NASDAQ:DRNA
Delisted
Dicerna Pharmaceuticals Stock Price (Quote)
$38.22
+0 (+0%)
At Close: May 27, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $38.22 | $38.22 | Friday, 27th May 2022 DRNA stock ended at $38.22. During the day the stock fluctuated 0% from a day low at $38.22 to a day high of $38.22. |
90 days | $38.22 | $38.22 | |
52 weeks | $19.06 | $40.14 |
Date | Open | High | Low | Close | Volume |
Sep 25, 2018 | $16.85 | $17.00 | $16.62 | $16.75 | 766 353 |
Sep 24, 2018 | $16.15 | $17.07 | $15.98 | $16.87 | 623 348 |
Sep 21, 2018 | $16.80 | $16.96 | $15.81 | $15.99 | 1 378 292 |
Sep 20, 2018 | $16.44 | $16.87 | $16.11 | $16.80 | 311 937 |
Sep 19, 2018 | $16.85 | $16.95 | $16.16 | $16.32 | 367 325 |
Sep 18, 2018 | $16.99 | $17.57 | $16.22 | $16.93 | 621 698 |
Sep 17, 2018 | $17.82 | $17.85 | $16.56 | $17.09 | 561 391 |
Sep 14, 2018 | $16.62 | $17.98 | $16.60 | $17.69 | 747 439 |
Sep 13, 2018 | $15.97 | $17.12 | $15.91 | $16.62 | 733 804 |
Sep 12, 2018 | $16.08 | $16.48 | $15.29 | $15.43 | 529 116 |
Sep 11, 2018 | $15.82 | $16.62 | $15.65 | $16.15 | 510 062 |
Sep 10, 2018 | $14.74 | $16.05 | $14.28 | $15.99 | 1 068 289 |
Sep 07, 2018 | $14.60 | $15.99 | $14.11 | $14.81 | 4 730 000 |
Sep 06, 2018 | $15.50 | $15.69 | $12.76 | $13.02 | 1 838 100 |
Sep 05, 2018 | $17.00 | $17.50 | $15.81 | $15.90 | 2 450 137 |
Sep 04, 2018 | $15.84 | $15.97 | $15.62 | $15.74 | 504 231 |
Aug 31, 2018 | $15.67 | $16.16 | $15.67 | $15.85 | 244 129 |
Aug 30, 2018 | $15.73 | $16.22 | $15.63 | $15.74 | 245 609 |
Aug 29, 2018 | $15.49 | $15.89 | $15.31 | $15.68 | 231 017 |
Aug 28, 2018 | $15.55 | $15.86 | $15.34 | $15.55 | 238 477 |
Aug 27, 2018 | $15.50 | $15.90 | $15.35 | $15.49 | 405 265 |
Aug 24, 2018 | $15.65 | $15.77 | $15.19 | $15.34 | 272 919 |
Aug 23, 2018 | $16.07 | $16.12 | $15.38 | $15.46 | 227 316 |
Aug 22, 2018 | $15.82 | $16.20 | $15.46 | $15.89 | 403 271 |
Aug 21, 2018 | $15.52 | $16.00 | $15.46 | $15.90 | 348 669 |
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 DRNA stock historical prices to predict future price movements?
Trend Analysis: Examine the DRNA 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 DRNA 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.