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 |
Jan 31, 2024 | $4.76 | $4.86 | $4.65 | $4.70 | 213 420 |
Jan 30, 2024 | $4.91 | $4.91 | $4.68 | $4.77 | 216 801 |
Jan 29, 2024 | $4.88 | $5.02 | $4.79 | $4.98 | 267 482 |
Jan 26, 2024 | $4.95 | $5.03 | $4.78 | $4.87 | 159 663 |
Jan 25, 2024 | $5.10 | $5.10 | $4.86 | $4.95 | 261 768 |
Jan 24, 2024 | $5.10 | $5.10 | $4.93 | $5.00 | 217 729 |
Jan 23, 2024 | $5.05 | $5.08 | $4.89 | $5.01 | 275 471 |
Jan 22, 2024 | $4.74 | $5.05 | $4.72 | $4.98 | 456 643 |
Jan 19, 2024 | $5.16 | $5.16 | $4.60 | $4.71 | 748 915 |
Jan 18, 2024 | $5.00 | $5.14 | $4.91 | $5.12 | 540 192 |
Jan 17, 2024 | $5.58 | $5.58 | $4.89 | $4.98 | 664 027 |
Jan 16, 2024 | $4.94 | $5.67 | $4.94 | $5.44 | 1 153 810 |
Jan 12, 2024 | $4.56 | $4.99 | $4.56 | $4.95 | 369 722 |
Jan 11, 2024 | $4.77 | $4.77 | $4.51 | $4.56 | 245 071 |
Jan 10, 2024 | $4.80 | $4.90 | $4.69 | $4.78 | 236 719 |
Jan 09, 2024 | $4.82 | $4.89 | $4.58 | $4.78 | 322 422 |
Jan 08, 2024 | $4.77 | $4.90 | $4.52 | $4.82 | 572 932 |
Jan 05, 2024 | $4.25 | $4.73 | $4.17 | $4.69 | 418 406 |
Jan 04, 2024 | $4.38 | $4.44 | $4.25 | $4.29 | 504 934 |
Jan 03, 2024 | $4.55 | $4.77 | $4.34 | $4.39 | 587 692 |
Jan 02, 2024 | $4.34 | $4.58 | $4.12 | $4.53 | 330 935 |
Dec 29, 2023 | $4.34 | $4.36 | $4.20 | $4.33 | 219 116 |
Dec 28, 2023 | $4.41 | $4.50 | $4.23 | $4.35 | 200 272 |
Dec 27, 2023 | $4.45 | $4.59 | $4.18 | $4.34 | 557 441 |
Dec 26, 2023 | $4.17 | $4.48 | $4.16 | $4.46 | 251 781 |
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.