NYSE:PFNX
Delisted
Pfenex Inc Stock Price (Quote)
$12.75
+0 (+0%)
At Close: Dec 08, 2021
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $12.75 | $12.75 | Wednesday, 8th Dec 2021 PFNX stock ended at $12.75. During the day the stock fluctuated 0% from a day low at $12.75 to a day high of $12.75. |
90 days | $12.75 | $12.75 | |
52 weeks | $12.75 | $12.75 |
Date | Open | High | Low | Close | Volume |
Sep 30, 2020 | $12.74 | $12.94 | $12.74 | $12.75 | 1 625 300 |
Sep 29, 2020 | $12.86 | $12.86 | $12.73 | $12.76 | 8 086 060 |
Sep 28, 2020 | $12.69 | $12.84 | $12.69 | $12.80 | 1 306 031 |
Sep 25, 2020 | $12.68 | $12.71 | $12.66 | $12.69 | 566 884 |
Sep 24, 2020 | $12.70 | $12.73 | $12.66 | $12.69 | 1 325 745 |
Sep 23, 2020 | $12.72 | $12.78 | $12.70 | $12.71 | 605 416 |
Sep 22, 2020 | $12.69 | $12.86 | $12.68 | $12.86 | 599 355 |
Sep 21, 2020 | $12.68 | $12.74 | $12.66 | $12.68 | 554 896 |
Sep 18, 2020 | $12.70 | $12.75 | $12.66 | $12.75 | 1 481 997 |
Sep 17, 2020 | $12.66 | $12.75 | $12.66 | $12.70 | 186 416 |
Sep 16, 2020 | $12.75 | $12.76 | $12.69 | $12.69 | 818 088 |
Sep 15, 2020 | $12.73 | $12.76 | $12.69 | $12.70 | 642 646 |
Sep 14, 2020 | $12.72 | $12.78 | $12.66 | $12.71 | 555 820 |
Sep 11, 2020 | $12.67 | $12.78 | $12.65 | $12.70 | 197 597 |
Sep 10, 2020 | $12.74 | $12.77 | $12.60 | $12.71 | 342 814 |
Sep 09, 2020 | $12.60 | $12.71 | $12.60 | $12.66 | 284 957 |
Sep 08, 2020 | $12.60 | $12.70 | $12.60 | $12.63 | 190 499 |
Sep 04, 2020 | $12.85 | $12.87 | $12.60 | $12.69 | 292 629 |
Sep 03, 2020 | $12.55 | $12.95 | $12.55 | $12.88 | 941 932 |
Sep 02, 2020 | $12.59 | $12.65 | $12.53 | $12.61 | 508 750 |
Sep 01, 2020 | $12.57 | $12.62 | $12.52 | $12.62 | 335 880 |
Aug 31, 2020 | $12.63 | $12.64 | $12.51 | $12.53 | 884 010 |
Aug 28, 2020 | $12.59 | $12.63 | $12.50 | $12.55 | 754 664 |
Aug 27, 2020 | $12.60 | $12.61 | $12.51 | $12.54 | 641 538 |
Aug 26, 2020 | $12.63 | $12.64 | $12.51 | $12.57 | 854 007 |
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 PFNX stock historical prices to predict future price movements?
Trend Analysis: Examine the PFNX 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 PFNX 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.