NASDAQ:PLXP
Delisted
PLx Pharma Inc Stock Price (Quote)
$0.0440
+0 (+0%)
At Close: Jul 12, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0440 | $0.0440 | Wednesday, 12th Jul 2023 PLXP stock ended at $0.0440. During the day the stock fluctuated 0% from a day low at $0.0440 to a day high of $0.0440. |
90 days | $0.0261 | $0.0495 | |
52 weeks | $0.0261 | $3.08 |
Date | Open | High | Low | Close | Volume |
Sep 22, 2022 | $0.580 | $0.600 | $0.512 | $0.543 | 207 465 |
Sep 21, 2022 | $0.611 | $0.640 | $0.565 | $0.567 | 218 745 |
Sep 20, 2022 | $0.592 | $0.618 | $0.590 | $0.601 | 131 605 |
Sep 19, 2022 | $0.639 | $0.650 | $0.580 | $0.591 | 337 454 |
Sep 16, 2022 | $0.640 | $0.646 | $0.600 | $0.623 | 466 769 |
Sep 15, 2022 | $0.630 | $0.667 | $0.620 | $0.635 | 314 801 |
Sep 14, 2022 | $0.789 | $0.789 | $0.598 | $0.648 | 760 480 |
Sep 13, 2022 | $0.779 | $0.791 | $0.750 | $0.750 | 148 233 |
Sep 12, 2022 | $0.80 | $0.80 | $0.770 | $0.780 | 88 299 |
Sep 09, 2022 | $0.80 | $0.83 | $0.776 | $0.792 | 253 905 |
Sep 08, 2022 | $0.750 | $0.81 | $0.730 | $0.794 | 185 425 |
Sep 07, 2022 | $0.730 | $0.763 | $0.725 | $0.735 | 177 826 |
Sep 06, 2022 | $0.750 | $0.778 | $0.683 | $0.695 | 372 244 |
Sep 02, 2022 | $0.82 | $0.84 | $0.753 | $0.760 | 265 358 |
Sep 01, 2022 | $0.83 | $0.84 | $0.80 | $0.82 | 200 000 |
Aug 31, 2022 | $0.98 | $0.98 | $0.81 | $0.83 | 496 981 |
Aug 30, 2022 | $0.98 | $1.02 | $0.91 | $0.92 | 324 754 |
Aug 29, 2022 | $0.90 | $1.11 | $0.85 | $0.99 | 1 401 305 |
Aug 26, 2022 | $0.96 | $0.98 | $0.91 | $0.91 | 276 016 |
Aug 25, 2022 | $0.97 | $0.98 | $0.90 | $0.94 | 332 254 |
Aug 24, 2022 | $0.97 | $0.97 | $0.93 | $0.94 | 327 421 |
Aug 23, 2022 | $0.92 | $0.99 | $0.90 | $0.97 | 393 652 |
Aug 22, 2022 | $0.88 | $0.94 | $0.86 | $0.90 | 612 177 |
Aug 19, 2022 | $1.00 | $1.01 | $0.85 | $0.87 | 555 064 |
Aug 18, 2022 | $1.01 | $1.06 | $0.92 | $0.96 | 1 076 436 |
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 PLXP stock historical prices to predict future price movements?
Trend Analysis: Examine the PLXP 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 PLXP 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.