NASDAQ:GNRT
Delisted
Gener8 Maritime Inc Fund Price (Quote)
$6.61
+0 (+0%)
At Close: Aug 02, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.61 | $6.61 | Thursday, 2nd Aug 2018 GNRT stock ended at $6.61. During the day the stock fluctuated 0% from a day low at $6.61 to a day high of $6.61. |
90 days | $5.00 | $6.91 | |
52 weeks | $4.17 | $6.94 |
Historical Gener8 Maritime Inc prices
Date | Open | High | Low | Close | Volume |
Jul 05, 2016 | $6.16 | $6.16 | $5.19 | $5.27 | 1 170 800 |
Jul 01, 2016 | $6.33 | $6.61 | $6.30 | $6.30 | 350 700 |
Jun 30, 2016 | $6.25 | $6.43 | $6.16 | $6.40 | 451 700 |
Jun 29, 2016 | $6.05 | $6.31 | $6.00 | $6.26 | 327 000 |
Jun 28, 2016 | $5.98 | $6.07 | $5.89 | $6.01 | 405 000 |
Jun 27, 2016 | $6.32 | $6.32 | $5.77 | $5.84 | 684 600 |
Jun 24, 2016 | $6.49 | $6.61 | $6.26 | $6.36 | 2 691 800 |
Jun 23, 2016 | $6.75 | $6.94 | $6.75 | $6.89 | 299 800 |
Jun 22, 2016 | $6.56 | $6.71 | $6.49 | $6.64 | 468 100 |
Jun 21, 2016 | $6.67 | $6.67 | $6.41 | $6.54 | 337 600 |
Jun 20, 2016 | $6.55 | $6.81 | $6.45 | $6.70 | 479 000 |
Jun 17, 2016 | $6.29 | $6.60 | $6.24 | $6.45 | 445 500 |
Jun 16, 2016 | $6.27 | $6.29 | $5.95 | $6.24 | 537 194 |
Jun 15, 2016 | $6.67 | $6.76 | $6.28 | $6.34 | 526 870 |
Jun 14, 2016 | $6.98 | $7.09 | $6.50 | $6.67 | 547 503 |
Jun 13, 2016 | $6.97 | $7.32 | $6.90 | $7.05 | 336 060 |
Jun 10, 2016 | $7.48 | $7.56 | $7.02 | $7.05 | 329 967 |
Jun 09, 2016 | $7.70 | $7.72 | $7.48 | $7.62 | 384 405 |
Jun 08, 2016 | $7.51 | $7.83 | $7.42 | $7.73 | 457 214 |
Jun 07, 2016 | $7.51 | $7.64 | $7.34 | $7.41 | 378 898 |
Jun 06, 2016 | $7.40 | $7.52 | $7.35 | $7.48 | 576 918 |
Jun 03, 2016 | $7.01 | $7.52 | $7.01 | $7.33 | 695 682 |
Jun 02, 2016 | $6.70 | $7.00 | $6.57 | $6.99 | 645 533 |
Jun 01, 2016 | $7.25 | $7.25 | $6.66 | $6.76 | 896 817 |
May 31, 2016 | $6.95 | $7.28 | $6.90 | $7.23 | 1 319 198 |
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 GNRT stock historical prices to predict future price movements?
Trend Analysis: Examine the GNRT 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 GNRT 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.