 12 777 679 |
Jan 31, 2024 | ₹442.30 | ₹445.30 | ₹437.10 | ₹443.25 | 12 608 548 |
Jan 30, 2024 | ₹450.00 | ₹453.70 | ₹440.75 | ₹444.90 | 18 738 845 |
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 PFC.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the PFC.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 PFC.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.