NASDAQ:ACOR
Acorda Therapeutics Stock Price (Quote)
$0.661
+0 (+0%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.661 | $0.661 | Thursday, 16th May 2024 ACOR stock ended at $0.661. During the day the stock fluctuated 0% from a day low at $0.661 to a day high of $0.661. |
90 days | $0.612 | $15.31 | |
52 weeks | $0.502 | $18.21 |
Date | Open | High | Low | Close | Volume |
Apr 21, 2020 | $1.20 | $1.30 | $1.10 | $1.12 | 1 271 170 |
Apr 20, 2020 | $1.06 | $1.37 | $1.04 | $1.20 | 2 549 405 |
Apr 17, 2020 | $1.10 | $1.13 | $1.06 | $1.06 | 571 481 |
Apr 16, 2020 | $1.08 | $1.13 | $1.02 | $1.06 | 591 863 |
Apr 15, 2020 | $1.13 | $1.16 | $1.01 | $1.06 | 583 093 |
Apr 14, 2020 | $1.12 | $1.20 | $1.08 | $1.14 | 1 060 595 |
Apr 13, 2020 | $1.07 | $1.12 | $1.00 | $1.08 | 801 079 |
Apr 09, 2020 | $1.00 | $1.08 | $0.99 | $1.07 | 1 239 262 |
Apr 08, 2020 | $0.93 | $0.98 | $0.88 | $0.98 | 1 056 109 |
Apr 07, 2020 | $0.95 | $1.03 | $0.88 | $0.93 | 1 001 415 |
Apr 06, 2020 | $0.92 | $0.94 | $0.89 | $0.93 | 759 527 |
Apr 03, 2020 | $0.84 | $0.89 | $0.82 | $0.87 | 653 280 |
Apr 02, 2020 | $0.83 | $0.97 | $0.81 | $0.85 | 1 110 696 |
Apr 01, 2020 | $0.92 | $0.95 | $0.790 | $0.795 | 1 495 859 |
Mar 31, 2020 | $1.04 | $1.05 | $0.93 | $0.93 | 901 943 |
Mar 30, 2020 | $1.06 | $1.14 | $0.98 | $0.98 | 1 028 823 |
Mar 27, 2020 | $1.09 | $1.17 | $1.04 | $1.04 | 903 676 |
Mar 26, 2020 | $1.03 | $1.20 | $0.99 | $1.11 | 1 967 152 |
Mar 25, 2020 | $0.91 | $1.04 | $0.89 | $0.99 | 1 216 437 |
Mar 24, 2020 | $0.92 | $1.00 | $0.87 | $0.90 | 917 050 |
Mar 23, 2020 | $0.95 | $0.96 | $0.82 | $0.87 | 835 606 |
Mar 20, 2020 | $0.87 | $1.13 | $0.87 | $0.97 | 2 198 401 |
Mar 19, 2020 | $0.774 | $0.89 | $0.750 | $0.85 | 854 475 |
Mar 18, 2020 | $0.750 | $0.792 | $0.710 | $0.777 | 887 418 |
Mar 17, 2020 | $0.80 | $0.81 | $0.700 | $0.795 | 1 460 035 |
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 ACOR stock historical prices to predict future price movements?
Trend Analysis: Examine the ACOR 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 ACOR 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.