NASDAQ:OPXA
Delisted
Opexa Therapeutics Fund Price (Quote)
$0.97
+0 (+0%)
At Close: Jan 16, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.97 | $0.97 | Tuesday, 16th Jan 2018 OPXA stock ended at $0.97. During the day the stock fluctuated 0% from a day low at $0.97 to a day high of $0.97. |
90 days | $0.97 | $0.97 | |
52 weeks | $0.550 | $1.45 |
Date | Open | High | Low | Close | Volume |
Feb 24, 2017 | $1.04 | $1.05 | $0.93 | $0.97 | 443 911 |
Feb 23, 2017 | $1.13 | $1.13 | $1.04 | $1.04 | 251 193 |
Feb 22, 2017 | $1.09 | $1.15 | $1.05 | $1.10 | 259 441 |
Feb 21, 2017 | $1.16 | $1.16 | $1.08 | $1.08 | 248 908 |
Feb 17, 2017 | $1.05 | $1.10 | $1.05 | $1.10 | 137 065 |
Feb 16, 2017 | $1.06 | $1.12 | $1.05 | $1.06 | 327 533 |
Feb 15, 2017 | $1.15 | $1.26 | $1.06 | $1.09 | 2 157 072 |
Feb 14, 2017 | $1.03 | $1.12 | $1.00 | $1.11 | 1 306 640 |
Feb 13, 2017 | $1.02 | $1.05 | $1.00 | $1.01 | 190 170 |
Feb 10, 2017 | $1.05 | $1.05 | $0.99 | $1.00 | 134 604 |
Feb 09, 2017 | $1.01 | $1.05 | $0.98 | $1.03 | 265 338 |
Feb 08, 2017 | $1.01 | $1.02 | $0.97 | $1.01 | 190 602 |
Feb 07, 2017 | $1.00 | $1.03 | $0.96 | $1.02 | 569 131 |
Feb 06, 2017 | $1.08 | $1.19 | $1.00 | $1.00 | 1 842 233 |
Feb 03, 2017 | $1.00 | $1.10 | $0.99 | $1.04 | 918 528 |
Feb 02, 2017 | $1.01 | $1.10 | $0.98 | $1.04 | 1 154 871 |
Feb 01, 2017 | $0.95 | $1.03 | $0.93 | $1.00 | 231 575 |
Jan 31, 2017 | $0.93 | $1.03 | $0.92 | $0.95 | 345 594 |
Jan 30, 2017 | $1.00 | $1.00 | $0.92 | $0.95 | 140 625 |
Jan 27, 2017 | $1.00 | $1.00 | $0.95 | $0.97 | 139 114 |
Jan 26, 2017 | $1.00 | $1.02 | $0.95 | $0.97 | 158 887 |
Jan 25, 2017 | $1.06 | $1.07 | $0.96 | $0.96 | 465 914 |
Jan 24, 2017 | $0.95 | $1.08 | $0.91 | $1.00 | 1 316 612 |
Jan 23, 2017 | $0.92 | $0.95 | $0.90 | $0.93 | 150 410 |
Jan 20, 2017 | $0.90 | $0.96 | $0.90 | $0.90 | 219 376 |
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 OPXA stock historical prices to predict future price movements?
Trend Analysis: Examine the OPXA 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 OPXA 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.