NASDAQ:AKRX
Delisted
Akorn Stock Price (Quote)
$0.0900
+0 (+0%)
At Close: Sep 04, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0900 | $0.0900 | Friday, 4th Sep 2020 AKRX stock ended at $0.0900. During the day the stock fluctuated 0% from a day low at $0.0900 to a day high of $0.0900. |
90 days | $0.0900 | $0.0900 | |
52 weeks | $0.0900 | $5.40 |
Historical Akorn prices
Date | Open | High | Low | Close | Volume |
Mar 13, 2019 | $3.78 | $3.79 | $3.50 | $3.51 | 5 573 746 |
Mar 12, 2019 | $3.71 | $4.26 | $3.66 | $3.74 | 14 445 699 |
Mar 11, 2019 | $3.83 | $3.87 | $3.69 | $3.71 | 2 688 681 |
Mar 08, 2019 | $3.62 | $3.80 | $3.61 | $3.77 | 1 846 203 |
Mar 07, 2019 | $3.61 | $3.73 | $3.59 | $3.65 | 2 008 716 |
Mar 06, 2019 | $3.96 | $3.98 | $3.60 | $3.62 | 2 655 290 |
Mar 05, 2019 | $4.00 | $4.03 | $3.93 | $3.97 | 1 838 514 |
Mar 04, 2019 | $4.29 | $4.44 | $3.86 | $3.98 | 3 924 140 |
Mar 01, 2019 | $4.09 | $4.29 | $3.98 | $4.29 | 1 984 654 |
Feb 28, 2019 | $3.56 | $4.09 | $3.42 | $4.05 | 3 345 152 |
Feb 27, 2019 | $4.10 | $4.13 | $3.78 | $3.81 | 3 167 974 |
Feb 26, 2019 | $4.01 | $4.16 | $3.94 | $4.12 | 1 833 483 |
Feb 25, 2019 | $4.21 | $4.22 | $3.99 | $4.02 | 1 616 537 |
Feb 22, 2019 | $4.09 | $4.22 | $4.07 | $4.20 | 1 727 492 |
Feb 21, 2019 | $4.03 | $4.13 | $4.02 | $4.08 | 1 615 398 |
Feb 20, 2019 | $4.44 | $4.55 | $4.02 | $4.04 | 2 411 825 |
Feb 19, 2019 | $4.45 | $4.50 | $4.31 | $4.45 | 1 020 672 |
Feb 15, 2019 | $4.36 | $4.47 | $4.27 | $4.44 | 1 191 964 |
Feb 14, 2019 | $4.27 | $4.37 | $4.26 | $4.33 | 1 022 131 |
Feb 13, 2019 | $4.21 | $4.30 | $4.11 | $4.27 | 1 622 091 |
Feb 12, 2019 | $4.07 | $4.35 | $4.07 | $4.20 | 2 157 288 |
Feb 11, 2019 | $4.18 | $4.23 | $4.01 | $4.06 | 1 990 370 |
Feb 08, 2019 | $4.28 | $4.31 | $3.99 | $4.14 | 1 226 059 |
Feb 07, 2019 | $4.27 | $4.38 | $4.18 | $4.31 | 1 760 059 |
Feb 06, 2019 | $4.23 | $4.42 | $4.22 | $4.29 | 1 316 613 |
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 AKRX stock historical prices to predict future price movements?
Trend Analysis: Examine the AKRX 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 AKRX 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.