NASDAQ:EBIO
Delisted
Eleven Biotherapeutics Fund Price (Quote)
$3.29
+0 (+0%)
At Close: May 31, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.52 | $3.50 | Thursday, 31st May 2018 EBIO stock ended at $3.29. During the day the stock fluctuated 0% from a day low at $3.29 to a day high of $3.29. |
90 days | $0.90 | $3.50 | |
52 weeks | $0.620 | $3.50 |
Date | Open | High | Low | Close | Volume |
Jul 13, 2016 | $2.52 | $2.54 | $2.34 | $2.36 | 969 300 |
Jul 12, 2016 | $2.52 | $2.55 | $2.40 | $2.52 | 933 000 |
Jul 11, 2016 | $2.68 | $2.68 | $2.37 | $2.52 | 2 683 600 |
Jul 08, 2016 | $2.75 | $2.97 | $2.43 | $2.48 | 17 321 900 |
Jul 07, 2016 | $2.01 | $2.05 | $1.86 | $1.96 | 1 475 900 |
Jul 06, 2016 | $2.20 | $2.26 | $1.98 | $2.03 | 1 340 400 |
Jul 05, 2016 | $1.88 | $2.30 | $1.83 | $2.20 | 4 525 900 |
Jul 01, 2016 | $1.65 | $1.95 | $1.58 | $1.88 | 1 745 000 |
Jun 30, 2016 | $1.85 | $1.87 | $1.65 | $1.67 | 674 100 |
Jun 29, 2016 | $1.94 | $1.94 | $1.72 | $1.87 | 645 800 |
Jun 28, 2016 | $1.93 | $1.97 | $1.90 | $1.94 | 476 700 |
Jun 27, 2016 | $2.07 | $2.14 | $1.82 | $1.91 | 1 348 800 |
Jun 24, 2016 | $2.18 | $2.22 | $2.06 | $2.14 | 785 900 |
Jun 23, 2016 | $2.39 | $2.39 | $2.23 | $2.29 | 781 200 |
Jun 22, 2016 | $2.42 | $2.44 | $2.26 | $2.33 | 1 062 200 |
Jun 21, 2016 | $2.18 | $2.39 | $2.16 | $2.33 | 1 235 800 |
Jun 20, 2016 | $2.35 | $2.43 | $2.20 | $2.22 | 933 500 |
Jun 17, 2016 | $2.60 | $2.62 | $2.27 | $2.33 | 2 294 500 |
Jun 16, 2016 | $2.21 | $2.68 | $2.12 | $2.57 | 6 171 356 |
Jun 15, 2016 | $2.36 | $2.40 | $2.15 | $2.23 | 1 162 395 |
Jun 14, 2016 | $2.50 | $2.50 | $2.10 | $2.27 | 2 640 514 |
Jun 13, 2016 | $3.68 | $3.80 | $2.29 | $2.39 | 18 992 671 |
Jun 10, 2016 | $1.66 | $1.98 | $1.62 | $1.87 | 2 538 378 |
Jun 09, 2016 | $1.80 | $1.80 | $1.65 | $1.68 | 1 001 211 |
Jun 08, 2016 | $1.89 | $1.91 | $1.82 | $1.83 | 668 530 |
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 EBIO stock historical prices to predict future price movements?
Trend Analysis: Examine the EBIO 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 EBIO 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.