NYSE:GST
Delisted
Gastar Exploration Inc Fund Price (Quote)
$0.0561
+0 (+0%)
At Close: Sep 28, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0550 | $0.0950 | Friday, 28th Sep 2018 GST stock ended at $0.0561. During the day the stock fluctuated 0% from a day low at $0.0561 to a day high of $0.0561. |
90 days | $0.0550 | $0.610 | |
52 weeks | $0.0550 | $1.39 |
Date | Open | High | Low | Close | Volume |
Dec 12, 2017 | $1.01 | $1.08 | $1.01 | $1.02 | 1 200 819 |
Dec 11, 2017 | $0.97 | $1.05 | $0.97 | $1.01 | 932 238 |
Dec 08, 2017 | $1.01 | $1.06 | $0.97 | $0.97 | 2 550 206 |
Dec 07, 2017 | $0.98 | $1.05 | $0.97 | $0.99 | 1 015 155 |
Dec 06, 2017 | $1.06 | $1.06 | $0.97 | $0.99 | 1 287 782 |
Dec 05, 2017 | $1.07 | $1.13 | $1.06 | $1.07 | 1 385 850 |
Dec 04, 2017 | $1.04 | $1.12 | $1.02 | $1.07 | 1 490 395 |
Dec 01, 2017 | $1.02 | $1.12 | $0.96 | $1.04 | 3 863 387 |
Nov 30, 2017 | $0.85 | $1.06 | $0.83 | $1.05 | 5 400 799 |
Nov 29, 2017 | $0.83 | $0.85 | $0.81 | $0.83 | 446 543 |
Nov 28, 2017 | $0.84 | $0.86 | $0.80 | $0.83 | 808 996 |
Nov 27, 2017 | $0.88 | $0.89 | $0.84 | $0.84 | 618 948 |
Nov 24, 2017 | $0.85 | $0.89 | $0.85 | $0.89 | 444 321 |
Nov 22, 2017 | $0.85 | $0.87 | $0.82 | $0.84 | 769 305 |
Nov 21, 2017 | $0.83 | $0.85 | $0.80 | $0.82 | 514 043 |
Nov 20, 2017 | $0.86 | $0.87 | $0.80 | $0.82 | 762 326 |
Nov 17, 2017 | $0.80 | $0.90 | $0.80 | $0.85 | 989 237 |
Nov 16, 2017 | $0.783 | $0.84 | $0.783 | $0.82 | 376 555 |
Nov 15, 2017 | $0.780 | $0.82 | $0.730 | $0.770 | 628 854 |
Nov 14, 2017 | $0.81 | $0.82 | $0.770 | $0.80 | 693 600 |
Nov 13, 2017 | $0.87 | $0.89 | $0.760 | $0.81 | 878 642 |
Nov 10, 2017 | $0.87 | $0.91 | $0.86 | $0.88 | 377 354 |
Nov 09, 2017 | $0.80 | $0.93 | $0.80 | $0.87 | 843 915 |
Nov 08, 2017 | $0.87 | $0.88 | $0.83 | $0.85 | 693 607 |
Nov 07, 2017 | $0.91 | $0.94 | $0.88 | $0.88 | 1 415 504 |
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 GST stock historical prices to predict future price movements?
Trend Analysis: Examine the GST 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 GST 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.