NYSE:PGH
Delisted
Pengrowth Energy Corporation Fund Price (Quote)
$0.734
+0 (+0%)
At Close: Jun 08, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.728 | $0.88 | Friday, 8th Jun 2018 PGH stock ended at $0.734. During the day the stock fluctuated 0% from a day low at $0.734 to a day high of $0.734. |
90 days | $0.601 | $0.96 | |
52 weeks | $0.535 | $1.23 |
Date | Open | High | Low | Close | Volume |
Jan 16, 2018 | $0.89 | $0.89 | $0.80 | $0.83 | 956 038 |
Jan 12, 2018 | $0.92 | $0.92 | $0.88 | $0.90 | 408 339 |
Jan 11, 2018 | $0.89 | $0.92 | $0.88 | $0.91 | 420 249 |
Jan 10, 2018 | $0.90 | $0.92 | $0.88 | $0.88 | 487 437 |
Jan 09, 2018 | $0.90 | $0.92 | $0.87 | $0.90 | 599 639 |
Jan 08, 2018 | $0.88 | $0.90 | $0.87 | $0.89 | 466 513 |
Jan 05, 2018 | $0.90 | $0.91 | $0.87 | $0.90 | 575 697 |
Jan 04, 2018 | $0.91 | $0.93 | $0.90 | $0.90 | 535 934 |
Jan 03, 2018 | $0.84 | $0.89 | $0.82 | $0.88 | 866 920 |
Jan 02, 2018 | $0.794 | $0.83 | $0.794 | $0.82 | 412 232 |
Dec 29, 2017 | $0.790 | $0.81 | $0.790 | $0.795 | 948 856 |
Dec 28, 2017 | $0.790 | $0.790 | $0.790 | $0.790 | 0 |
Dec 27, 2017 | $0.790 | $0.80 | $0.779 | $0.788 | 686 358 |
Dec 26, 2017 | $0.740 | $0.788 | $0.740 | $0.770 | 751 062 |
Dec 22, 2017 | $0.782 | $0.790 | $0.782 | $0.790 | 115 460 |
Dec 21, 2017 | $0.780 | $0.780 | $0.780 | $0.780 | 0 |
Dec 20, 2017 | $0.732 | $0.81 | $0.717 | $0.721 | 991 353 |
Dec 19, 2017 | $0.800 | $0.81 | $0.770 | $0.793 | 641 082 |
Dec 18, 2017 | $0.759 | $0.780 | $0.750 | $0.780 | 839 689 |
Dec 15, 2017 | $0.760 | $0.780 | $0.750 | $0.760 | 871 950 |
Dec 14, 2017 | $0.761 | $0.780 | $0.737 | $0.749 | 808 263 |
Dec 13, 2017 | $0.764 | $0.781 | $0.763 | $0.772 | 310 907 |
Dec 12, 2017 | $0.786 | $0.788 | $0.761 | $0.774 | 495 485 |
Dec 11, 2017 | $0.780 | $0.788 | $0.766 | $0.773 | 515 958 |
Dec 08, 2017 | $0.797 | $0.80 | $0.780 | $0.793 | 285 120 |
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 PGH stock historical prices to predict future price movements?
Trend Analysis: Examine the PGH 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 PGH 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.