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 |
Historical Pfenex Inc prices
Date | Open | High | Low | Close | Volume |
May 08, 2020 | $6.12 | $6.66 | $6.02 | $6.43 | 441 100 |
May 07, 2020 | $5.80 | $6.30 | $5.77 | $6.25 | 465 989 |
May 06, 2020 | $5.82 | $6.01 | $5.65 | $5.74 | 200 932 |
May 05, 2020 | $5.75 | $6.26 | $5.68 | $5.83 | 477 411 |
May 04, 2020 | $5.50 | $5.75 | $5.41 | $5.56 | 428 171 |
May 01, 2020 | $5.70 | $5.70 | $5.26 | $5.41 | 561 402 |
Apr 30, 2020 | $6.05 | $6.05 | $5.58 | $5.75 | 915 073 |
Apr 29, 2020 | $6.35 | $6.52 | $6.00 | $6.00 | 651 800 |
Apr 28, 2020 | $6.64 | $6.66 | $6.25 | $6.31 | 362 056 |
Apr 27, 2020 | $6.50 | $6.68 | $6.41 | $6.47 | 431 068 |
Apr 24, 2020 | $6.46 | $6.55 | $6.06 | $6.40 | 571 439 |
Apr 23, 2020 | $6.48 | $6.73 | $6.24 | $6.41 | 740 915 |
Apr 22, 2020 | $6.23 | $6.29 | $5.96 | $6.15 | 319 642 |
Apr 21, 2020 | $6.20 | $6.32 | $5.91 | $6.09 | 443 776 |
Apr 20, 2020 | $6.41 | $6.49 | $6.16 | $6.38 | 381 475 |
Apr 17, 2020 | $6.40 | $6.66 | $6.20 | $6.40 | 642 741 |
Apr 16, 2020 | $6.75 | $6.77 | $6.15 | $6.26 | 567 252 |
Apr 15, 2020 | $8.15 | $8.16 | $5.62 | $6.45 | 1 404 310 |
Apr 14, 2020 | $9.72 | $9.93 | $8.88 | $8.94 | 208 998 |
Apr 13, 2020 | $9.17 | $9.76 | $8.85 | $9.41 | 164 104 |
Apr 09, 2020 | $9.22 | $9.39 | $8.63 | $9.10 | 230 363 |
Apr 08, 2020 | $9.00 | $9.17 | $8.87 | $8.99 | 129 268 |
Apr 07, 2020 | $9.00 | $9.14 | $8.63 | $8.84 | 250 794 |
Apr 06, 2020 | $8.60 | $9.24 | $8.60 | $8.93 | 220 637 |
Apr 03, 2020 | $8.60 | $8.69 | $8.32 | $8.39 | 154 564 |
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.