NASDAQ:PEIX
Delisted
Pacific Ethanol Stock Price (Quote)
$5.87
+0 (+0%)
At Close: Jul 20, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.87 | $5.87 | Wednesday, 20th Jul 2022 PEIX stock ended at $5.87. During the day the stock fluctuated 0% from a day low at $5.87 to a day high of $5.87. |
90 days | $5.87 | $5.87 | |
52 weeks | $4.39 | $6.33 |
Date | Open | High | Low | Close | Volume |
Jan 19, 2022 | $5.26 | $5.28 | $4.98 | $5.03 | 1 596 155 |
Jan 18, 2022 | $5.20 | $5.31 | $5.08 | $5.22 | 1 529 520 |
Jan 14, 2022 | $5.15 | $5.31 | $5.08 | $5.17 | 1 251 900 |
Jan 13, 2022 | $5.17 | $5.32 | $5.11 | $5.13 | 1 206 840 |
Jan 12, 2022 | $5.47 | $5.58 | $5.15 | $5.16 | 2 152 650 |
Jan 11, 2022 | $5.28 | $5.41 | $5.15 | $5.36 | 1 480 648 |
Jan 10, 2022 | $5.11 | $5.30 | $5.07 | $5.23 | 813 895 |
Jan 07, 2022 | $5.35 | $5.41 | $5.16 | $5.17 | 799 142 |
Jan 06, 2022 | $5.29 | $5.47 | $5.09 | $5.35 | 1 332 280 |
Jan 05, 2022 | $5.52 | $5.65 | $5.16 | $5.19 | 1 655 766 |
Jan 04, 2022 | $5.23 | $5.52 | $5.23 | $5.50 | 2 128 279 |
Jan 03, 2022 | $4.82 | $5.23 | $4.82 | $5.18 | 1 623 717 |
Dec 31, 2021 | $4.81 | $4.90 | $4.80 | $4.81 | 726 241 |
Dec 30, 2021 | $4.83 | $4.92 | $4.78 | $4.83 | 1 276 808 |
Dec 29, 2021 | $4.77 | $4.91 | $4.64 | $4.80 | 1 366 298 |
Dec 28, 2021 | $4.91 | $4.96 | $4.76 | $4.78 | 1 031 745 |
Dec 27, 2021 | $4.85 | $4.97 | $4.73 | $4.93 | 1 124 225 |
Dec 23, 2021 | $4.93 | $4.96 | $4.85 | $4.86 | 585 644 |
Dec 22, 2021 | $4.93 | $4.95 | $4.83 | $4.93 | 884 107 |
Dec 21, 2021 | $4.88 | $4.98 | $4.86 | $4.94 | 1 266 857 |
Dec 20, 2021 | $4.68 | $4.87 | $4.60 | $4.80 | 1 603 527 |
Dec 17, 2021 | $4.73 | $4.91 | $4.64 | $4.76 | 3 460 996 |
Dec 16, 2021 | $4.92 | $5.00 | $4.72 | $4.76 | 1 411 665 |
Dec 15, 2021 | $4.71 | $4.87 | $4.44 | $4.85 | 2 293 853 |
Dec 14, 2021 | $4.84 | $4.92 | $4.68 | $4.71 | 1 601 343 |
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 PEIX stock historical prices to predict future price movements?
Trend Analysis: Examine the PEIX 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 PEIX 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.