Power Finance Corporation Limited Stock Price (Quote)
₹491.65
+24.40 (+5.22%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹398.25 | ₹499.40 | Friday, 24th May 2024 PFC.NS stock ended at ₹491.65. This is 5.22% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 7.31% from a day low at ₹465.40 to a day high of ₹499.40. |
90 days | ₹351.70 | ₹499.40 | |
52 weeks | ₹168.75 | ₹499.40 |
Date | Open | High | Low | Close | Volume |
Nov 23, 2023 | ₹321.50 | ₹323.00 | ₹317.50 | ₹320.75 | 7 050 700 |
Nov 22, 2023 | ₹320.00 | ₹323.60 | ₹317.20 | ₹319.95 | 9 908 872 |
Nov 21, 2023 | ₹326.60 | ₹328.65 | ₹315.60 | ₹319.55 | 22 453 701 |
Nov 20, 2023 | ₹316.95 | ₹325.50 | ₹315.45 | ₹324.25 | 19 353 142 |
Nov 17, 2023 | ₹311.25 | ₹317.95 | ₹310.05 | ₹316.25 | 15 703 658 |
Nov 16, 2023 | ₹310.00 | ₹315.75 | ₹306.00 | ₹310.30 | 16 590 039 |
Nov 15, 2023 | ₹309.00 | ₹317.95 | ₹302.00 | ₹310.40 | 29 531 983 |
Nov 13, 2023 | ₹297.00 | ₹319.80 | ₹293.75 | ₹307.50 | 56 937 585 |
Nov 10, 2023 | ₹276.35 | ₹288.90 | ₹276.05 | ₹287.70 | 26 449 046 |
Nov 09, 2023 | ₹267.00 | ₹280.50 | ₹265.45 | ₹277.30 | 46 642 384 |
Nov 08, 2023 | ₹264.95 | ₹265.90 | ₹260.00 | ₹263.55 | 7 004 165 |
Nov 07, 2023 | ₹261.70 | ₹266.35 | ₹259.70 | ₹263.05 | 12 711 269 |
Nov 06, 2023 | ₹263.95 | ₹264.65 | ₹257.80 | ₹260.75 | 15 063 005 |
Nov 03, 2023 | ₹259.85 | ₹262.85 | ₹256.75 | ₹261.70 | 13 065 706 |
Nov 02, 2023 | ₹245.15 | ₹259.80 | ₹245.00 | ₹257.65 | 31 784 956 |
Nov 01, 2023 | ₹246.95 | ₹249.20 | ₹237.85 | ₹242.20 | 11 483 822 |
Oct 31, 2023 | ₹240.90 | ₹247.70 | ₹239.75 | ₹246.60 | 11 242 739 |
Oct 30, 2023 | ₹238.15 | ₹239.60 | ₹233.35 | ₹238.95 | 8 588 551 |
Oct 27, 2023 | ₹234.50 | ₹241.00 | ₹232.20 | ₹237.55 | 8 633 303 |
Oct 26, 2023 | ₹235.00 | ₹236.00 | ₹225.50 | ₹230.35 | 19 102 042 |
Oct 25, 2023 | ₹245.90 | ₹247.60 | ₹234.45 | ₹237.20 | 12 352 177 |
Oct 23, 2023 | ₹247.50 | ₹250.95 | ₹240.60 | ₹244.15 | 16 259 554 |
Oct 20, 2023 | ₹248.80 | ₹250.35 | ₹244.30 | ₹247.50 | 9 768 716 |
Oct 19, 2023 | ₹244.50 | ₹250.75 | ₹242.20 | ₹249.05 | 10 350 026 |
Oct 18, 2023 | ₹251.10 | ₹253.55 | ₹244.10 | ₹245.85 | 8 846 078 |
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.