NASDAQ:PHAS
Delisted
PhaseBio Pharmaceuticals Inc. Stock Price (Quote)
$0.0701
+0 (+0%)
At Close: Apr 03, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0701 | $0.0701 | Monday, 3rd Apr 2023 PHAS stock ended at $0.0701. During the day the stock fluctuated 0% from a day low at $0.0701 to a day high of $0.0701. |
90 days | $0.0300 | $0.0701 | |
52 weeks | $0.0100 | $1.69 |
Date | Open | High | Low | Close | Volume |
May 10, 2022 | $1.00 | $1.17 | $0.99 | $1.10 | 650 805 |
May 09, 2022 | $1.01 | $1.03 | $0.97 | $0.97 | 475 274 |
May 06, 2022 | $1.10 | $1.12 | $0.99 | $1.05 | 1 071 049 |
May 05, 2022 | $1.15 | $1.19 | $1.02 | $1.10 | 569 874 |
May 04, 2022 | $1.19 | $1.25 | $1.00 | $1.21 | 1 073 169 |
May 03, 2022 | $1.25 | $1.32 | $1.17 | $1.20 | 206 500 |
May 02, 2022 | $1.21 | $1.26 | $1.16 | $1.24 | 401 221 |
Apr 29, 2022 | $1.09 | $1.26 | $1.09 | $1.21 | 277 527 |
Apr 28, 2022 | $1.11 | $1.14 | $0.99 | $1.10 | 1 044 199 |
Apr 27, 2022 | $1.12 | $1.17 | $1.08 | $1.11 | 223 307 |
Apr 26, 2022 | $1.38 | $1.38 | $1.05 | $1.12 | 1 131 481 |
Apr 25, 2022 | $1.34 | $1.44 | $1.30 | $1.39 | 626 706 |
Apr 22, 2022 | $1.29 | $1.38 | $1.27 | $1.35 | 85 570 |
Apr 21, 2022 | $1.30 | $1.34 | $1.26 | $1.29 | 255 200 |
Apr 20, 2022 | $1.34 | $1.35 | $1.25 | $1.28 | 158 600 |
Apr 19, 2022 | $1.22 | $1.37 | $1.18 | $1.34 | 274 600 |
Apr 18, 2022 | $1.23 | $1.25 | $1.21 | $1.23 | 184 600 |
Apr 14, 2022 | $1.51 | $1.56 | $1.24 | $1.26 | 424 311 |
Apr 13, 2022 | $1.62 | $1.62 | $1.43 | $1.52 | 477 007 |
Apr 12, 2022 | $1.46 | $1.69 | $1.45 | $1.59 | 755 336 |
Apr 11, 2022 | $1.40 | $1.50 | $1.33 | $1.45 | 469 275 |
Apr 08, 2022 | $1.30 | $1.40 | $1.28 | $1.35 | 593 600 |
Apr 07, 2022 | $1.12 | $1.32 | $1.12 | $1.30 | 1 023 300 |
Apr 06, 2022 | $1.10 | $1.14 | $1.08 | $1.12 | 468 300 |
Apr 05, 2022 | $1.19 | $1.19 | $1.09 | $1.10 | 621 100 |
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 PHAS stock historical prices to predict future price movements?
Trend Analysis: Examine the PHAS 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 PHAS 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.