NASDAQ:INNL
Delisted
Innocoll AG Fund Price (Quote)
$2.35
+0 (+0%)
At Close: Aug 14, 2017
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.22 | $2.35 | Monday, 14th Aug 2017 INNL stock ended at $2.35. During the day the stock fluctuated 5.86% from a day low at $2.22 to a day high of $2.35. |
90 days | $2.07 | $2.36 | |
52 weeks | $0.530 | $6.51 |
Date | Open | High | Low | Close | Volume |
Mar 22, 2017 | $1.07 | $1.40 | $1.07 | $1.19 | 4 277 620 |
Mar 21, 2017 | $1.15 | $1.15 | $0.99 | $1.05 | 774 316 |
Mar 20, 2017 | $1.30 | $1.30 | $1.07 | $1.12 | 933 074 |
Mar 17, 2017 | $1.58 | $1.73 | $1.11 | $1.25 | 3 271 017 |
Mar 16, 2017 | $1.43 | $2.58 | $1.38 | $1.88 | 10 828 405 |
Mar 15, 2017 | $1.43 | $1.48 | $1.30 | $1.37 | 395 922 |
Mar 14, 2017 | $1.33 | $1.64 | $1.25 | $1.48 | 3 850 715 |
Mar 13, 2017 | $0.770 | $1.69 | $0.760 | $1.66 | 13 708 601 |
Mar 10, 2017 | $0.730 | $0.81 | $0.730 | $0.797 | 1 038 830 |
Mar 09, 2017 | $0.720 | $0.750 | $0.690 | $0.730 | 282 924 |
Mar 08, 2017 | $0.700 | $0.760 | $0.670 | $0.720 | 130 224 |
Mar 07, 2017 | $0.740 | $0.760 | $0.680 | $0.710 | 383 885 |
Mar 06, 2017 | $0.720 | $0.780 | $0.700 | $0.730 | 349 751 |
Mar 03, 2017 | $0.740 | $0.740 | $0.710 | $0.720 | 259 751 |
Mar 02, 2017 | $0.82 | $0.88 | $0.710 | $0.723 | 1 377 211 |
Mar 01, 2017 | $0.700 | $0.82 | $0.650 | $0.81 | 1 334 814 |
Feb 28, 2017 | $0.650 | $0.720 | $0.650 | $0.690 | 381 494 |
Feb 27, 2017 | $0.643 | $0.725 | $0.610 | $0.679 | 952 247 |
Feb 24, 2017 | $0.640 | $0.680 | $0.600 | $0.620 | 218 336 |
Feb 23, 2017 | $0.697 | $0.697 | $0.642 | $0.643 | 583 604 |
Feb 22, 2017 | $0.690 | $0.720 | $0.640 | $0.670 | 398 807 |
Feb 21, 2017 | $0.690 | $0.700 | $0.650 | $0.670 | 199 599 |
Feb 17, 2017 | $0.650 | $0.689 | $0.640 | $0.680 | 206 296 |
Feb 16, 2017 | $0.645 | $0.729 | $0.640 | $0.680 | 348 835 |
Feb 15, 2017 | $0.670 | $0.670 | $0.630 | $0.640 | 165 592 |
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 INNL stock historical prices to predict future price movements?
Trend Analysis: Examine the INNL 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 INNL 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.