NASDAQ:APRI
Delisted
Apricus Biosciences Fund Price (Quote)
$1.03
+0 (+0%)
At Close: May 27, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.03 | $1.03 | Friday, 27th May 2022 APRI stock ended at $1.03. During the day the stock fluctuated 0% from a day low at $1.03 to a day high of $1.03. |
90 days | $1.03 | $1.11 | |
52 weeks | $0.92 | $3.59 |
Date | Open | High | Low | Close | Volume |
Dec 01, 2020 | $0.98 | $0.98 | $0.98 | $0.98 | 0 |
Nov 30, 2020 | $1.05 | $1.06 | $0.93 | $0.98 | 1 213 490 |
Nov 27, 2020 | $0.90 | $1.05 | $0.90 | $1.03 | 2 862 258 |
Nov 25, 2020 | $0.86 | $0.91 | $0.84 | $0.90 | 679 262 |
Nov 24, 2020 | $0.84 | $0.91 | $0.81 | $0.86 | 1 303 356 |
Nov 23, 2020 | $0.780 | $0.84 | $0.770 | $0.84 | 895 735 |
Nov 20, 2020 | $0.83 | $0.83 | $0.775 | $0.790 | 570 439 |
Nov 19, 2020 | $0.88 | $0.88 | $0.795 | $0.81 | 1 497 019 |
Nov 18, 2020 | $0.81 | $0.83 | $0.770 | $0.790 | 474 333 |
Nov 17, 2020 | $0.81 | $0.83 | $0.798 | $0.81 | 636 405 |
Nov 16, 2020 | $0.85 | $0.87 | $0.81 | $0.82 | 513 296 |
Nov 13, 2020 | $0.88 | $0.92 | $0.84 | $0.86 | 807 966 |
Nov 12, 2020 | $0.88 | $0.92 | $0.85 | $0.92 | 692 534 |
Nov 11, 2020 | $0.86 | $0.88 | $0.80 | $0.86 | 574 360 |
Nov 10, 2020 | $0.81 | $0.87 | $0.790 | $0.83 | 483 706 |
Nov 09, 2020 | $0.82 | $0.84 | $0.782 | $0.81 | 258 847 |
Nov 06, 2020 | $0.84 | $0.85 | $0.781 | $0.80 | 307 523 |
Nov 05, 2020 | $0.81 | $0.84 | $0.799 | $0.82 | 493 299 |
Nov 04, 2020 | $0.80 | $0.81 | $0.791 | $0.796 | 336 553 |
Nov 03, 2020 | $0.80 | $0.81 | $0.772 | $0.790 | 250 707 |
Nov 02, 2020 | $0.750 | $0.81 | $0.749 | $0.789 | 330 320 |
Oct 30, 2020 | $0.779 | $0.779 | $0.731 | $0.740 | 167 868 |
Oct 29, 2020 | $0.730 | $0.777 | $0.730 | $0.770 | 258 447 |
Oct 28, 2020 | $0.778 | $0.800 | $0.722 | $0.738 | 490 693 |
Oct 27, 2020 | $0.774 | $0.81 | $0.770 | $0.780 | 243 869 |
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 APRI stock historical prices to predict future price movements?
Trend Analysis: Examine the APRI 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 APRI 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.