NASDAQ:ACRX
Delisted
AcelRx Pharmaceuticals Stock Price (Quote)
$0.86
+0 (+0%)
At Close: Apr 08, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.86 | $0.86 | Monday, 8th Apr 2024 ACRX stock ended at $0.86. During the day the stock fluctuated 0% from a day low at $0.86 to a day high of $0.86. |
90 days | $0.778 | $0.88 | |
52 weeks | $0.425 | $1.42 |
Historical AcelRx Pharmaceuticals prices
Date | Open | High | Low | Close | Volume |
Feb 09, 2017 | $2.90 | $3.10 | $2.90 | $3.10 | 147 648 |
Feb 08, 2017 | $3.00 | $3.05 | $2.90 | $2.90 | 155 182 |
Feb 07, 2017 | $3.10 | $3.15 | $3.00 | $3.00 | 215 313 |
Feb 06, 2017 | $3.00 | $3.15 | $3.00 | $3.10 | 325 962 |
Feb 03, 2017 | $2.85 | $3.00 | $2.83 | $3.00 | 556 657 |
Feb 02, 2017 | $2.65 | $2.85 | $2.65 | $2.85 | 261 764 |
Feb 01, 2017 | $2.65 | $2.70 | $2.60 | $2.65 | 169 820 |
Jan 31, 2017 | $2.60 | $2.65 | $2.55 | $2.65 | 136 061 |
Jan 30, 2017 | $2.55 | $2.65 | $2.55 | $2.60 | 120 417 |
Jan 27, 2017 | $2.60 | $2.65 | $2.55 | $2.60 | 153 441 |
Jan 26, 2017 | $2.65 | $2.65 | $2.55 | $2.55 | 141 702 |
Jan 25, 2017 | $2.65 | $2.65 | $2.60 | $2.65 | 155 663 |
Jan 24, 2017 | $2.65 | $2.65 | $2.55 | $2.60 | 190 676 |
Jan 23, 2017 | $2.65 | $2.65 | $2.55 | $2.60 | 174 804 |
Jan 20, 2017 | $2.70 | $2.75 | $2.65 | $2.65 | 166 956 |
Jan 19, 2017 | $2.75 | $2.75 | $2.70 | $2.70 | 90 213 |
Jan 18, 2017 | $2.80 | $2.80 | $2.67 | $2.75 | 82 176 |
Jan 17, 2017 | $2.80 | $2.85 | $2.70 | $2.75 | 123 997 |
Jan 13, 2017 | $2.80 | $2.95 | $2.80 | $2.85 | 277 314 |
Jan 12, 2017 | $2.85 | $2.85 | $2.65 | $2.85 | 277 647 |
Jan 11, 2017 | $2.90 | $2.95 | $2.65 | $2.70 | 737 769 |
Jan 10, 2017 | $2.65 | $2.70 | $2.55 | $2.65 | 212 843 |
Jan 09, 2017 | $2.65 | $2.65 | $2.45 | $2.55 | 286 747 |
Jan 06, 2017 | $2.70 | $2.70 | $2.55 | $2.60 | 200 084 |
Jan 05, 2017 | $2.60 | $2.70 | $2.60 | $2.65 | 120 826 |
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 ACRX stock historical prices to predict future price movements?
Trend Analysis: Examine the ACRX 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 ACRX 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.