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 |
Jun 07, 2016 | $2.02 | $2.02 | $1.80 | $1.90 | 1 120 059 |
Jun 06, 2016 | $2.17 | $2.18 | $1.81 | $1.88 | 3 259 135 |
Jun 03, 2016 | $2.20 | $2.60 | $2.11 | $2.15 | 20 732 750 |
Jun 02, 2016 | $1.35 | $2.10 | $1.35 | $1.78 | 17 437 407 |
Jun 01, 2016 | $1.24 | $1.35 | $1.21 | $1.32 | 828 667 |
May 31, 2016 | $1.32 | $1.36 | $1.21 | $1.24 | 837 597 |
May 27, 2016 | $1.33 | $1.46 | $1.27 | $1.32 | 3 861 467 |
May 26, 2016 | $1.14 | $1.38 | $1.12 | $1.36 | 6 348 564 |
May 25, 2016 | $1.17 | $1.17 | $1.09 | $1.09 | 665 370 |
May 24, 2016 | $1.13 | $1.19 | $1.11 | $1.13 | 1 057 883 |
May 23, 2016 | $1.11 | $1.19 | $1.03 | $1.11 | 781 722 |
May 20, 2016 | $1.17 | $1.24 | $1.08 | $1.11 | 1 146 730 |
May 19, 2016 | $1.20 | $1.35 | $1.11 | $1.13 | 2 726 749 |
May 18, 2016 | $1.11 | $1.25 | $1.08 | $1.20 | 1 406 620 |
May 17, 2016 | $1.25 | $1.28 | $1.06 | $1.10 | 2 524 843 |
May 16, 2016 | $0.93 | $1.29 | $0.92 | $1.29 | 4 134 956 |
May 13, 2016 | $1.00 | $1.00 | $0.92 | $0.92 | 524 302 |
May 12, 2016 | $1.10 | $1.10 | $0.95 | $0.96 | 664 594 |
May 11, 2016 | $1.06 | $1.25 | $0.96 | $1.00 | 3 152 485 |
May 10, 2016 | $0.84 | $1.09 | $0.83 | $1.05 | 1 431 373 |
May 09, 2016 | $0.91 | $0.94 | $0.80 | $0.90 | 1 388 363 |
May 06, 2016 | $0.88 | $1.05 | $0.88 | $0.94 | 1 597 158 |
May 05, 2016 | $1.04 | $1.12 | $0.98 | $1.03 | 2 232 060 |
May 04, 2016 | $1.19 | $1.55 | $1.09 | $1.13 | 20 882 835 |
May 03, 2016 | $0.80 | $1.22 | $0.720 | $1.02 | 8 712 250 |
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.