NASDAQ:EGLE
Eagle Bulk Shipping Stock Price (Quote)
$62.60
+0 (+0%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $62.60 | $62.60 | Friday, 31st May 2024 EGLE stock ended at $62.60. During the day the stock fluctuated 0% from a day low at $62.60 to a day high of $62.60. |
90 days | $59.79 | $65.09 | |
52 weeks | $39.16 | $65.09 |
Historical Eagle Bulk Shipping Inc. prices
Date | Open | High | Low | Close | Volume |
May 12, 2017 | $4.85 | $4.90 | $4.79 | $4.88 | 64 941 |
May 11, 2017 | $4.85 | $5.03 | $4.79 | $4.83 | 116 543 |
May 10, 2017 | $5.11 | $5.11 | $4.81 | $4.85 | 175 784 |
May 09, 2017 | $4.72 | $5.00 | $4.72 | $4.98 | 130 318 |
May 08, 2017 | $4.60 | $4.80 | $4.60 | $4.71 | 110 867 |
May 05, 2017 | $4.41 | $4.66 | $4.32 | $4.56 | 250 166 |
May 04, 2017 | $4.76 | $4.80 | $4.41 | $4.44 | 407 674 |
May 03, 2017 | $4.87 | $4.91 | $4.75 | $4.80 | 273 531 |
May 02, 2017 | $4.89 | $4.92 | $4.82 | $4.90 | 196 731 |
May 01, 2017 | $4.92 | $4.96 | $4.80 | $4.90 | 66 066 |
Apr 28, 2017 | $4.94 | $4.95 | $4.78 | $4.93 | 179 738 |
Apr 27, 2017 | $4.88 | $5.08 | $4.72 | $4.94 | 244 272 |
Apr 26, 2017 | $4.95 | $5.03 | $4.86 | $4.92 | 172 075 |
Apr 25, 2017 | $4.94 | $5.00 | $4.86 | $4.99 | 165 583 |
Apr 24, 2017 | $5.13 | $5.14 | $4.85 | $4.94 | 175 560 |
Apr 21, 2017 | $4.83 | $5.15 | $4.77 | $5.09 | 263 105 |
Apr 20, 2017 | $4.81 | $4.83 | $4.67 | $4.83 | 282 558 |
Apr 19, 2017 | $4.95 | $5.05 | $4.83 | $4.84 | 192 225 |
Apr 18, 2017 | $5.05 | $5.13 | $4.86 | $4.91 | 271 464 |
Apr 17, 2017 | $5.18 | $5.27 | $5.00 | $5.18 | 212 447 |
Apr 13, 2017 | $5.15 | $5.35 | $5.15 | $5.22 | 138 145 |
Apr 12, 2017 | $5.47 | $5.47 | $5.11 | $5.12 | 281 179 |
Apr 11, 2017 | $5.50 | $5.58 | $5.31 | $5.47 | 163 291 |
Apr 10, 2017 | $5.29 | $5.55 | $5.29 | $5.50 | 205 422 |
Apr 07, 2017 | $5.40 | $5.53 | $5.24 | $5.29 | 342 847 |
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 EGLE stock historical prices to predict future price movements?
Trend Analysis: Examine the EGLE 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 EGLE 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.