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 |
Historical Pacific Ethanol prices
Date | Open | High | Low | Close | Volume |
May 24, 2016 | $4.76 | $5.05 | $4.76 | $5.01 | 1 115 305 |
May 23, 2016 | $4.65 | $4.73 | $4.55 | $4.65 | 281 111 |
May 20, 2016 | $4.56 | $4.73 | $4.54 | $4.69 | 332 667 |
May 19, 2016 | $4.28 | $4.63 | $4.28 | $4.53 | 664 516 |
May 18, 2016 | $4.14 | $4.37 | $4.11 | $4.33 | 538 611 |
May 17, 2016 | $4.21 | $4.34 | $4.09 | $4.12 | 387 096 |
May 16, 2016 | $4.24 | $4.39 | $4.16 | $4.21 | 410 707 |
May 13, 2016 | $4.26 | $4.40 | $4.11 | $4.14 | 360 271 |
May 12, 2016 | $4.48 | $4.56 | $4.22 | $4.29 | 495 700 |
May 11, 2016 | $4.45 | $4.80 | $4.34 | $4.43 | 506 829 |
May 10, 2016 | $4.25 | $4.61 | $4.25 | $4.45 | 537 358 |
May 09, 2016 | $4.64 | $4.65 | $4.23 | $4.25 | 985 513 |
May 06, 2016 | $4.31 | $4.67 | $4.19 | $4.64 | 737 789 |
May 05, 2016 | $3.80 | $4.38 | $3.74 | $4.37 | 885 018 |
May 04, 2016 | $4.30 | $4.49 | $4.14 | $4.26 | 460 200 |
May 03, 2016 | $4.42 | $4.42 | $4.07 | $4.28 | 526 925 |
May 02, 2016 | $4.72 | $4.72 | $4.48 | $4.52 | 506 731 |
Apr 29, 2016 | $4.92 | $5.01 | $4.60 | $4.73 | 560 167 |
Apr 28, 2016 | $5.07 | $5.22 | $4.87 | $4.91 | 398 479 |
Apr 27, 2016 | $4.92 | $5.12 | $4.84 | $5.10 | 477 473 |
Apr 26, 2016 | $4.88 | $4.99 | $4.82 | $4.88 | 271 412 |
Apr 25, 2016 | $4.94 | $4.94 | $4.74 | $4.87 | 378 570 |
Apr 22, 2016 | $4.85 | $5.09 | $4.77 | $4.91 | 658 155 |
Apr 21, 2016 | $4.71 | $4.81 | $4.56 | $4.80 | 595 603 |
Apr 20, 2016 | $4.51 | $4.76 | $4.49 | $4.67 | 712 702 |
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.