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 |
Jan 19, 2018 | $1.26 | $1.30 | $1.25 | $1.27 | 585 737 |
Jan 18, 2018 | $1.24 | $1.31 | $1.22 | $1.30 | 1 374 426 |
Jan 17, 2018 | $1.21 | $1.25 | $1.18 | $1.24 | 677 816 |
Jan 16, 2018 | $1.34 | $1.36 | $1.17 | $1.19 | 1 556 833 |
Jan 12, 2018 | $1.32 | $1.36 | $1.28 | $1.33 | 839 471 |
Jan 11, 2018 | $1.28 | $1.35 | $1.26 | $1.31 | 1 478 712 |
Jan 10, 2018 | $1.30 | $1.34 | $1.28 | $1.29 | 935 111 |
Jan 09, 2018 | $1.38 | $1.38 | $1.22 | $1.30 | 1 866 289 |
Jan 08, 2018 | $1.36 | $1.39 | $1.31 | $1.37 | 1 359 181 |
Jan 05, 2018 | $1.29 | $1.36 | $1.21 | $1.36 | 1 661 011 |
Jan 04, 2018 | $1.29 | $1.32 | $1.18 | $1.29 | 2 436 621 |
Jan 03, 2018 | $1.14 | $1.28 | $1.12 | $1.26 | 2 896 495 |
Jan 02, 2018 | $1.08 | $1.13 | $1.07 | $1.11 | 1 431 849 |
Dec 29, 2017 | $1.08 | $1.14 | $1.03 | $1.05 | 2 473 718 |
Dec 28, 2017 | $1.01 | $1.12 | $1.00 | $1.06 | 2 569 890 |
Dec 27, 2017 | $0.98 | $1.02 | $0.98 | $1.02 | 1 124 230 |
Dec 26, 2017 | $1.00 | $1.02 | $0.98 | $0.99 | 961 107 |
Dec 22, 2017 | $0.98 | $1.02 | $0.95 | $0.99 | 828 263 |
Dec 21, 2017 | $0.99 | $1.04 | $0.97 | $1.00 | 1 165 475 |
Dec 20, 2017 | $0.98 | $1.00 | $0.96 | $0.98 | 889 467 |
Dec 19, 2017 | $1.05 | $1.05 | $0.97 | $1.00 | 1 064 360 |
Dec 18, 2017 | $0.99 | $1.01 | $0.93 | $0.97 | 1 066 388 |
Dec 15, 2017 | $0.96 | $1.07 | $0.91 | $0.91 | 1 942 313 |
Dec 14, 2017 | $1.01 | $1.04 | $0.97 | $0.97 | 749 018 |
Dec 13, 2017 | $1.03 | $1.05 | $0.98 | $1.01 | 809 949 |
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.