Puma Biotechnology Inc Stock Price (Quote)
$4.10
-0.315 (-7.14%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.08 | $5.34 | Friday, 17th May 2024 PBYI stock ended at $4.10. This is 7.14% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 21.81% from a day low at $4.08 to a day high of $4.97. |
90 days | $4.08 | $7.15 | |
52 weeks | $2.13 | $7.73 |
Date | Open | High | Low | Close | Volume |
Aug 02, 2023 | $3.52 | $3.63 | $3.47 | $3.61 | 122 028 |
Aug 01, 2023 | $3.63 | $3.67 | $3.49 | $3.55 | 83 368 |
Jul 31, 2023 | $3.63 | $3.74 | $3.61 | $3.62 | 142 836 |
Jul 28, 2023 | $3.46 | $3.61 | $3.46 | $3.59 | 124 533 |
Jul 27, 2023 | $3.52 | $3.55 | $3.45 | $3.45 | 71 816 |
Jul 26, 2023 | $3.57 | $3.60 | $3.49 | $3.51 | 85 195 |
Jul 25, 2023 | $3.53 | $3.62 | $3.53 | $3.57 | 74 715 |
Jul 24, 2023 | $3.56 | $3.58 | $3.50 | $3.55 | 109 053 |
Jul 21, 2023 | $3.47 | $3.59 | $3.46 | $3.54 | 137 349 |
Jul 20, 2023 | $3.32 | $3.50 | $3.28 | $3.46 | 186 063 |
Jul 19, 2023 | $3.28 | $3.40 | $3.27 | $3.34 | 107 150 |
Jul 18, 2023 | $3.39 | $3.56 | $3.28 | $3.31 | 256 794 |
Jul 17, 2023 | $3.32 | $3.45 | $3.24 | $3.43 | 138 296 |
Jul 14, 2023 | $3.49 | $3.49 | $3.31 | $3.33 | 221 248 |
Jul 13, 2023 | $3.35 | $3.48 | $3.31 | $3.48 | 186 604 |
Jul 12, 2023 | $3.32 | $3.37 | $3.28 | $3.36 | 117 231 |
Jul 11, 2023 | $3.22 | $3.33 | $3.16 | $3.30 | 134 042 |
Jul 10, 2023 | $3.10 | $3.25 | $3.07 | $3.20 | 205 195 |
Jul 07, 2023 | $3.07 | $3.13 | $3.00 | $3.11 | 168 175 |
Jul 06, 2023 | $3.06 | $3.12 | $2.93 | $3.07 | 316 506 |
Jul 05, 2023 | $3.29 | $3.29 | $3.04 | $3.06 | 496 718 |
Jul 03, 2023 | $3.53 | $3.53 | $3.24 | $3.27 | 294 254 |
Jun 30, 2023 | $3.43 | $3.55 | $3.41 | $3.53 | 189 223 |
Jun 29, 2023 | $3.31 | $3.41 | $3.15 | $3.40 | 350 687 |
Jun 28, 2023 | $3.56 | $3.56 | $3.28 | $3.28 | 268 784 |
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 PBYI stock historical prices to predict future price movements?
Trend Analysis: Examine the PBYI 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 PBYI 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.