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 |
Jan 07, 2021 | $1.32 | $1.42 | $1.30 | $1.41 | 719 818 |
Jan 06, 2021 | $1.45 | $1.45 | $1.31 | $1.35 | 1 111 068 |
Jan 05, 2021 | $1.43 | $1.49 | $1.33 | $1.42 | 997 596 |
Jan 04, 2021 | $1.56 | $1.57 | $1.39 | $1.46 | 2 188 851 |
Dec 31, 2020 | $1.55 | $1.61 | $1.51 | $1.58 | 645 581 |
Dec 30, 2020 | $1.42 | $1.65 | $1.41 | $1.55 | 1 354 588 |
Dec 29, 2020 | $1.71 | $1.73 | $1.39 | $1.46 | 3 293 417 |
Dec 28, 2020 | $1.80 | $1.81 | $1.63 | $1.72 | 1 371 028 |
Dec 24, 2020 | $2.00 | $2.03 | $1.65 | $1.72 | 2 797 558 |
Dec 23, 2020 | $1.73 | $2.09 | $1.72 | $2.01 | 2 802 057 |
Dec 22, 2020 | $1.80 | $1.84 | $1.53 | $1.79 | 4 146 752 |
Dec 21, 2020 | $1.58 | $1.79 | $1.46 | $1.77 | 4 382 314 |
Dec 18, 2020 | $1.49 | $1.52 | $1.44 | $1.50 | 2 792 586 |
Dec 17, 2020 | $1.41 | $1.50 | $1.36 | $1.49 | 2 765 972 |
Dec 16, 2020 | $1.25 | $1.44 | $1.23 | $1.42 | 2 705 039 |
Dec 15, 2020 | $1.40 | $1.40 | $1.17 | $1.33 | 3 175 032 |
Dec 14, 2020 | $1.09 | $1.47 | $1.09 | $1.28 | 9 386 734 |
Dec 11, 2020 | $1.13 | $1.14 | $1.06 | $1.09 | 1 402 365 |
Dec 10, 2020 | $0.99 | $1.20 | $0.96 | $1.10 | 4 631 893 |
Dec 09, 2020 | $0.96 | $1.04 | $0.93 | $0.97 | 1 543 409 |
Dec 08, 2020 | $0.94 | $1.01 | $0.94 | $0.98 | 888 956 |
Dec 07, 2020 | $1.01 | $1.01 | $0.92 | $0.94 | 1 114 595 |
Dec 04, 2020 | $1.01 | $1.03 | $0.99 | $1.01 | 497 660 |
Dec 03, 2020 | $0.99 | $1.03 | $0.94 | $1.01 | 1 071 462 |
Dec 02, 2020 | $0.94 | $1.02 | $0.90 | $0.96 | 705 096 |
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.