NASDAQ:ZYNE
Delisted
Zynerba Pharmaceuticals Stock Price (Quote)
$1.30
+0 (+0%)
At Close: Jan 09, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.30 | $1.30 | Tuesday, 9th Jan 2024 ZYNE stock ended at $1.30. During the day the stock fluctuated 0% from a day low at $1.30 to a day high of $1.30. |
90 days | $1.30 | $1.30 | |
52 weeks | $0.250 | $1.40 |
Date | Open | High | Low | Close | Volume |
Oct 27, 2022 | $0.710 | $0.710 | $0.680 | $0.687 | 116 236 |
Oct 26, 2022 | $0.719 | $0.730 | $0.700 | $0.702 | 109 303 |
Oct 25, 2022 | $0.660 | $0.720 | $0.650 | $0.720 | 277 569 |
Oct 24, 2022 | $0.670 | $0.680 | $0.642 | $0.659 | 103 576 |
Oct 21, 2022 | $0.679 | $0.679 | $0.660 | $0.670 | 114 092 |
Oct 20, 2022 | $0.650 | $0.683 | $0.650 | $0.673 | 191 919 |
Oct 19, 2022 | $0.695 | $0.720 | $0.651 | $0.660 | 163 949 |
Oct 18, 2022 | $0.734 | $0.734 | $0.683 | $0.684 | 121 864 |
Oct 17, 2022 | $0.688 | $0.712 | $0.660 | $0.712 | 216 225 |
Oct 14, 2022 | $0.670 | $0.686 | $0.650 | $0.686 | 103 781 |
Oct 13, 2022 | $0.661 | $0.700 | $0.621 | $0.663 | 192 488 |
Oct 12, 2022 | $0.690 | $0.713 | $0.660 | $0.681 | 128 777 |
Oct 11, 2022 | $0.700 | $0.735 | $0.650 | $0.672 | 250 240 |
Oct 10, 2022 | $0.741 | $0.741 | $0.680 | $0.700 | 215 577 |
Oct 07, 2022 | $0.769 | $0.82 | $0.741 | $0.741 | 242 308 |
Oct 06, 2022 | $0.730 | $0.83 | $0.708 | $0.82 | 563 804 |
Oct 05, 2022 | $0.770 | $0.81 | $0.720 | $0.730 | 200 070 |
Oct 04, 2022 | $0.784 | $0.82 | $0.722 | $0.760 | 442 425 |
Oct 03, 2022 | $0.791 | $0.83 | $0.710 | $0.776 | 311 814 |
Sep 30, 2022 | $0.80 | $0.84 | $0.732 | $0.732 | 580 606 |
Sep 29, 2022 | $0.85 | $0.86 | $0.770 | $0.782 | 465 545 |
Sep 28, 2022 | $0.86 | $0.97 | $0.85 | $0.86 | 394 417 |
Sep 27, 2022 | $0.86 | $0.88 | $0.85 | $0.85 | 197 558 |
Sep 26, 2022 | $0.89 | $0.95 | $0.82 | $0.82 | 475 992 |
Sep 23, 2022 | $0.92 | $0.93 | $0.87 | $0.87 | 314 885 |
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 ZYNE stock historical prices to predict future price movements?
Trend Analysis: Examine the ZYNE 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 ZYNE 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.