NASDAQ:ATHX
Delisted
Athersys Stock Price (Quote)
$0.0135
+0 (+0%)
At Close: Apr 05, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0135 | $0.0135 | Friday, 5th Apr 2024 ATHX stock ended at $0.0135. During the day the stock fluctuated 0% from a day low at $0.0135 to a day high of $0.0135. |
90 days | $0.0116 | $0.0212 | |
52 weeks | $0.0116 | $1.14 |
Historical Athersys prices
Date | Open | High | Low | Close | Volume |
Mar 10, 2020 | $1.47 | $1.50 | $1.28 | $1.34 | 2 201 600 |
Mar 09, 2020 | $1.23 | $1.93 | $1.18 | $1.41 | 7 142 783 |
Mar 06, 2020 | $1.22 | $1.25 | $1.19 | $1.21 | 651 694 |
Mar 05, 2020 | $1.26 | $1.27 | $1.21 | $1.22 | 393 490 |
Mar 04, 2020 | $1.25 | $1.29 | $1.23 | $1.26 | 499 502 |
Mar 03, 2020 | $1.19 | $1.30 | $1.19 | $1.22 | 789 570 |
Mar 02, 2020 | $1.19 | $1.23 | $1.18 | $1.22 | 481 858 |
Feb 28, 2020 | $1.26 | $1.26 | $1.19 | $1.20 | 1 269 526 |
Feb 27, 2020 | $1.21 | $1.25 | $1.20 | $1.20 | 801 718 |
Feb 26, 2020 | $1.23 | $1.25 | $1.21 | $1.22 | 392 322 |
Feb 25, 2020 | $1.25 | $1.26 | $1.21 | $1.23 | 773 571 |
Feb 24, 2020 | $1.28 | $1.28 | $1.24 | $1.25 | 488 410 |
Feb 21, 2020 | $1.28 | $1.29 | $1.25 | $1.28 | 442 761 |
Feb 20, 2020 | $1.26 | $1.27 | $1.24 | $1.27 | 390 975 |
Feb 19, 2020 | $1.26 | $1.29 | $1.23 | $1.26 | 683 261 |
Feb 18, 2020 | $1.23 | $1.28 | $1.22 | $1.24 | 656 182 |
Feb 14, 2020 | $1.28 | $1.30 | $1.21 | $1.24 | 687 815 |
Feb 13, 2020 | $1.32 | $1.33 | $1.28 | $1.29 | 543 055 |
Feb 12, 2020 | $1.35 | $1.36 | $1.31 | $1.32 | 468 953 |
Feb 11, 2020 | $1.34 | $1.36 | $1.34 | $1.35 | 371 792 |
Feb 10, 2020 | $1.37 | $1.37 | $1.32 | $1.34 | 526 324 |
Feb 07, 2020 | $1.37 | $1.38 | $1.35 | $1.35 | 404 641 |
Feb 06, 2020 | $1.39 | $1.39 | $1.36 | $1.36 | 440 159 |
Feb 05, 2020 | $1.39 | $1.39 | $1.37 | $1.38 | 263 835 |
Feb 04, 2020 | $1.38 | $1.39 | $1.37 | $1.38 | 458 944 |
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 ATHX stock historical prices to predict future price movements?
Trend Analysis: Examine the ATHX 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 ATHX 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.