NYSE:RNN
Delisted
Rexahn Pharmaceuticals, Inc. Stock Price (Quote)
$5.24
+0 (+0%)
At Close: Sep 19, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.24 | $5.24 | Thursday, 19th Sep 2019 RNN stock ended at $5.24. During the day the stock fluctuated 0% from a day low at $5.24 to a day high of $5.24. |
90 days | $5.24 | $5.24 | |
52 weeks | $0.430 | $9.18 |
Date | Open | High | Low | Close | Volume |
Mar 22, 2019 | $0.542 | $0.550 | $0.520 | $0.530 | 211 722 |
Mar 21, 2019 | $0.561 | $0.561 | $0.546 | $0.546 | 218 921 |
Mar 20, 2019 | $0.540 | $0.558 | $0.540 | $0.558 | 166 333 |
Mar 19, 2019 | $0.557 | $0.564 | $0.540 | $0.549 | 220 101 |
Mar 18, 2019 | $0.560 | $0.574 | $0.551 | $0.565 | 264 907 |
Mar 15, 2019 | $0.570 | $0.574 | $0.551 | $0.569 | 321 236 |
Mar 14, 2019 | $0.564 | $0.580 | $0.551 | $0.565 | 340 929 |
Mar 13, 2019 | $0.552 | $0.576 | $0.550 | $0.574 | 152 401 |
Mar 12, 2019 | $0.560 | $0.580 | $0.539 | $0.566 | 269 570 |
Mar 11, 2019 | $0.550 | $0.570 | $0.523 | $0.565 | 356 241 |
Mar 08, 2019 | $0.557 | $0.590 | $0.536 | $0.568 | 501 276 |
Mar 07, 2019 | $0.556 | $0.560 | $0.530 | $0.557 | 392 833 |
Mar 06, 2019 | $0.551 | $0.561 | $0.523 | $0.548 | 471 886 |
Mar 05, 2019 | $0.530 | $0.570 | $0.514 | $0.557 | 1 410 817 |
Mar 04, 2019 | $0.550 | $0.550 | $0.520 | $0.538 | 374 760 |
Mar 01, 2019 | $0.512 | $0.530 | $0.500 | $0.524 | 504 534 |
Feb 28, 2019 | $0.522 | $0.535 | $0.501 | $0.519 | 523 997 |
Feb 27, 2019 | $0.530 | $0.550 | $0.507 | $0.530 | 657 456 |
Feb 26, 2019 | $0.530 | $0.530 | $0.510 | $0.518 | 428 956 |
Feb 25, 2019 | $0.540 | $0.540 | $0.505 | $0.520 | 736 350 |
Feb 22, 2019 | $0.565 | $0.565 | $0.500 | $0.536 | 1 970 912 |
Feb 21, 2019 | $0.605 | $0.615 | $0.570 | $0.575 | 1 344 464 |
Feb 20, 2019 | $0.564 | $0.608 | $0.540 | $0.576 | 3 492 518 |
Feb 19, 2019 | $0.599 | $0.599 | $0.500 | $0.564 | 2 338 671 |
Feb 15, 2019 | $0.600 | $0.600 | $0.563 | $0.570 | 508 444 |
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 RNN stock historical prices to predict future price movements?
Trend Analysis: Examine the RNN 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 RNN 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.